Code-Inherent Traffic Shaping for Hard Real-Time Systems

Author:

Oehlert Dominic1ORCID,Saidi Selma1ORCID,Falk Heiko1ORCID

Affiliation:

1. Hamburg University of Technology, Hamburg, Germany

Abstract

Modern hard real-time systems evolved from isolated single-core architectures to complex multi-core architectures which are often connected in a distributed manner. With the increasing influence of interconnections in hard real-time systems, the access behavior to shared resources of single tasks or cores becomes a crucial factor for the system’s overall worst-case timing properties. Traffic shaping is a powerful technique to decrease contention in a network and deliver guarantees on network streams. In this paper we present a novel approach to automatically integrate a traffic shaping behavior into the code of a program for different traffic shaping profiles while being as least invasive as possible. As this approach is solely depending on modifying programs on a code-level, it does not rely on any additional hardware or operating system-based functions. We show how different traffic shaping profiles can be implemented into programs using a greedy heuristic and an evolutionary algorithm, as well as their influences on the modified programs. It is demonstrated that the presented approaches can be used to decrease worst-case execution times in multi-core systems and lower buffer requirements in distributed systems.

Funder

Horizon 2020

Publisher

Association for Computing Machinery (ACM)

Subject

Hardware and Architecture,Software

Reference42 articles.

1. The Motor Industry Software Reliability Association. 2013. MISRA C: 2012 Guidelines for the use of the C language in critical systems. The Motor Industry Software Reliability Association. 2013. MISRA C: 2012 Guidelines for the use of the C language in critical systems.

2. C. G. Lee P. Chow and M. G. Stoodley. [n.d.]. UTDSP Benchmark Suite. Retrieved 2019-04-05 from http://www.eecg.toronto.edu/ corinna/DSP/infrastructure/UTDSP.html. C. G. Lee P. Chow and M. G. Stoodley. [n.d.]. UTDSP Benchmark Suite. Retrieved 2019-04-05 from http://www.eecg.toronto.edu/ corinna/DSP/infrastructure/UTDSP.html.

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1. A Survey of Traffic Shaping Technology in Internet of Things;IEEE Access;2023

2. The Predictable Execution Model in Practice;ACM Transactions on Embedded Computing Systems;2021-07

3. Multi-Criteria Function Inlining for Hard Real-Time Systems;Proceedings of the 28th International Conference on Real-Time Networks and Systems;2020-06-09

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