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A Configuration Agent for Real-Time Networks
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-1959-7145
2017 (English)Licentiate thesis, comprehensive summary (Other academic)
Place, publisher, year, edition, pages
Västerås: Mälardalen University , 2017.
Series
Mälardalen University Press Licentiate Theses, ISSN 1651-9256 ; 265
National Category
Embedded Systems
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:mdh:diva-37117ISBN: 978-91-7485-354-4 OAI: oai:DiVA.org:mdh-37117DiVA: diva2:1151020
Presentation
2017-11-17, Kappa, Mälardalens högskola, Västerås, 13:15 (English)
Opponent
Supervisors
Available from: 2017-10-23 Created: 2017-10-20 Last updated: 2017-11-01Bibliographically approved
List of papers
1. Self-Configuration of IEEE 802.1 TSN Networks
Open this publication in new window or tab >>Self-Configuration of IEEE 802.1 TSN Networks
Show others...
2017 (English)Conference paper, Published paper (Refereed)
National Category
Embedded Systems
Identifiers
urn:nbn:se:mdh:diva-37100 (URN)
Conference
22nd IEEE International Conference on Emerging Technologies And Factory Automation (ETFA)
Available from: 2017-10-19 Created: 2017-10-19 Last updated: 2017-11-10Bibliographically approved
2. Learning the Parameters of Periodic Traffic based on Network Measurements
Open this publication in new window or tab >>Learning the Parameters of Periodic Traffic based on Network Measurements
2015 (English)In: Measurements & Networking M&N 2015, 2015, 100-115 p.Conference paper, Published paper (Refereed)
Abstract [en]

The configuration of real-time networks is one of the most challenging demands of the Real-Time Internet-of-Things trend, where the network has to be deterministic and yet flexible enough to adapt to changes through its life-cycle. To achieve this we have outlined an approach that learns the necessary configuration parameters from network measurements, that way providing a continuous configuration service for the network. First, the network is monitored to obtain traffic measurements. Then traffic parameters are derived from those measurements. Finally, a new time-triggered schedule is produced with which the network will be reconfigured. In this paper we propose an analysis based on measurements to obtain the specific traffic parameters and we evaluate it through network simulations. The results show that the configuration parameters can be learned from the measurements with enough accuracy and that those measurements can be easily obtained through network monitoring.

National Category
Computer Systems
Identifiers
urn:nbn:se:mdh:diva-29670 (URN)10.1109/IWMN.2015.7322981 (DOI)000380404300018 ()2-s2.0-84966340207 (Scopus ID)978-1-4799-1860-7 (ISBN)
Conference
Measurements & Networking M&N 2015, 12-13 Oct 2015, Coimbra, Portugal
Projects
RetNet - The European Industrial Doctorate Programme on Future Real-Time Networks
Available from: 2015-12-02 Created: 2015-11-26 Last updated: 2017-10-26Bibliographically approved
3. A Configuration Agent based on the Time Triggered Paradigm for Real-Time Networks
Open this publication in new window or tab >>A Configuration Agent based on the Time Triggered Paradigm for Real-Time Networks
2015 (English)In: IEEE International Workshop on Factory Communication Systems - Proceedings, WFCS, 2015, Vol. Article number 7160584Conference paper, Published paper (Refereed)
Abstract [en]

Distributed cyber-physical systems are growing in size and functionality and deterministic communication is an important requirement for those systems. The existing solutions based on the time-triggered paradigm pose certain limitations in regards to the configuration. Usually configuration is seen as a one-time event during the installation of the network. Future realtime networks need to be able to adapt more easily to changes in the network. Thus, the configuration becomes an ongoing service, e.g., as for network maintenance and re-configuration to add and remove new, respectively old, equipment. We postulate that configuration will emerge to a continued service that accompanies a real-time network throughout its different life-cycle phases. In this context of evolving and dynamic networks, we introduce the concept of a configuration agent for real-time networks and demonstrate the concept by a realization based on the time triggered paradigm.

National Category
Communication Systems
Identifiers
urn:nbn:se:mdh:diva-28168 (URN)10.1109/WFCS.2015.7160584 (DOI)000380618100040 ()2-s2.0-84942287873 (Scopus ID)9781479982448 (ISBN)
Conference
11th IEEE World Conference on Factory Communication Systems (WFCS), May 27-29, 2015, Palma de Mallorca, Spain
Available from: 2015-06-08 Created: 2015-06-08 Last updated: 2017-10-26Bibliographically approved
4. Synchronization quality of IEEE 802.1AS in large-scale industrial automation networks.
Open this publication in new window or tab >>Synchronization quality of IEEE 802.1AS in large-scale industrial automation networks.
2017 (English)In: Proceedings of the IEEE Real-Time and Embedded Technology and Applications Symposium, RTAS, Institute of Electrical and Electronics Engineers Inc. , 2017, 273-282 p., 7939046Conference paper, Published paper (Refereed)
Abstract [en]

Industry 4.0 and Industrial Internet of Things projects work towards adoption of standard IT technologies for real-time control networks in industrial automation. For this the IEEE 802.1 Time-Sensitive Networking (TSN) Task Group has developed and continues to develop a set of standards. One of these standards is the IEEE 802.1AS clock synchronization protocol. IEEE 802.1AS can be used to enable time-triggered communication as well as to coordinate distributed actions in industrial networks. In this paper we study the synchronization quality of IEEE 802.1AS and we are interested in whether the clocks can be synchronized with sufficiently low error such that the protocol can be used for demanding industrial automation applications. In particular, we study the protocol behavior in large-scale networks while considering critical implementation details. We report analytical worst-case results as well as probabilistic results based on simulations, that show that implementation details such as the PHY jitter and the clock granularity have a big impact on the time synchronization precision. 

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc., 2017
National Category
Computer Systems
Identifiers
urn:nbn:se:mdh:diva-36142 (URN)10.1109/RTAS.2017.10 (DOI)000411195100031 ()2-s2.0-85021821793 (Scopus ID)9781509052691 (ISBN)
Conference
23rd IEEE Real-Time and Embedded Technology and Applications Symposium, RTAS 2017, 18 April 2017 through 20 April 2017
Available from: 2017-07-27 Created: 2017-07-27 Last updated: 2017-10-27Bibliographically approved

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