D-Cube - User contributions [en]

Topology of Nodes

2023-01-07T12:02:22Z

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MediaWiki:Sidebar

2023-01-07T12:02:00Z

Carlo:

* Home
** mainpage|Main Page
** Vision & Roadmap|Vision & Roadmap
** EWSN Dependability Competition Series|EWSN Dependability Competition Series

* Testbed Facility
** https://iti-testbed.tugraz.at/overview|Jobs overview
** Observer Nodes|Observer Nodes
** Supported Platforms|Supported Platforms
** Topology of Nodes|Topology of Nodes
** Special Features|Special Features

* Benchmark suites
** Overview of Available Suites|Overview of Available Suites
** https://iti-testbed.tugraz.at/leaderboard/benchmarksuite/1|Suite SkyDC_1 - Results
** https://iti-testbed.tugraz.at/leaderboard/benchmarksuite/2|Suite SkyDD_1 - Results
** https://iti-testbed.tugraz.at/leaderboard/benchmarksuite/3|Suite nRFDC_1 - Results
** https://iti-testbed.tugraz.at/leaderboard/benchmarksuite/4|Suite nRFDD_1 - Results

* Usage
** Testbed Access|Testbed Access
** How to Use|How to Use

* About
** Contact|Contact
** Publications|Publications
** Disclaimer|Disclaimer
** Data Protection|Privacy Policy

* Extra
** recentchanges-url|recentchanges
** randompage-url|randompage
** helppage|help-mediawiki

* SEARCH
* TOOLBOX
* LANGUAGES

Jamming patterns

2021-06-02T21:19:38Z

Carlo:

Jamming level 1: Wi-Fi channel 7, medium intensity (power 30, length 1000)

Jamming level 2: all Wi-Fi channels, light intensity (power 30, length 600)

Jamming level 3: all Wi-Fi channels, heavy intensity (power 200, length 1000)

Jamming level 4: variable over time on all Wi-Fi channels (customized)

Jamming level 5: variable over time on all Wi-Fi channels (ramping up over time)

Jamming level 6: Wi-Fi channel 2, medium intensity (power 30, length 1000)

Jamming level 7: Wi-Fi channel 2, high intensity (power 200, length 1000)

Jamming level 8: Wi-Fi channel 7, high intensity (power 200, length 1000)

Jamming level 9: Wi-Fi channel 13, medium intensity (power 30, length 1000)

Jamming level 10: Wi-Fi channel 13, high intensity (power 200, length 1000)

Jamming patterns

2021-06-02T21:19:15Z

Carlo:

Jamming level 1 = Wi-Fi channel 7, medium intensity (power 30, length 1000)

Jamming level 2: all Wi-Fi channels, light intensity (power 30, length 600)

Jamming level 3: all Wi-Fi channels, heavy intensity (power 200, length 1000)

Jamming level 4: variable over time on all Wi-Fi channels (customized)

Jamming level 5: variable over time on all Wi-Fi channels (ramping up over time)

Jamming level 6 = Wi-Fi channel 2, medium intensity (power 30, length 1000)

Jamming level 7 = Wi-Fi channel 2, high intensity (power 200, length 1000)

Jamming level 8 = Wi-Fi channel 7, high intensity (power 200, length 1000)

Jamming level 9 = Wi-Fi channel 13, medium intensity (power 30, length 1000)

Jamming level 10 = Wi-Fi channel 13, high intensity (power 200, length 1000)

Jamming patterns

2021-06-02T21:19:00Z

Carlo: Created page with "Jamming level 1 = Wi-Fi channel 7, medium intensity (power 30, length 1000) Jamming level 2: all Wi-Fi channels, light intensity (power 30, length 600) Jamming level 3: all Wi..."

Jamming level 1 = Wi-Fi channel 7, medium intensity (power 30, length 1000)
Jamming level 2: all Wi-Fi channels, light intensity (power 30, length 600)
Jamming level 3: all Wi-Fi channels, heavy intensity (power 200, length 1000)
Jamming level 4: variable over time on all Wi-Fi channels (customized)
Jamming level 5: variable over time on all Wi-Fi channels (ramping up over time)
Jamming level 6 = Wi-Fi channel 2, medium intensity (power 30, length 1000)
Jamming level 7 = Wi-Fi channel 2, high intensity (power 200, length 1000)
Jamming level 8 = Wi-Fi channel 7, high intensity (power 200, length 1000)
Jamming level 9 = Wi-Fi channel 13, medium intensity (power 30, length 1000)
Jamming level 10 = Wi-Fi channel 13, high intensity (power 200, length 1000)

Special Features

2021-06-02T21:18:33Z

Carlo:

{|
|Reproducible Wi-Fi interference generation. D-Cube embeds JamLab-NG, an open-source framework allowing the generation of controllable Wi-Fi interference using the off-the-shelf devices such as the Raspberry Pi 3. JamLab-NG enables the fine-grained control of individual link-layer frames sent by the BCM43430A1 Wi-Fi module embedded in the Raspberry Pi 3, avoiding the uncontrollable delays introduced by the network stack, operating system, and clear channel assessment procedure. JamLab-NG also allows generating repeatable Wi-Fi interference patterns by controlling radio settings such as the transmission speed and the packet length, which would otherwise be automatically adapted by the radio firmware at runtime. Each observer node in D-Cube can act as an interfering device using JamLab-NG in parallel to its measurement tasks. The JamLab-NG code is based on [https://github.com/seemoo-lab/nexmon NexMon] and is [http://www.iti.tugraz.at/JamLab-NG openly available] to the community. An article describing JamLab-NG in detail is available as PDF [http://www.carloalbertoboano.com/documents/schuss19jamlabng.pdf here]. For a description of the jamming patterns currently available in D-Cube, please refer to [[Jamming patterns|this page]].
|[[File:empty.png|left|195px]]
|[[File:jamlabng_architecture.png|2475px|right]]
|}

{|
|Binary patching. D-Cube embeds the ability to build and apply patches to binary files. This allows a large degree of freedom when testing protocol performance: binary patching allows indeed D-Cube to seamlessly benchmark the firmware under test for different sets of input parameters, such as the amount of data to be transmitted, traffic patterns and load, as well as node identity (i.e., address of the source and destination nodes).
In particular, D-Cube directly injects these input parameters into the firmware under test by exploiting a well-known data structure, as explained in [http://www.carloalbertoboano.com/documents/schuss18benchmark.pdf this paper] (Section IV). Essentially, the developers add a new section to their base firmware containing an instance of the well-known data structure assigning placeholder values for all its fields that will be automatically replaced by D-Cube's binary patching framework. The latter even allows developers to define user-defined protocol parameters, a useful feature to check which protocol parameters actually deliver the best performance.
|[[File:empty.png|left|195px]]
|[[File:Binary_patching.png|1475px|right]]
|}

{|
|EEPROM mailbox. D-Cube makes use of an EEPROM acting as a mailbox between the benchmarking infrastructure and the target nodes running the firmware under test in order to schedule the transmission and timestamp the reception of data packets. In particular, an I2C bus is shared between each D-Cube's [[Observer Nodes|observer node]] and the target nodes (Tmote Sky, nRF52840) connected to it. D-Cube signals the availability of new data to be transmitted from a given node by loading the information onto the EEPROM and by toggling a pre-defined GPIO pin. Conversely, a target node can signal the reception of new data by writing it to the EEPROM and by raising a pre-defined GPIO pin accordingly. D-Cube then verifies the correctness of the information written in the EEPROM and uses the GPIO rising edge timestamp to compute the end-to-end latency of communications in the network. For more information, please refer to [[How to Use|this page]].
|[[File:empty.png|left|195px]]
|[[File:dcube_eeprom.png|2775px|right]]
|}

EWSN Dependability Competition Series

2020-12-11T13:55:25Z

Carlo:

Following the IoTBench [[Vision & Roadmap|vision]], in 2016, we have started a [https://iot.ieee.org/newsletter/march-2017/ewsn-dependability-competition-experiences-and-lessons-learned Dependability Competition Series] as a first attempt to rigorously benchmark the performance of low-power wireless systems under the same settings in harsh RF environments.
It is exactly to support this competition series that we have created D-Cube, a benchmarking infrastructure that allows us to accurately measure key dependability metrics such as end-to-end delay, reliability, and power consumption, as well as to graphically visualize their evolution in real-time.
The dependability competition has been co-located with the International Conference on Embedded Wireless Systems and Networks (EWSN) for several years, namely with:
* EWSN 2016 in Graz, Austria [http://ewsn2016.tugraz.at/cms/index.php%3Fid=49.html (link)];
* EWSN 2017 in Uppsala, Sweden [http://ewsn2017.it.uu.se/dependability-competition1.html (link)];
* EWSN 2018 in Madrid, Spain [https://ewsn2018.networks.imdea.org/competition-program.html (link)];
* EWSN 2019 in Beijing, China [http://ewsn2019.thss.tsinghua.edu.cn/call-for-competitors.html (link)].
 
The benchmark suites used in each competition are available [[Overview of Available Suites|here]] and the corresponding results can be browsed in the corresponding tab.

EWSN Dependability Competition Series

2020-12-11T13:55:13Z

Carlo:

Following the IoTBench [[Vision & Roadmap|vision]], in 2016, we have started a [https://iot.ieee.org/newsletter/march-2017/ewsn-dependability-competition-experiences-and-lessons-learned Dependability Competition Series] as a first attempt to rigorously benchmark the performance of low-power wireless systems under the same settings in harsh RF environments.
It is exactly to support this competition series that we have created D-Cube, a benchmarking infrastructure that allows us to accurately measure key dependability metrics such as end-to-end delay, reliability, and power consumption, as well as to graphically visualize their evolution in real-time.
The dependability competition has been co-located with the International Conference on Embedded Wireless Systems and Networks (EWSN) for several years, namely with:
* EWSN 2016 in Graz, Austria [http://ewsn2016.tugraz.at/cms/index.php%3Fid=49.html (link)];
* EWSN 2017 in Uppsala, Sweden [http://ewsn2017.it.uu.se/dependability-competition1.html (link)];
* EWSN 2018 in Madrid, Spain [https://ewsn2018.networks.imdea.org/competition-program.html (link)];
* EWSN 2019 in Beijing, China [http://ewsn2019.thss.tsinghua.edu.cn/call-for-competitors.html (link)].

The benchmark suites used in each competition are available [[Overview of Available Suites|here]] and the corresponding results can be browsed in the corresponding tab.

EWSN Dependability Competition Series

2020-12-11T13:51:55Z

Carlo:

EWSN Dependability Competition Series

2020-12-11T13:49:28Z

Carlo: Created page with "Following the IoTBench (vision), in 2016, we have started a [https://iot.ieee.org/newsletter/march-2017/ewsn-dependability-competition-experiences-and-les..."

Following the IoTBench ([[Vision & Roadmap|vision]]), in 2016, we have started a [https://iot.ieee.org/newsletter/march-2017/ewsn-dependability-competition-experiences-and-lessons-learned Dependability Competition Series] as a first attempt to rigorously benchmark the performance of low-power wireless systems under the same settings in harsh RF environments. To support the competition, we have created D-Cube, a benchmarking infrastructure that allows to accurately measure key dependability metrics such as end-to-end delay, reliability, and power consumption, as well as to graphically visualize their evolution in real-time. The dependability competition has been co-located with the International Conference on Embedded Wireless Systems and Networks in:
* [http://ewsn2016.tugraz.at/cms/index.php%3Fid=49.html 2016 (Graz, Austria)];
* [http://ewsn2017.it.uu.se/dependability-competition1.html 2017];
* [https://ewsn2018.networks.imdea.org/competition-program.html 2018];
* [http://ewsn2019.thss.tsinghua.edu.cn/call-for-competitors.html 2019].

MediaWiki:Sidebar

2020-12-11T13:46:43Z

Carlo:

* Home
** mainpage|Main Page
** Vision & Roadmap|Vision & Roadmap
** EWSN Dependability Competition Series|EWSN Dependability Competition Series

* Testbed Facility
** https://iti-testbed.tugraz.at/overview|Jobs overview
** Observer Nodes|Observer Nodes
** Supported Platforms|Supported Platforms
** Special Features|Special Features

* Benchmark suites
** Overview of Available Suites|Overview of Available Suites
** https://iti-testbed.tugraz.at/leaderboard/benchmarksuite/1|Suite SkyDC_1 - Results
** https://iti-testbed.tugraz.at/leaderboard/benchmarksuite/2|Suite SkyDD_1 - Results
** https://iti-testbed.tugraz.at/leaderboard/benchmarksuite/3|Suite nRFDC_1 - Results
** https://iti-testbed.tugraz.at/leaderboard/benchmarksuite/4|Suite nRFDD_1 - Results

* Usage
** Testbed Access|Testbed Access
** How to Use|How to Use

* About
** Contact|Contact
** Publications|Publications
** Disclaimer|Disclaimer
** Data Protection|Privacy Policy

* Extra
** recentchanges-url|recentchanges
** randompage-url|randompage
** helppage|help-mediawiki

* SEARCH
* TOOLBOX
* LANGUAGES

MediaWiki:Sidebar

2020-12-11T13:46:04Z

Carlo:

* Home
** mainpage|Main Page
** Vision & Roadmap|Vision & Roadmap
** EWSN Dependability Competition Series

* Testbed Facility
** https://iti-testbed.tugraz.at/overview|Jobs overview
** Observer Nodes|Observer Nodes
** Supported Platforms|Supported Platforms
** Special Features|Special Features

* Benchmark suites
** Overview of Available Suites|Overview of Available Suites
** https://iti-testbed.tugraz.at/leaderboard/benchmarksuite/1|Suite SkyDC_1 - Results
** https://iti-testbed.tugraz.at/leaderboard/benchmarksuite/2|Suite SkyDD_1 - Results
** https://iti-testbed.tugraz.at/leaderboard/benchmarksuite/3|Suite nRFDC_1 - Results
** https://iti-testbed.tugraz.at/leaderboard/benchmarksuite/4|Suite nRFDD_1 - Results

* Usage
** Testbed Access|Testbed Access
** How to Use|How to Use

* About
** Contact|Contact
** Publications|Publications
** Disclaimer|Disclaimer
** Data Protection|Privacy Policy

* Extra
** recentchanges-url|recentchanges
** randompage-url|randompage
** helppage|help-mediawiki

* SEARCH
* TOOLBOX
* LANGUAGES

Testbed Access

2020-02-28T13:26:24Z

Carlo:

Basic access to D-Cube is subject to an agreement between the users of the facility and the Institute of Technical Informatics at Graz University of Technology about the nature of the experiments to be carried out and what is considered to be an acceptable use of the benchmarking facility.

 
{|
|To request a D-Cube account, download the terms and conditions for the use of the benchmarking facility by clicking on the PDF image on the right. If you accept all terms and conditions, enter your details, sign the document, and send a scanned copy via e-mail to [mailto:dcube@iti.tugraz.at dcube(at)iti(dot)tugraz(dot)at]. 
As soon as your registration is processed and accepted, you will receive a confirmation e-mail with your credentials. You can then log in at [https://iti-testbed.tugraz.at/auth/login this page] and start using D-Cube. Please note that D-Cube is a best-effort service: the availability and functionality of the benchmarking facility is not guaranteed ([[Disclaimer|more info]]).
|[[File:empty.png|left|100px]]
|[[File:Pdf_logo.png|left|175px|Download terms and conditions|link=https://iti-testbed.tugraz.at/wiki/images/1/19/Terms_and_conditions.pdf]]
|}

In case you are interested in using D-Cube with a prioritized access policy, or require additional features, please [https://iti-testbed.tugraz.at/wiki/index.php/Contact contact us].

Testbed Access

2020-02-28T13:22:30Z

Carlo:

Access to D-Cube is subject to an agreement between the users of the facility and the Institute of Technical Informatics at Graz University of Technology about the nature of the experiments to be carried out and what is considered to be an acceptable use of the benchmarking facility.

 
{|
|To request a D-Cube account, download the terms and conditions for the use of the benchmarking facility by clicking on the PDF image on the right. If you accept all terms and conditions, enter your details, sign the document, and send a scanned copy via e-mail to [mailto:dcube@iti.tugraz.at dcube(at)iti(dot)tugraz(dot)at]. 
As soon as your registration is processed and accepted, you will receive a confirmation e-mail with your credentials. You can then log in at [https://iti-testbed.tugraz.at/auth/login this page] and start using D-Cube. Please note that D-Cube is a best-effort service: the availability and functionality of the benchmarking facility is not guaranteed ([[Disclaimer|more info]]).
|[[File:empty.png|left|100px]]
|[[File:Pdf_logo.png|left|175px|Download terms and conditions|link=https://iti-testbed.tugraz.at/wiki/images/1/19/Terms_and_conditions.pdf]]
|}

In case you are interested in using D-Cube with a prioritized access policy, or require additional features, please [https://iti-testbed.tugraz.at/wiki/index.php/Contact contact us].

Testbed Access

2020-02-28T13:21:14Z

Carlo:

Access to D-Cube is subject to an agreement between the users of the facility and the Institute of Technical Informatics at Graz University of Technology about the nature of the experiments to be carried out and what is considered to be an acceptable use of the benchmarking facility.

 
{|
|To request a D-Cube account, download the terms and conditions for the use of the benchmarking facility by clicking on the PDF image on the right. If you accept all terms and conditions, enter your details, sign the document, and send a scanned copy via e-mail to [mailto:dcube@iti.tugraz.at dcube(at)iti(dot)tugraz(dot)at]. 
As soon as your registration is processed and accepted, you will receive a confirmation e-mail with your credentials. You can then log in at [https://iti-testbed.tugraz.at/auth/login this page] and start using D-Cube. Please note that D-Cube is a best-effort service: the availability and functionality of the benchmarking facility is not guaranteed ([[Disclaimer|more info]]).
|[[File:empty.png|left|100px]]
|[[File:Pdf_logo.png|left|175px|Download terms and conditions|link=https://iti-testbed.tugraz.at/wiki/images/1/19/Terms_and_conditions.pdf]]
|}

Industrial companies interested in make exclusive use of D-Cube or interested in additional features can [https://iti-testbed.tugraz.at/wiki/index.php/Contact contact us].

Supported Platforms

2020-02-28T13:14:19Z

Carlo:

Up to four hardware platforms can be attached to D-Cube's [[Observer Nodes|observer nodes]]. Currently, two platforms are supported:
<ol>
{|
|<li>Tmote Sky. D-Cube embeds 48 [https://www.advanticsys.com/shop/mtmcm5000msp-p-14.html Advanticsys MTM-CM5000-MSP motes]: IEEE 802.15.4-compliant wireless sensor nodes based on the original open-source TelosB (Tmote Sky) platform design developed and published by the University of California, Berkeley ([https://insense.cs.st-andrews.ac.uk/files/2013/04/tmote-sky-datasheet.pdf datasheet]). Based on the MSP430 microcontroller and the IEEE 802.15.4-compliant Texas Instruments CC2420 radio transceiver, the Berkeley motes have been driving wireless sensor networks and IoT research for the past 15 years, and a large number of low-power wireless protocols have been ported and tested on this platform. </li> 
|[[File:empty.png|left|150px]]
|[[File:observer_node.png|thumb|Observer connected to a Tmote Sky.|350px|center]]
|}
{|
|<li>nRF52840. D-Cube embeds 48 [https://www.nordicsemi.com/Software-and-Tools/Development-Kits/nRF52840-DK Nordic Semiconductors nRF52840-DK nodes]: versatile single-board development kits for Bluetooth 5, Bluetooth mesh, Thread, Zigbee, IEEE 802.15.4, ANT, and 2.4 GHz proprietary applications ([https://www.nordicsemi.com/-/media/DocLib/Other/User_Guides/nRF52840DKUserGuidev13pdf.pdf datasheet]). Based on an ARM Cortex-M4 with floating point support, the nRF52840 is one of the new-generation IoT platforms. The nRF52840 has received attention from the low-power wireless community thanks to its support for multiple radio technologies, as well as for its support for BLE 5 and its improved PHY layer modes, which support a longer communication range and high on-air data rates. </li> 
|[[File:empty.png|left|150px]]
|[[File:observer_node2.jpg|thumb|Observer connected to Tmote Sky & nRF52840.|350px|center]]
|}
</ol>

Overview of Available Suites

2020-02-27T16:00:25Z

Carlo:

D-Cube currently supports four benchmark suites. Each suite is specified by: (i) a given hardware platform, (ii) a given application scenario, and (iii) a set of performance metrics. We describe next the benchmark suites on a high level:
<ol>
<li>SkyDC_1 (Tmote Sky Data Collection v1). This benchmark resembles the first category of the [http://ewsn2019.thss.tsinghua.edu.cn/competition-scenario.html EWSN 2019 dependability competition].
<ul>
<li>Hardware platform: Tmote Sky.</li>
<li>Application scenario: In this benchmark, a fixed number of source nodes (at most eight) communicate to a single destination node over a multi-hop network. This benchmark hence focuses on multipoint-to-point traffic. In particular, each destination node collects sensor data of different length transmitted by the different source nodes and allows out-of-order delivery.</li>
<li>Performance metrics: The measured performance metrics are: (i) the reliability of transmissions, i.e., the number of messages correctly reported to each intended destination, (ii) the average end-to-end latency in communicating each message to its intended destination(s), and (iii) the average energy consumption on all nodes in the network. Note that, on each run, during the first 60 seconds no data is generated and the energy consumption is not measured, so to allow the firmware under test to bootstrap the network.</li>
</ul>
The results of this benchmark are available [https://iti-testbed.tugraz.at/leaderboard/benchmarksuite/1 here]. An example of the pre-defined config struct for binary patching for this benchmark suite is available [https://iti-testbed.tugraz.at/wiki/images/9/97/SkyDC_1.zip here].</li> 

<li>SkyDD_1 (Tmote Sky Data Dissemination v1). This benchmark resembles the second category of the [http://ewsn2019.thss.tsinghua.edu.cn/competition-scenario.html EWSN 2019 dependability competition].
<ul>
<li>Hardware platform: Tmote Sky.</li>
<li>Application scenario: In this benchmark, a fixed number of source nodes (at most eight) needs to disseminate actuation commands of different length to a specific set of destination nodes over a multi-hop network. This benchmark hence focuses on point-to-multipoint traffic. In particular, each source node is associated with a specific set of destinations (at most eight), which will be injected as an input parameter into the firmware under test. A destination can receive messages from only a single source node, cannot act as a source at the same time, and allows out-of-order delivery.</li>
<li>Performance metrics: The measured performance metrics are: (i) the reliability of transmissions, i.e., the number of messages correctly reported to each intended destination, (ii) the average end-to-end latency in communicating each message to its intended destination(s), and (iii) the average energy consumption on all nodes in the network. Note that, on each run, during the first 60 seconds no data is generated and the energy consumption is not measured, so to allow the firmware under test to bootstrap the network.
</ul>
The results of this benchmark are available [https://iti-testbed.tugraz.at/leaderboard/benchmarksuite/2 here]. An example of the pre-defined config struct for binary patching for this benchmark suite is available [https://iti-testbed.tugraz.at/wiki/images/9/97/SkyDC_1.zip here].</li> 

<li>nRFDC_1 (nRF52840 Timely Data Collection v1). This benchmark runs on the nRF52840 platform and resembles a data collection with bounded delays within a multi-hop network.
<ul>
<li>Hardware platform: nRF52840.</li>
<li>Application scenario: This benchmark focuses on multipoint-to-point traffic: up to 48 source nodes generate raw sensor values of different lengths, which should be communicated to the same destination. The latter may be located several hops away from a given source node, even when making use of the coded PHY layers available on the nRF52. The messages containing the raw sensor values should be forwarded to the intended destination as efficiently as possible within a maximum per-message delay bound ∂, i.e., the end-to-end delay of every message from its generation to its reception at the destination should be lower than ∂ (which is fixed and applies to all messages exchanged during a test run). If a message has been received with an end-to-end delay greater than ∂, it is considered to be lost.</li>
<li>Performance metrics: The measured performance metrics are: (i) the reliability of transmissions, i.e., the number of messages correctly reported to each intended destination, and (ii) the average energy consumption on all nodes in the network. Note that, on each run, during the first 60 seconds no data is generated and the energy consumption is not measured, so to allow the firmware under test to bootstrap the network.
</ul>
The results of this benchmark are available [https://iti-testbed.tugraz.at/leaderboard/benchmarksuite/3 here]. An example of the pre-defined config struct for binary patching for this benchmark suite is available [https://iti-testbed.tugraz.at/wiki/images/d/db/NRFDC_1.zip here].</li> 

<li>nRFDD_1 (nRF52840 Timely Data Dissemination v1). This benchmark runs on the nRF52840 platform and resembles a data dissemination with bounded delays within a multi-hop network.
<ul>
<li>Hardware platform: nRF52840.</li>
<li>Application scenario: In this benchmark, a single source nodes needs to disseminate actuation commands of different length to a specific set of up to 48 destination nodes over a multi-hop network. This benchmark hence focuses on point-to-multipoint traffic. The identity of the source node and its associated destinations nodes be injected as an input parameter into the firmware under test. A destination cannot act as a source at the same time, but allows out-of-order delivery. The messages should be disseminated to all intended destinations as efficiently as possible within a maximum per-message delay bound ∂, i.e., the end-to-end delay of every message from its generation to its reception at the destination should be lower than ∂ (which is fixed and applies to all messages exchanged during a test run). If a message has been received with an end-to-end delay greater than ∂, it is considered to be lost.</li>
<li>Performance metrics: The measured performance metrics are: (i) the reliability of transmissions, i.e., the number of messages correctly reported to each intended destination, and (ii) the average energy consumption on all nodes in the network. Note that, on each run, during the first 60 seconds no data is generated and the energy consumption is not measured, so to allow the firmware under test to bootstrap the network.
</ul>
The results of this benchmark are available [https://iti-testbed.tugraz.at/leaderboard/benchmarksuite/4 here]. An example of the pre-defined config struct for binary patching for this benchmark suite is available [https://iti-testbed.tugraz.at/wiki/images/d/db/NRFDC_1.zip here].</li> 
</ol>

Testbed Access

2020-01-15T14:44:48Z

Carlo:

Access to D-Cube is subject to an agreement between the users of the facility and the Institute of Technical Informatics at Graz University of Technology about the nature of the experiments to be carried out and what is considered to be an acceptable use of the benchmarking facility.

 
{|
|To request a D-Cube account, download the terms and conditions for the use of the benchmarking facility by clicking on the PDF image on the right. If you accept all terms and conditions, enter your details, sign the document, and send a scanned copy via e-mail to [mailto:dcube@iti.tugraz.at dcube(at)iti(dot)tugraz(dot)at]. 
As soon as your registration is processed and accepted, you will receive a confirmation e-mail with your credentials. You can then log in at [https://iti-testbed.tugraz.at/auth/login this page] and start using D-Cube.
|[[File:empty.png|left|100px]]
|[[File:Pdf_logo.png|left|175px|Download terms and conditions|link=https://iti-testbed.tugraz.at/wiki/images/1/19/Terms_and_conditions.pdf]]
|}

Please note that D-Cube is a best-effort service: the availability and functionality of the benchmarking facility is not guaranteed ([[Disclaimer|more info]]).

Overview of Available Suites

2019-12-05T13:25:39Z

Carlo:

D-Cube currently supports three benchmark suites. Each suite is specified by: (i) a given hardware platform, (ii) a given application scenario, and (iii) a set of performance metrics. We describe next the benchmark suites on a high level:
<ol>
<li>SkyDC_1 (Tmote Sky Data Collection v1). This benchmark resembles the first category of the [http://ewsn2019.thss.tsinghua.edu.cn/competition-scenario.html EWSN 2019 dependability competition].
<ul>
<li>Hardware platform: Tmote Sky.</li>
<li>Application scenario: In this benchmark, a fixed number of source nodes (at most eight) communicate to a single destination node over a multi-hop network. This benchmark hence focuses on multipoint-to-point traffic. In particular, each destination node collects sensor data of different length transmitted by the different source nodes and allows out-of-order delivery.</li>
<li>Performance metrics: The measured performance metrics are: (i) the reliability of transmissions, i.e., the number of messages correctly reported to each intended destination, (ii) the average end-to-end latency in communicating each message to its intended destination(s), and (iii) the average energy consumption on all nodes in the network. Note that, on each run, during the first 60 seconds no data is generated and the energy consumption is not measured, so to allow the firmware under test to bootstrap the network.</li>
</ul>
The results of this benchmark are available [https://iti-testbed.tugraz.at/leaderboard/benchmarksuite/1 here]. An example of the pre-defined config struct for binary patching for this benchmark suite is available [https://iti-testbed.tugraz.at/wiki/images/9/97/SkyDC_1.zip here].</li> 

<li>SkyDD_1 (Tmote Sky Data Dissemination v1). This benchmark resembles the second category of the [http://ewsn2019.thss.tsinghua.edu.cn/competition-scenario.html EWSN 2019 dependability competition].
<ul>
<li>Hardware platform: Tmote Sky.</li>
<li>Application scenario: In this benchmark, a fixed number of source nodes needs to disseminate actuation commands of different length to a specific set of destination nodes over a multi-hop network. This benchmark hence focuses on point-to-multipoint traffic. In particular, each source node is associated with a specific set of destinations (at most eight), which will be injected as an input parameter into the firmware under test. A destination can receive messages from only a single source node, cannot act as a source at the same time, and allows out-of-order delivery.</li>
<li>Performance metrics: The measured performance metrics are: (i) the reliability of transmissions, i.e., the number of messages correctly reported to each intended destination, (ii) the average end-to-end latency in communicating each message to its intended destination(s), and (iii) the average energy consumption on all nodes in the network. Note that, on each run, during the first 60 seconds no data is generated and the energy consumption is not measured, so to allow the firmware under test to bootstrap the network.
</ul>
The results of this benchmark are available [https://iti-testbed.tugraz.at/leaderboard/benchmarksuite/2 here]. An example of the pre-defined config struct for binary patching for this benchmark suite is available [https://iti-testbed.tugraz.at/wiki/images/9/97/SkyDC_1.zip here].</li> 

<li>nRFDC_1 (nRF52840 Timely Data Collection v1). This benchmark runs on the nRF52840 platform and resembles a data collection with bounded delays within a multi-hop network.
<ul>
<li>Hardware platform: nRF52840.</li>
<li>Application scenario: This benchmark focuses on multipoint-to-point traffic: up to 48 source nodes generate raw sensor values of different lengths, which should be communicated to the same destination. The latter may be located several hops away from a given source node, even when making use of the coded PHY layers available on the nRF52. The messages containing the raw sensor values should be forwarded to the intended destination as efficiently as possible within a maximum per-message delay bound ∂, i.e., the end-to-end delay of every message from its generation to its reception at the sink should be lower than ∂ (which is fixed and applies to all messages exchanged during a test run). If a message has been received with an end-to-end delay greater than ∂, it is considered to be lost.</li>
<li>Performance metrics: The measured performance metrics are: (i) the reliability of transmissions, i.e., the number of messages correctly reported to each intended destination, and (ii) the average energy consumption on all nodes in the network. Note that, on each run, during the first 60 seconds no data is generated and the energy consumption is not measured, so to allow the firmware under test to bootstrap the network.
</ul>
The results of this benchmark are available [https://iti-testbed.tugraz.at/leaderboard/benchmarksuite/3 here]. An example of the pre-defined config struct for binary patching for this benchmark suite is available [https://iti-testbed.tugraz.at/wiki/images/d/db/NRFDC_1.zip here].</li> 

<li>nRFDD_1 (nRF52840 Timely Data Dissemination v1). This benchmark runs on the nRF52840 platform and resembles a data dissemination with bounded delays within a multi-hop network.
<ul>
<li>Hardware platform: nRF52840.</li>
<li>Application scenario: In this benchmark, a fixed number of source nodes needs to disseminate actuation commands of different length to a specific set of destination nodes over a multi-hop network. This benchmark hence focuses on point-to-multipoint traffic. In particular, each source node is associated with a specific set of destinations, which will be injected as an input parameter into the firmware under test. A destination can receive messages from only a single source node, cannot act as a source at the same time, and allows out-of-order delivery. The messages should be disseminated to all intended destination as efficiently as possible within a maximum per-message delay bound ∂, i.e., the end-to-end delay of every message from its generation to its reception at the sink should be lower than ∂ (which is fixed and applies to all messages exchanged during a test run). If a message has been received with an end-to-end delay greater than ∂, it is considered to be lost.</li>
<li>Performance metrics: The measured performance metrics are: (i) the reliability of transmissions, i.e., the number of messages correctly reported to each intended destination, and (ii) the average energy consumption on all nodes in the network. Note that, on each run, during the first 60 seconds no data is generated and the energy consumption is not measured, so to allow the firmware under test to bootstrap the network.
</ul>
The results of this benchmark are available [https://iti-testbed.tugraz.at/leaderboard/benchmarksuite/4 here]. An example of the pre-defined config struct for binary patching for this benchmark suite is available [https://iti-testbed.tugraz.at/wiki/images/d/db/NRFDC_1.zip here].</li> 
</ol>

MediaWiki:Sidebar

2019-12-05T13:22:43Z

Carlo:

* Home
** mainpage|Main Page
** Vision & Roadmap|Vision & Roadmap

* Testbed Facility
** https://iti-testbed.tugraz.at/overview|Jobs overview
** Observer Nodes|Observer Nodes
** Supported Platforms|Supported Platforms
** Special Features|Special Features

* Benchmark suites
** Overview of Available Suites|Overview of Available Suites
** https://iti-testbed.tugraz.at/leaderboard/benchmarksuite/1|Suite SkyDC_1 - Results
** https://iti-testbed.tugraz.at/leaderboard/benchmarksuite/2|Suite SkyDD_1 - Results
** https://iti-testbed.tugraz.at/leaderboard/benchmarksuite/3|Suite nRFDC_1 - Results
** https://iti-testbed.tugraz.at/leaderboard/benchmarksuite/4|Suite nRFDD_1 - Results

* Usage
** Testbed Access|Testbed Access
** How to Use|How to Use

* About
** Contact|Contact
** Publications|Publications
** Disclaimer|Disclaimer
** Data Protection|Privacy Policy

* Extra
** recentchanges-url|recentchanges
** randompage-url|randompage
** helppage|help-mediawiki

* SEARCH
* TOOLBOX
* LANGUAGES

Overview of Available Suites

2019-11-28T15:47:19Z

Carlo:

File:Dcube tutorial.pdf

2019-11-28T15:44:18Z

Carlo: Carlo uploaded a new version of File:Dcube tutorial.pdf

Overview of Available Suites

2019-11-28T15:38:11Z

Carlo:

Overview of Available Suites

2019-11-28T15:37:49Z

Carlo:

D-Cube currently supports three benchmark suites. Each suite is specified by: (i) a given hardware platform, (ii) a given application scenario, and (iii) a set of performance metrics. We describe next the benchmark suites on a high level:
<ol>
<li>SkyDC_1 (Tmote Sky Data Collection v1). This benchmark resembles the first category of the [http://ewsn2019.thss.tsinghua.edu.cn/competition-scenario.html EWSN 2019 dependability competition].
<ul>
<li>Hardware platform: Tmote Sky.</li>
<li>Application scenario: In this benchmark, a fixed number of source nodes (at most eight) communicate to a single destination node over a multi-hop network. This benchmark hence focuses on multipoint-to-point traffic. In particular, each destination node collects sensor data of different length transmitted by the different source nodes and allows out-of-order delivery.</li>
<li>Performance metrics: The measured performance metrics are: (i) the reliability of transmissions, i.e., the number of messages correctly reported to each intended destination, (ii) the average end-to-end latency in communicating each message to its intended destination(s), and (iii) the average energy consumption on all nodes in the network. Note that, on each run, during the first 60 seconds no data is generated and the energy consumption is not measured, so to allow the firmware under test to bootstrap the network.</li>
</ul>
The results of this benchmark are available [https://iti-testbed.tugraz.at/leaderboard/benchmarksuite/1 here]. An example of the pre-defined configuration struct for binary patching for this benchmark suite is available here.</li> 

<li>SkyDD_1 (Tmote Sky Data Dissemination v1). This benchmark resembles the second category of the [http://ewsn2019.thss.tsinghua.edu.cn/competition-scenario.html EWSN 2019 dependability competition].
<ul>
<li>Hardware platform: Tmote Sky.</li>
<li>Application scenario: In this benchmark, a fixed number of source nodes needs to disseminate actuation commands of different length to a specific set of destination nodes over a multi-hop network. This benchmark hence focuses on point-to-multipoint traffic. In particular, each source node is associated with a specific set of destinations (at most eight), which will be injected as an input parameter into the firmware under test. A destination can receive messages from only a single source node, cannot act as a source at the same time, and allows out-of-order delivery.</li>
<li>Performance metrics: The measured performance metrics are: (i) the reliability of transmissions, i.e., the number of messages correctly reported to each intended destination, (ii) the average end-to-end latency in communicating each message to its intended destination(s), and (iii) the average energy consumption on all nodes in the network. Note that, on each run, during the first 60 seconds no data is generated and the energy consumption is not measured, so to allow the firmware under test to bootstrap the network.
</ul>
The results of this benchmark are available [https://iti-testbed.tugraz.at/leaderboard/benchmarksuite/2 here]. An example of the pre-defined configuration struct for binary patching for this benchmark suite is available here.</li> 

<li>nRFDC_1 (nRF52840 Timely Data Collection v1). This benchmark runs on the nRF52840 platform and resembles a data collection with bounded delays within a multi-hop network.
<ul>
<li>Hardware platform: nRF52840.</li>
<li>Application scenario: This benchmark focuses on multipoint-to-point traffic: up to 48 source nodes generate raw sensor values of different lengths, which should be communicated to the same destination. The latter may be located several hops away from a given source node, even when making use of the coded PHY layers available on the nRF52. The messages containing the raw sensor values should be forwarded to the intended destination as efficiently as possible within a maximum per-message delay bound ∂, i.e., the end-to-end delay of every message from its generation to its reception at the sink should be lower than ∂ (which is fixed and applies to all messages exchanged during a test run). If a message has been received with an end-to-end delay greater than ∂, it is considered to be lost.</li>
<li>Performance metrics: The measured performance metrics are: (i) the reliability of transmissions, i.e., the number of messages correctly reported to each intended destination, and (ii) the average energy consumption on all nodes in the network. Note that, on each run, during the first 60 seconds no data is generated and the energy consumption is not measured, so to allow the firmware under test to bootstrap the network.
</ul>
The results of this benchmark are available [https://iti-testbed.tugraz.at/leaderboard/benchmarksuite/3 here]. An example of the pre-defined configuration struct for binary patching for this benchmark suite is available here.</li> 
</ol>

Vision & Roadmap

2019-11-25T17:35:27Z

Carlo:

{|
|D-Cube is one of the outcomes of the [https://www.iotbench.ethz.ch/ IoTBench initiative] gathering academics and industrial practitioners from the low-power wireless networking community towards a better evaluation and comparison of the performance of low-power wireless communication protocols.
As an increasing number of IoT systems imposing strict dependability requirements on network performance is being developed and commercialized, the demand for dependable communication protocols delivering information in a reliable, efficient, and timely manner is raising. In response to this need, many low-power wireless protocols have been proposed by both industry and academia over the last decade. However, the lack of a standardized methodology to evaluate protocol performance often leads to a high divergence across experimental setups, which makes it hard, if not impossible, to compare results obtained by different authors. As a consequence, there is an [http://www.carloalbertoboano.com/documents/boano18benchmark.pdf increasing need to rigorously benchmark low-power wireless systems under the exact same settings].
|[[File:empty.png|left|275px]]
|[[File:Logo_iotbench.png|875px|right]]
|}

To address this issue, we have started a [https://iot.ieee.org/newsletter/march-2017/ewsn-dependability-competition-experiences-and-lessons-learned Dependability Competition Series] as a first attempt to rigorously benchmark the performance of low-power wireless systems under the same settings in harsh RF environments. To support the competition, we have created D-Cube, a benchmarking infrastructure that allows to accurately measure key dependability metrics such as end-to-end delay, reliability, and power consumption, as well as to graphically visualize their evolution in real-time. The dependability competition has been co-located with the International Conference on Embedded Wireless Systems and Networks in [http://ewsn2016.tugraz.at/cms/index.php%3Fid=49.html 2016], [http://ewsn2017.it.uu.se/dependability-competition1.html 2017], [https://ewsn2018.networks.imdea.org/competition-program.html 2018], and [http://ewsn2019.thss.tsinghua.edu.cn/call-for-competitors.html 2019].

Across the years, D-Cube’s hardware, software, and backend has been [http://www.carloalbertoboano.com/documents/schuss18benchmark.pdf upgraded and enriched] with features enabling a remote evaluation of protocol performance. These features include binary patching to decouple the traffic pattern and node identities from the firmware under test, an improved power and GPIO profiling unit, an automated computation of the performance metrics, as well as the ability to generate reproducible interference using off-the-shelf Wi-Fi devices ([[Special Features|more info]]).

 
In November 2019, we have decoupled the availability of D-Cube from the dependability competition, i.e., the testbed facility is available (in a best-effort fashion) to any team that is willing to benchmark the performance of its solutions also beyond the timespan of the EWSN contest. In other words, D-Cube becomes a low-power wireless benchmark open to the community as a common yardstick to compare the performance of various protocols, as well as a way to raise the bar in the quality of networking experiments. We believe that D-Cube can be a useful tool to provide researchers and engineers in both academia and industry with an objective view and quantitative understanding of the strengths and weaknesses among existing protocols. For more information about how to use D-Cube, please refer to [[Testbed Access|this page]].

File:Privacy policy D-Cube.pdf

2019-11-25T17:11:40Z

Carlo: Carlo uploaded a new version of File:Privacy policy D-Cube.pdf

Data Protection

2019-11-25T17:11:08Z

Carlo:

Privacy Policy for the D-Cube Benchmarking Facility (also available as [https://iti-testbed.tugraz.at/wiki/images/a/a1/Privacy_policy_D-Cube.pdf PDF])

 
1. General 
The protection of personal data is of high priority to us. All of our processes do comply with the applicable provisions for data protection such as the Austrian Data-Protection Act (DSG) and the General Data Protection Regulation (GDPR). In order to process the user administration for the access to the D-Cube Benchmarking Facility and its use, we need to process personal data of yours. Due to our legal obligation, we inform you hereby in this declaration about the purpose, type of personal data and legal basis of the processing.

 
2. Controller 
Controller of the data processing is the Graz Technical University, Rechbauerstraße 12, 8010 Graz, Austria (hereinafter as “TU Graz”).

 
3. Category of data subjects and processed data 
User: name, academic title, affiliation to organization, address, phone number, e-mail address, preferred username, signature.
Credentials: username, group, password.

 
4. Purposes of the processing 
User administration for the access to the D-Cube Benchmarking Facility and its use.

 
5. Legal basis 
The TU Graz processes your data exclusively on bases of a contract (Agreement "[https://iti-testbed.tugraz.at/wiki/images/1/19/Terms_and_conditions.pdf Terms and Conditions for the Use of the D-Cube Benchmarking Facility]") according to Art 6 (1) (b) GDPR.

 
6. Recipients 
The processing of your data only takes place inside of the TU Graz. There is no transmission to any third party. There may be security vulnerabilities when transferring data online or electronically, e.g., when communicating by e-mail. As a result, such data cannot be protected completely against being accessed by third parties.

 
7. Storage period 
We store your personal data as long as it is necessary to fulfil the contract (Agreement "[https://iti-testbed.tugraz.at/wiki/images/1/19/Terms_and_conditions.pdf Terms and Conditions for the Use of the D-Cube Benchmarking Facility]"). Furthermore, we store your data in order to fulfil legal retention provisions or for the duration of limitation periods regarding potential legal claims.

 
8. Rights of the data subject 
You have the right of access, rectification, erasure, restriction of processing, data portability and objection to the data we process. Moreover, this right shall not lead to any dissolution of contractual or statutory obligations.
If you have any further question concerning your data or your rights, please contact us via [http://mailto:datenschutz@tugraz.at datenschutz@tugraz.at]. All further information regarding data protection is available at http://datenschutz.tugraz.at.
You also have the right to lodge a complaint with the Austrian Data Protection Authority.

 
9. Data Protection Officer 
Data protection officer of the TU Graz is x-tention Informationstechnologie GmbH, Römerstraße 80A, 4600 Wels.

File:Privacy policy D-Cube.pdf

2019-11-25T17:06:49Z

Carlo: Carlo uploaded a new version of File:Privacy policy D-Cube.pdf

Data Protection

2019-11-25T17:03:03Z

Carlo:

Privacy Policy for the D-Cube Benchmarking Facility (also available as [https://iti-testbed.tugraz.at/wiki/images/a/a1/Privacy_policy_D-Cube.pdf PDF])

 
1. General 
The protection of personal data is of high priority to us. All of our processes do comply with the applicable provisions for data protection such as the Austrian Data-Protection Act (DSG) and the General Data Protection Regulation (GDPR). In order to process the user administration for the access to the D-Cube Benchmarking Facility and its use, we need to process personal data of yours. Due to our legal obligation, we inform you hereby in this declaration about the purpose, type of personal data and legal basis of the processing.

 
2. Controller 
Controller of the data processing is the Graz Technical University, Rechbauerstraße 12, 8010 Graz, Austria (hereinafter as “TU Graz”).

 
3. Category of data subjects and processed data 
User: Name, academic title, affiliation to organization, home/work address, phone number, e-mail address, preferred username.
Credentials: username, group, password.

 
4. Purposes of the processing 
User administration for the access to the D-Cube Benchmarking Facility and its use.

 
5. Legal basis 
The TU Graz processes your data exclusively on bases of a contract (Agreement "[https://iti-testbed.tugraz.at/wiki/images/1/19/Terms_and_conditions.pdf Terms and Conditions for the Use of the D-Cube Benchmarking Facility]") according to Art 6 (1) (b) GDPR.

 
6. Recipients 
The processing of your data only takes place inside of the TU Graz. There is no transmission to any third party. There may be security vulnerabilities when transferring data online or electronically, e.g., when communicating by e-mail. As a result, such data cannot be protected completely against being accessed by third parties.

 
7. Storage period 
We store your personal data as long as it is necessary to fulfil the contract (Agreement "[https://iti-testbed.tugraz.at/wiki/images/1/19/Terms_and_conditions.pdf Terms and Conditions for the Use of the D-Cube Benchmarking Facility]"). Furthermore, we store your data in order to fulfil legal retention provisions or for the duration of limitation periods regarding potential legal claims.

 
8. Rights of the data subject 
You have the right of access, rectification, erasure, restriction of processing, data portability and objection to the data we process. Moreover, this right shall not lead to any dissolution of contractual or statutory obligations.
If you have any further question concerning your data or your rights, please contact us via [http://mailto:datenschutz@tugraz.at datenschutz@tugraz.at]. All further information regarding data protection is available at http://datenschutz.tugraz.at.
You also have the right to lodge a complaint with the Austrian Data Protection Authority.

 
9. Data Protection Officer 
Data protection officer of the TU Graz is x-tention Informationstechnologie GmbH, Römerstraße 80A, 4600 Wels.

Data Protection

2019-11-25T17:02:47Z

Carlo:

Privacy Policy for the D-Cube Benchmarking Facility (also available as [https://iti-testbed.tugraz.at/wiki/images/a/a1/Privacy_policy_D-Cube.pdf PDF])

 
1. General 
The protection of personal data is of high priority to us. All of our processes do comply with the applicable provisions for data protection such as the Austrian Data-Protection Act (DSG) and the General Data Protection Regulation (GDPR). In order to process the user administration for the access to the D-Cube Benchmarking Facility and its use, we need to process personal data of yours. Due to our legal obligation, we inform you hereby in this declaration about the purpose, type of personal data and legal basis of the processing.

 
2. Controller 
Controller of the data processing is the Graz Technical University, Rechbauerstraße 12, 8010 Graz, Austria (hereinafter as “TU Graz”).

 
3. Category of data subjects and processed data 
User: Name, academic title, affiliation to organization, home/work address, phone number, e-mail address, preferred username.
Credentials: username, group, password.

 
4. Purposes of the processing 
User administration of the D-Cube Benchmarking Facility.

 
5. Legal basis 
The TU Graz processes your data exclusively on bases of a contract (Agreement "[https://iti-testbed.tugraz.at/wiki/images/1/19/Terms_and_conditions.pdf Terms and Conditions for the Use of the D-Cube Benchmarking Facility]") according to Art 6 (1) (b) GDPR.

 
6. Recipients 
The processing of your data only takes place inside of the TU Graz. There is no transmission to any third party. There may be security vulnerabilities when transferring data online or electronically, e.g., when communicating by e-mail. As a result, such data cannot be protected completely against being accessed by third parties.

 
7. Storage period 
We store your personal data as long as it is necessary to fulfil the contract (Agreement "[https://iti-testbed.tugraz.at/wiki/images/1/19/Terms_and_conditions.pdf Terms and Conditions for the Use of the D-Cube Benchmarking Facility]"). Furthermore, we store your data in order to fulfil legal retention provisions or for the duration of limitation periods regarding potential legal claims.

 
8. Rights of the data subject 
You have the right of access, rectification, erasure, restriction of processing, data portability and objection to the data we process. Moreover, this right shall not lead to any dissolution of contractual or statutory obligations.
If you have any further question concerning your data or your rights, please contact us via [http://mailto:datenschutz@tugraz.at datenschutz@tugraz.at]. All further information regarding data protection is available at http://datenschutz.tugraz.at.
You also have the right to lodge a complaint with the Austrian Data Protection Authority.

 
9. Data Protection Officer 
Data protection officer of the TU Graz is x-tention Informationstechnologie GmbH, Römerstraße 80A, 4600 Wels.

File:Privacy policy D-Cube.pdf

2019-11-25T16:31:52Z

Carlo: Carlo uploaded a new version of File:Privacy policy D-Cube.pdf

Data Protection

2019-11-25T16:30:49Z

Carlo:

Privacy Policy for the D-Cube Benchmarking Facility (also available as [https://iti-testbed.tugraz.at/wiki/images/a/a1/Privacy_policy_D-Cube.pdf PDF])

 
1. General 
The protection of personal data is of high priority to us. All of our processes do comply with the applicable provisions for data protection such as the Austrian Data-Protection Act (DSG) and the General Data Protection Regulation (GDPR). In order to process the user administration for the access to the D-Cube Benchmarking Facility and its use, we need to process personal data of yours. Due to our legal obligation, we inform you hereby in this declaration about the purpose, type of personal data and legal basis of the processing.

 
2. Controller 
Controller of the data processing is the Graz Technical University, Rechbauerstraße 12, 8010 Graz, Austria (hereinafter as “TU Graz”).

 
3. Category of data subjects and processed data 
User: Name, academic title, affiliation to organization, home/work address, phone number, e-mail address, preferred username.
Credentials: username, group, password.

 
4. Purposes of the processing 
User administration of D-Cube Benchmarking Facility.

 
5. Legal basis 
The TU Graz processes your data exclusively on bases of a contract (Agreement "[https://iti-testbed.tugraz.at/wiki/images/1/19/Terms_and_conditions.pdf Terms and Conditions for the Use of the D-Cube Benchmarking Facility]") according to Art 6 (1) (b) GDPR.

 
6. Recipients 
The processing of your data only takes place inside of the TU Graz. There is no transmission to any third party. There may be security vulnerabilities when transferring data online or electronically, e.g., when communicating by e-mail. As a result, such data cannot be protected completely against being accessed by third parties.

 
7. Storage period 
We store your personal data as long as it is necessary to fulfil the contract (Agreement "[https://iti-testbed.tugraz.at/wiki/images/1/19/Terms_and_conditions.pdf Terms and Conditions for the Use of the D-Cube Benchmarking Facility]"). Furthermore, we store your data in order to fulfil legal retention provisions or for the duration of limitation periods regarding potential legal claims.

 
8. Rights of the data subject 
You have the right of access, rectification, erasure, restriction of processing, data portability and objection to the data we process. Moreover, this right shall not lead to any dissolution of contractual or statutory obligations.
If you have any further question concerning your data or your rights, please contact us via [http://mailto:datenschutz@tugraz.at datenschutz@tugraz.at]. All further information regarding data protection is available at http://datenschutz.tugraz.at.
You also have the right to lodge a complaint with the Austrian Data Protection Authority.

 
9. Data Protection Officer 
Data protection officer of the TU Graz is x-tention Informationstechnologie GmbH, Römerstraße 80A, 4600 Wels.

Data Protection

2019-11-25T16:30:26Z

Carlo:

Privacy Policy for the D-Cube Benchmarking Facility (also available as [[PDF|link=https://iti-testbed.tugraz.at/wiki/images/a/a1/Privacy_policy_D-Cube.pdf]])

 
1. General 
The protection of personal data is of high priority to us. All of our processes do comply with the applicable provisions for data protection such as the Austrian Data-Protection Act (DSG) and the General Data Protection Regulation (GDPR). In order to process the user administration for the access to the D-Cube Benchmarking Facility and its use, we need to process personal data of yours. Due to our legal obligation, we inform you hereby in this declaration about the purpose, type of personal data and legal basis of the processing.

 
2. Controller 
Controller of the data processing is the Graz Technical University, Rechbauerstraße 12, 8010 Graz, Austria (hereinafter as “TU Graz”).

 
3. Category of data subjects and processed data 
User: Name, academic title, affiliation to organization, home/work address, phone number, e-mail address, preferred username.
Credentials: username, group, password.

 
4. Purposes of the processing 
User administration of D-Cube Benchmarking Facility.

 
5. Legal basis 
The TU Graz processes your data exclusively on bases of a contract (Agreement "[https://iti-testbed.tugraz.at/wiki/images/1/19/Terms_and_conditions.pdf Terms and Conditions for the Use of the D-Cube Benchmarking Facility]") according to Art 6 (1) (b) GDPR.

 
6. Recipients 
The processing of your data only takes place inside of the TU Graz. There is no transmission to any third party. There may be security vulnerabilities when transferring data online or electronically, e.g., when communicating by e-mail. As a result, such data cannot be protected completely against being accessed by third parties.

 
7. Storage period 
We store your personal data as long as it is necessary to fulfil the contract (Agreement "[https://iti-testbed.tugraz.at/wiki/images/1/19/Terms_and_conditions.pdf Terms and Conditions for the Use of the D-Cube Benchmarking Facility]"). Furthermore, we store your data in order to fulfil legal retention provisions or for the duration of limitation periods regarding potential legal claims.

 
8. Rights of the data subject 
You have the right of access, rectification, erasure, restriction of processing, data portability and objection to the data we process. Moreover, this right shall not lead to any dissolution of contractual or statutory obligations.
If you have any further question concerning your data or your rights, please contact us via [http://mailto:datenschutz@tugraz.at datenschutz@tugraz.at]. All further information regarding data protection is available at http://datenschutz.tugraz.at.
You also have the right to lodge a complaint with the Austrian Data Protection Authority.

 
9. Data Protection Officer 
Data protection officer of the TU Graz is x-tention Informationstechnologie GmbH, Römerstraße 80A, 4600 Wels.

File:Privacy policy D-Cube.pdf

2019-11-25T16:29:12Z

Carlo:

Data Protection

2019-11-25T16:27:14Z

Carlo:

Privacy Policy for the D-Cube Benchmarking Facility (also available as PDF)

 
1. General 
The protection of personal data is of high priority to us. All of our processes do comply with the applicable provisions for data protection such as the Austrian Data-Protection Act (DSG) and the General Data Protection Regulation (GDPR). In order to process the user administration for the access to the D-Cube Benchmarking Facility and its use, we need to process personal data of yours. Due to our legal obligation, we inform you hereby in this declaration about the purpose, type of personal data and legal basis of the processing.

 
2. Controller 
Controller of the data processing is the Graz Technical University, Rechbauerstraße 12, 8010 Graz, Austria (hereinafter as “TU Graz”).

 
3. Category of data subjects and processed data 
User: Name, academic title, affiliation to organization, home/work address, phone number, e-mail address, preferred username.
Credentials: username, group, password.

 
4. Purposes of the processing 
User administration of D-Cube Benchmarking Facility.

 
5. Legal basis 
The TU Graz processes your data exclusively on bases of a contract (Agreement "[https://iti-testbed.tugraz.at/wiki/images/1/19/Terms_and_conditions.pdf Terms and Conditions for the Use of the D-Cube Benchmarking Facility]") according to Art 6 (1) (b) GDPR.

 
6. Recipients 
The processing of your data only takes place inside of the TU Graz. There is no transmission to any third party. There may be security vulnerabilities when transferring data online or electronically, e.g., when communicating by e-mail. As a result, such data cannot be protected completely against being accessed by third parties.

 
7. Storage period 
We store your personal data as long as it is necessary to fulfil the contract (Agreement "Terms and Conditions for the Use of the D-Cube Benchmarking Facility"). Furthermore, we store your data in order to fulfil legal retention provisions or for the duration of limitation periods regarding potential legal claims.

 
8. Rights of the data subject 
You have the right of access, rectification, erasure, restriction of processing, data portability and objection to the data we process. Moreover, this right shall not lead to any dissolution of contractual or statutory obligations.
If you have any further question concerning your data or your rights, please contact us via [http://mailto:datenschutz@tugraz.at datenschutz@tugraz.at]. All further information regarding data protection is available at http://datenschutz.tugraz.at.
You also have the right to lodge a complaint with the Austrian Data Protection Authority.

 
9. Data Protection Officer 
Data protection officer of the TU Graz is x-tention Informationstechnologie GmbH, Römerstraße 80A, 4600 Wels.

Data Protection

2019-11-25T16:25:06Z

Carlo:

Privacy Policy for the D-Cube Benchmarking Facility (also available as PDF)

 
1. General 
The protection of personal data is of high priority to us. All of our processes do comply with the applicable provisions for data protection such as the Austrian Data-Protection Act (DSG) and the General Data Protection Regulation (GDPR). In order to process the user administration for the access to the D-Cube Benchmarking Facility and its use, we need to process personal data of yours. Due to our legal obligation, we inform you hereby in this declaration about the purpose, type of personal data and legal basis of the processing.

 
2. Controller 
Controller of the data processing is the Graz Technical University, Rechbauerstraße 12, 8010 Graz, Austria (hereinafter as “TU Graz”).

 
3. Category of data subjects and processed data 
User: Name, academic title, affiliation to organization, home/work address, phone number, e-mail address, preferred username.
Credentials: username, group, password.

 
4. Purposes of the processing 
User administration of D-Cube Benchmarking Facility.

 
5. Legal basis 
The TU Graz processes your data exclusively on bases of a contract (Agreement “Terms and Conditions for the Use of the D-Cube Benchmarking Facility”) according to Art 6 (1) (b) GDPR.

 
6. Recipients 
The processing of your data only takes place inside of the TU Graz. There is no transmission to any third party. There may be security vulnerabilities when transferring data online or electronically, e.g., when communicating by e-mail. As a result, such data cannot be protected completely against being accessed by third parties.

 
7. Storage period 
We store your personal data as long as it is necessary to fulfil the contract (Agreement “Terms and Conditions for the Use of the D-Cube Benchmarking Facility”). Furthermore, we store your data in order to fulfil legal retention provisions or for the duration of limitation periods regarding potential legal claims.

 
8. Rights of the data subject 
You have the right of access, rectification, erasure, restriction of processing, data portability and objection to the data we process. Moreover, this right shall not lead to any dissolution of contractual or statutory obligations.
If you have any further question concerning your data or your rights, please contact us via datenschutz@tugraz.at. All further information regarding data protection is available at http://datenschutz.tugraz.at.
You also have the right to lodge a complaint with the Austrian Data Protection Authority.

 
9. Data Protection Officer 
Data protection officer of the TU Graz is x-tention Informationstechnologie GmbH, Römerstraße 80A, 4600 Wels.

Data Protection

2019-11-25T16:24:37Z

Carlo:

Privacy Policy for the D-Cube Benchmarking Facility

 
1. General
The protection of personal data is of high priority to us. All of our processes do comply with the applicable provisions for data protection such as the Austrian Data-Protection Act (DSG) and the General Data Protection Regulation (GDPR). In order to process the user administration for the access to the D-Cube Benchmarking Facility and its use, we need to process personal data of yours. Due to our legal obligation, we inform you hereby in this declaration about the purpose, type of personal data and legal basis of the processing.

 
2. Controller
Controller of the data processing is the Graz Technical University, Rechbauerstraße 12, 8010 Graz, Austria (hereinafter as “TU Graz”).

 
3. Category of data subjects and processed data
User: Name, academic title, affiliation to organization, home/work address, phone number, e-mail address, preferred username.
Credentials: username, group, password.

 
4. Purposes of the processing
User administration of D-Cube Benchmarking Facility.

 
5. Legal basis
The TU Graz processes your data exclusively on bases of a contract (Agreement “Terms and Conditions for the Use of the D-Cube Benchmarking Facility”) according to Art 6 (1) (b) GDPR.

 
6. Recipients
The processing of your data only takes place inside of the TU Graz. There is no transmission to any third party. There may be security vulnerabilities when transferring data online or electronically, e.g., when communicating by e-mail. As a result, such data cannot be protected completely against being accessed by third parties.

 
7. Storage period
We store your personal data as long as it is necessary to fulfil the contract (Agreement “Terms and Conditions for the Use of the D-Cube Benchmarking Facility”). Furthermore, we store your data in order to fulfil legal retention provisions or for the duration of limitation periods regarding potential legal claims.

 
8. Rights of the data subject
You have the right of access, rectification, erasure, restriction of processing, data portability and objection to the data we process. Moreover, this right shall not lead to any dissolution of contractual or statutory obligations.
If you have any further question concerning your data or your rights, please contact us via datenschutz@tugraz.at. All further information regarding data protection is available at http://datenschutz.tugraz.at.
You also have the right to lodge a complaint with the Austrian Data Protection Authority.

 
9. Data Protection Officer
Data protection officer of the TU Graz is x-tention Informationstechnologie GmbH, Römerstraße 80A, 4600 Wels.

MediaWiki:Sidebar

2019-11-25T14:57:08Z

Carlo:

* Home
** mainpage|Main Page
** Vision & Roadmap|Vision & Roadmap

* Testbed Facility
** https://iti-testbed.tugraz.at/overview|Jobs overview
** Observer Nodes|Observer Nodes
** Supported Platforms|Supported Platforms
** Special Features|Special Features

* Benchmark suites
** Overview of Available Suites|Overview of Available Suites
** https://iti-testbed.tugraz.at/leaderboard/benchmarksuite/1|Suite SkyDC_1 - Results
** https://iti-testbed.tugraz.at/leaderboard/benchmarksuite/2|Suite SkyDD_1 - Results
** https://iti-testbed.tugraz.at/leaderboard/benchmarksuite/3|Suite nRFDC_1 - Results

* Usage
** Testbed Access|Testbed Access
** How to Use|How to Use

* About
** Contact|Contact
** Publications|Publications
** Disclaimer|Disclaimer
** Data Protection|Privacy Policy

* Extra
** recentchanges-url|recentchanges
** randompage-url|randompage
** helppage|help-mediawiki

* SEARCH
* TOOLBOX
* LANGUAGES

MediaWiki:Sidebar

2019-11-25T14:56:48Z

Carlo:

* Home
** mainpage|Main Page
** Vision & Roadmap|Vision & Roadmap

* Testbed Facility
** https://iti-testbed.tugraz.at/overview|Jobs overview
** Observer Nodes|Observer Nodes
** Supported Platforms|Supported Platforms
** Special Features|Special Features

* Benchmark suites
** Overview of Available Suites|Overview of Available Suites
** https://iti-testbed.tugraz.at/leaderboard/benchmarksuite/1|Suite SkyDC_1 - Results
** https://iti-testbed.tugraz.at/leaderboard/benchmarksuite/2|Suite SkyDD_1 - Results
** https://iti-testbed.tugraz.at/leaderboard/benchmarksuite/3|Suite nRFDC_1 - Results

* Usage
** Testbed Access|Testbed Access
** How to Use|How to Use

* About
** Contact|Contact
** Publications|Publications
** Disclaimer|Disclaimer
** Privacy Policy|Data Protection

* Extra
** recentchanges-url|recentchanges
** randompage-url|randompage
** helppage|help-mediawiki

* SEARCH
* TOOLBOX
* LANGUAGES

Main Page

2019-11-15T16:06:47Z

Carlo:

{{DISPLAYTITLE:{{FULLPAGENAME}}}}
== D-Cube: A Low-Power Wireless Networking Benchmark ==
 
{|
|D-Cube is a full-fledged benchmarking infrastructure that provides a consistent way to evaluate the performance of low-power wireless systems.
Hosted at [https://www.tugraz.at/en/institutes/iti/home/ Graz University of Technology], D-Cube supports the automated testing of the reliability, timeliness, and energy consumption of low-power wireless communication protocols in a variety of settings.
The primary audience of D-Cube are academic researchers and industry practitioners creating low-power wireless networking solutions that would like to quantitatively assess and compare their performance with that of other systems addressing the same class of applications.
|[[File:empty.png|left|65px]]
|[[File:Logo_dcube.png|395px|right]]
|}
Differently from other public low-power wireless testbeds such as [https://gitlab.ethz.ch/tec/public/flocklab/wikis/home FlockLab], [https://indriya.comp.nus.edu.sg/ Indriya2], [https://www.iot-lab.info/ FIT IoT-Lab], and [https://www.twist.tu-berlin.de/ TWIST], D-Cube is not meant for the general testing of low-power wireless protocols, but rather to evaluate protocol performance in pre-defined scenarios. To this end, D-Cube allows developers to test and optimize their solutions for one or more [[Overview of Available Suites|benchmark suites]], i.e., for specific application scenarios and hardware platforms.
Detailed performance results of individual test runs are only visible to the protocol developers. Nevertheless, D-Cube also allows developers to provide a binary file that is perpetually tested in a best-effort fashion on specific benchmark suites to accurately profile its performance. Such perpetual performance measurements are publicly available and serve as a reference for academics and companies alike about the performance of consolidated protocols.

 
D-Cube currently supports two [[Supported Platforms|popular hardware platforms]]: the TelosB (Tmote Sky) mote and the Nordic Semiconductors nRF52840. Hence, D-Cube enables the benchmarking of solutions based on IEEE 802.15.4 and Bluetooth Low Energy technology.
With about [[Observer Nodes|50 nodes]] for each available platform and the ability to [[Special Features|generate harsh RF conditions]], D-Cube is well-suited for testing the performance of mesh networking and multi-hop solutions in the presence of radio interference.

D-Cube is an effort supported by:
{|
|[[File:logo_tugraz.png|link=https://www.tugraz.at/en/institutes/iti/home/|right|150px|Graz University of Technology]]
|[[File:empty.png|left|125px]]
|[[File:logo_dependablethings.png|link=https://www.tugraz.at/projekte/dependable-things/home/|center|285px|Research center "Dependable Internet of Things"]]
|[[File:logo_pro2future.jpg|link=http://www.pro2future.at/start-en/|left|145px|Pro2Future|]]
|}

Vision & Roadmap

2019-11-15T15:25:08Z

Carlo:

{|
|D-Cube is one of the outcomes of the [https://www.iotbench.ethz.ch/ IoTBench initiative] gathering academics and industrial practitioners from the low-power wireless networking community towards a better evaluation and comparison of the performance of low-power wireless communication protocols.
As an increasing number of IoT systems imposing strict dependability requirements on network performance is being developed and commercialized, the demand for dependable communication protocols delivering information in a reliable, efficient, and timely manner is raising. In response to this need, many low-power wireless protocols have been proposed by both industry and academia over the last decade. However, the lack of a standardized methodology to evaluate protocol performance often leads to a high divergence across experimental setups, which makes it hard, if not impossible, to compare results obtained by different authors. As a consequence, there is an [http://www.carloalbertoboano.com/documents/boano18benchmark.pdf increasing need to rigorously benchmark low-power wireless systems under the exact same settings].
|[[File:empty.png|left|275px]]
|[[File:Logo_iotbench.png|875px|right]]
|}

To address this issue, we have started a [https://iot.ieee.org/newsletter/march-2017/ewsn-dependability-competition-experiences-and-lessons-learned Dependability Competition Series] as a first attempt to rigorously benchmark the performance of low-power wireless systems under the same settings in harsh RF environments. To support the competition, we have created D-Cube, a benchmarking infrastructure that allows to accurately measure key dependability metrics such as end-to-end delay, reliability, and power consumption, as well as to graphically visualize their evolution in real-time. The dependability competition has been co-located with the International Conference on Embedded Wireless Systems and Networks in [http://ewsn2016.tugraz.at/cms/index.php%3Fid=49.html 2016], [http://ewsn2017.it.uu.se/dependability-competition1.html 2017], [https://ewsn2018.networks.imdea.org/competition-program.html 2018], and [http://ewsn2019.thss.tsinghua.edu.cn/call-for-competitors.html 2019].

Across the years, D-Cube’s hardware, software, and backend has been [http://www.carloalbertoboano.com/documents/schuss18benchmark.pdf upgraded and enriched] with features enabling a remote evaluation of protocol performance. These features include binary patching to decouple the traffic pattern and node identities from the firmware under test, an improved power and GPIO profiling unit, an automated computation of the performance metrics, as well as the ability to generate reproducible interference using off-the-shelf Wi-Fi devices ([[Special Features|more info]]).

 
In 2020, we have decided to decouple the availability of D-Cube from the dependability competition, i.e., the testbed facility is available (in a best-effort fashion) to any team that is willing to benchmark the performance of its solutions also beyond the timespan of the EWSN contest. In other words, D-Cube becomes a low-power wireless benchmark open to the community as a common yardstick to compare the performance of various protocols, as well as a way to raise the bar in the quality of networking experiments. We believe that D-Cube can be a useful tool to provide researchers and engineers in both academia and industry with an objective view and quantitative understanding of the strengths and weaknesses among existing protocols. For more information about how to use D-Cube, please refer to [[Testbed Access|this page]].

File:Terms and conditions.pdf

2019-11-15T13:07:51Z

Carlo: Carlo uploaded a new version of File:Terms and conditions.pdf

File:Terms and conditions.pdf

2019-11-15T12:58:11Z

Carlo: Carlo uploaded a new version of File:Terms and conditions.pdf

Data Protection

2019-11-15T12:54:59Z

Carlo:

Personal data such as your names, affiliation, address, e-mail, username, and password are collected, processed, and used for the sole purpose of contract execution within the framework of your use of the D-Cube benchmarking infrastructure.
This data will not be shared with third parties without your express consent. There may be security vulnerabilities when transferring data online or electronically, e.g., when communicating by e-mail. As a result, such data cannot be protected completely against being accessed by third parties.

 
Please note that, as a data subject, pursuant to the EU General Data Protection Regulation (EU GDPR), you have the following rights in connection with the processing of your personal data: (i) information rights under Article 13 and Article 14 EU GDPR, (ii) right of access under Article 15 EU GDPR, (iii) right to rectification under Article 16 EU GDPR, (iv) right to erasure under Article 17 EU GDPR, (v) right to restriction of processing under Article 18 EU GDPR, (vi) right to data portability under 20 EU GDPR.
In accordance with Article 21 EU GDPR, you have the right to withdraw your consent to the collection, processing/storage, and use of your personal data at any time. Consent must be withdrawn by sending an e‑mail to [mailto:dcube@iti.tugraz.at dcube(at)iti(dot)tugraz(dot)at].

Data Protection

2019-11-15T12:54:36Z

Carlo:

Personal data such as your names, affiliation, address, e-mail, username, and password are collected, processed, and used for the sole purpose of contract execution within the framework of your use of the D-Cube benchmarking infrastructure.
This data will not be shared with third parties without your express consent. There may be security vulnerabilities when transferring data online or electronically, e.g., when communicating by e-mail. As a result, such data cannot be protected completely against being accessed by third parties.

 
Please note that, as a data subject, pursuant to the EU General Data Protection Regulation (EU GDPR), you have the following rights in connection with the processing of your personal data: (i) Information rights under Article 13 and Article 14 EU GDPR, (ii) Right of access under Article 15 EU GDPR, (iii) Right to rectification under Article 16 EU GDPR, (iv) Right to erasure under Article 17 EU GDPR, (v) Right to restriction of processing under Article 18 EU GDPR, (vi) Right to data portability under 20 EU GDPR.
In accordance with Article 21 EU GDPR, you have the right to withdraw your consent to the collection, processing/storage, and use of your personal data at any time. Consent must be withdrawn by sending an e‑mail to [mailto:dcube@iti.tugraz.at dcube(at)iti(dot)tugraz(dot)at].

Data Protection

2019-11-15T12:54:00Z

Carlo:

Personal data such as your names, affiliation, address, e-mail, username, and password are collected, processed, and used for the sole purpose of contract execution within the framework of your use of the D-Cube benchmarking infrastructure.
This data will not be shared with third parties without your express consent. There may be security vulnerabilities when transferring data online or electronically, e.g., when communicating by e-mail. As a result, such data cannot be protected completely against being accessed by third parties.

 
Please note that, as a data subject, pursuant to the EU General Data Protection Regulation (EU GDPR), you have the following rights in connection with the processing of your personal data:
- Information rights under Article 13 and Article 14 EU GDPR
- Right of access under Article 15 EU GDPR
- Right to rectification under Article 16 EU GDPR
- Right to erasure under Article 17 EU GDPR
- Right to restriction of processing under Article 18 EU GDPR
- Right to data portability under 20 EU GDPR
In accordance with Article 21 EU GDPR, you have the right to withdraw your consent to the collection, processing/storage, and use of your personal data at any time. Consent must be withdrawn by sending an e‑mail to [mailto:dcube@iti.tugraz.at dcube(at)iti(dot)tugraz(dot)at].

Testbed Access

2019-11-15T09:41:37Z

Carlo:

Access to D-Cube is subject to an agreement between the users of the facility and the Institute of Technical Informatics at Graz University of Technology about the nature of the experiments to be carried out and what is considered to be an acceptable use of the benchmarking facility.

 
{|
|To request a D-Cube account, download the terms and conditions for the use of the benchmarking facility by clicking on the PDF image on the right. If you accept all terms and conditions, enter your details, sign the document, and send a scanned copy via e-mail to [mailto:cboano@iti.tugraz.at dcube(at)iti(dot)tugraz(dot)at]. 
As soon as your registration is processed and accepted, you will receive a confirmation e-mail with your credentials. You can then log in at [https://iti-testbed.tugraz.at/auth/login this page] and start using D-Cube.
|[[File:empty.png|left|100px]]
|[[File:Pdf_logo.png|left|175px|Download terms and conditions|link=https://iti-testbed.tugraz.at/wiki/images/1/19/Terms_and_conditions.pdf]]
|}

Please note that D-Cube is a best-effort service: the availability and functionality of the benchmarking facility is not guaranteed ([[Disclaimer|more info]]).

Disclaimer

2019-11-15T09:30:03Z

Carlo:

D-Cube is a benchmarking facility offered to its users as a best-effort service without any guarantee on its functionality. While the D-Cube team will try its best to ensure its correct operation, the availability and correct functionality of the benchmarking facility is not guaranteed. Access to D-Cube is subject to an agreement between the users of the facility and the Institute of Technical Informatics at Graz University of Technology about the nature of the experiments to be carried out and what is considered to be an acceptable use of the benchmarking facility ([[Testbed Access|more info]]).

 
All the data on this Website is published in good faith and for general information purpose only. D-Cube does not make any warranty about the completeness, reliability, correctness, and accuracy of this information. Any action that is taken upon the information or the results found on this Website (https://iti-testbed.tugraz.at) is strictly at your own risk. TU Graz and the D-Cube team will not be liable for any losses and/or damages in connection with the use of D-Cube and its Website. By using the D-Cube website and benchmarking facility, you consent to this disclaimer as well as to the data protection agreement available [[Data Protection|here]], and agree to both their terms.

 
Note that this Website contains hyperlinks to external sites: while we strive to provide only quality links to useful and ethical websites, we have no control over the content and nature of these sites. These links to other websites do not imply a recommendation for all the content found on these sites. Site owners and content may change without notice and may occur before we have the opportunity to remove unsuitable links.

Disclaimer

2019-11-15T09:29:44Z

Carlo:

D-Cube is a benchmarking facility offered to its users as a best-effort service without any guarantee on its functionality. While the D-Cube team will try its best to ensure its correct operation, the availability and correct functionality of the benchmarking facility is not guaranteed. Access to D-Cube is subject to an agreement between the users of the facility and the Institute of Technical Informatics at Graz University of Technology about the nature of the experiments to be carried out and what is considered to be an acceptable use of the benchmarking facility ([[Testbed Access|more info]]).

 
All the data on this Website is published in good faith and for general information purpose only. D-Cube does not make any warranty about the completeness, reliability, correctness, and accuracy of this information. Any action that is taken upon the information or the results found on this Website (https://iti-testbed.tugraz.at) is strictly at your own risk. TU Graz and the D-Cube team will not be liable for any losses and/or damages in connection with the use of D-Cube and its Website. By using the D-Cube website and benchmarking facility, you consent to this disclaimer as well as to the data protection agreement available [[Data Protection|here]], and agree to their terms.

 
Note that this Website contains hyperlinks to external sites: while we strive to provide only quality links to useful and ethical websites, we have no control over the content and nature of these sites. These links to other websites do not imply a recommendation for all the content found on these sites. Site owners and content may change without notice and may occur before we have the opportunity to remove unsuitable links.

Disclaimer

2019-11-15T09:29:22Z

Carlo:

D-Cube is a benchmarking facility offered to its users as a best-effort service without any guarantee on its functionality. While the D-Cube team will try its best to ensure its correct operation, the availability and correct functionality of the benchmarking facility is not guaranteed. Access to D-Cube is subject to an agreement between the users of the facility and the Institute of Technical Informatics at Graz University of Technology about the nature of the experiments to be carried out and what is considered to be an acceptable use of the benchmarking facility ([[Testbed Access|more info]]).

 
All the data on this Website is published in good faith and for general information purpose only. D-Cube does not make any warranty about the completeness, reliability, correctness, and accuracy of this information. Any action that is taken upon the information or the results found on this Website (https://iti-testbed.tugraz.at) is strictly at your own risk. TU Graz and the D-Cube team will not be liable for any losses and/or damages in connection with the use of D-Cube and its Website. By using the D-Cube website and benchmarking facility, you consent to this disclaimer to the data protection agreement available [[Data Protection|here]] and agree to their terms.

 
Note that this Website contains hyperlinks to external sites: while we strive to provide only quality links to useful and ethical websites, we have no control over the content and nature of these sites. These links to other websites do not imply a recommendation for all the content found on these sites. Site owners and content may change without notice and may occur before we have the opportunity to remove unsuitable links.