Integration of Communication Networks and Control Systems Using a Slotted Transmission Classification Model

Linsenmayer, Steffen; Carabelli, Ben W.; Dürr, Frank; Falk, Jonathan; Allgöwer, Frank; Rothermel, Kurt

doi:10.1109/ccnc.2019.8651811

Cited by 6 publications

(2 citation statements)

References 14 publications

(21 reference statements)

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“…In this paper, we use a traffic model where each application generates a complemental flow consisting of both time-triggered and nontime-triggered messages. NCS have been shown to be a type of applications which are able to exploit complemental flows, e.g., in [14] which focuses on the control theoretic aspects, or in [15] which targets a specific network technology (CAN). In this paper, we have a network-centric perspective and show how to compute routes and transmission schedules for applications with complemental flows in converged networks.…”

Section: Related Workmentioning

confidence: 99%

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Optimal routing and scheduling of complemental flows in converged networks

Falk

Dürr

Linsenmayer

et al. 2019

Proceedings of the 27th International Conference on Real-Time Networks and Systems

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Converged networks support applications with completely different (real-time) requirements. The communication paradigms offered in converged networks are predominantly treated as separate entities from the perspective of traffic engineering, e.g., time-triggered traffic for closed-loop control systems, shaped traffic for multimediastreaming applications, and best-effort traffic for non-time-critical IT applications. However, there are scenarios where applications benefit from considering time-triggered messages and non-timetriggered messages as complemental components of a single traffic flow. These applications have the property that time-triggered transmissions guarantee basic functionality (e.g., stability of a control system), and additional non-time-triggered transmissions improve the application's performance. We present how to model these so-called complemental traffic flows for this type of application using a traffic metric for the description of the non-time-triggered traffic part. Furthermore, we show that complemental flows are suitable for traffic engineering by presenting two different approaches for the problem of optimized joint routing and scheduling in converged networks with mixed integer linear programming. In our evaluations, we use an exemplary min-max objective for the joint routing and scheduling problem which yields an average reduction of the peak value of the traffic metric by 20-30% over constraint-based approaches. CCS CONCEPTS • Networks → Network algorithms; • Computer systems organization → Real-time systems.

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Section: Related Workmentioning

confidence: 99%

“…NCS are a prime example of a class of applications that would benefit from such complemental flows as we have already outlined in [14]. Here, the deterministic part is used to guarantee the stability of the control system by enforcing latency bounds for a base rate of periodically transmitted sensor values or actuator commands.…”

Section: Introductionmentioning

confidence: 99%