Article in Proceedings INPROC-2016-31

BibliographyNayak, Naresh Ganesh; Dürr, Frank; Rothermel, Kurt: Time-sensitive Software-defined Network (TSSDN) for Real-time Applications.
In: Proceedings of the 24th International Conference on Real-Time Networks and Systems, RTNS 2016.
University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology.
pp. 1-10, german.
Brest, France: ACM, October 19, 2016.
Article in Proceedings (Conference Paper).
CR-SchemaC.2.1 (Network Architecture and Design)
C.2.3 (Network Operations)
Abstract

Cyber-physical systems (CPS), like the ones used in industrial automation systems, are highly time-sensitive applications demanding zero packet losses along with stringent real-time guarantees like bounded latency and jitter from the underlying network for communication. With the proliferation of IEEE 802.3 and IP networks, there is a desire to use these networks instead of the currently used fieldbuses for time-sensitive applications. However, these networking technologies, which originally were designed to provide best effort communication services, lack mechanisms for providing real-time guarantees. In this paper, we present Time-Sensitive Software-Defined Networks (TSSDN), which provide real-time guarantees for the time-triggered traffic in time-sensitive systems while also transporting non-time-sensitive traffic. TSSDN provides these guarantees by bounding the non-deterministic queuing delays for time-sensitive traffic. To this end, it exploits the logical centralization paradigm of software-defined networking to compute a transmission schedule for time-sensitive traffic initiated by the end systems based on a global view. In particular, we present various Integer Linear Program (ILP) formulations that solve the combined problem of routing and scheduling time-triggered traffic. Moreover, we show that end systems can comply with a given schedule with high precision using user-space packet processing frameworks. Our evaluations show that TSSDN has deterministic end-to-end delays (<= 14 us on our benchmark topology) with low and bounded jitter (<= 7 us).

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Copyright© ACM, 2016. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in proceedings of 24th International Conference on Real-Time Networks and Systems, Brest, France, 19-21 October 2016. http://dx.doi.org/10.1145/2997465.2997487
Department(s)University of Stuttgart, Institute of Parallel and Distributed Systems, Distributed Systems
Project(s)dSDN
Entry dateSeptember 23, 2016
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