Reliability and performance optimization of pipelined real-time systems

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• 作者：Anne Benoit^a ; ^b ; ^{Anne.Benoit@ens-lyon.fr}Author Vitae ; Fanny Dufoss&eacute ; ^a ; ^b ; ^{Fanny.Dufosse@inria.fr}Author Vitae ; Alain Girault^c ; ^{Alain.Girault@inria.fr}Author Vitae ; Yves Robert^a ; ^b ; ^d ; ^{Yves.Robert@ens-lyon.fr}Author Vitae
• 关键词：Pipelined real-time systems ; Interval mapping ; Multi-criteria (reliability ; latency ; period) optimization ; Complexity results
• 刊名：Journal of Parallel and Distributed Computing
• 出版年：2013
• 出版时间：June, 2013
• 年：2013
• 卷：73
• 期：6
• 页码：851-865
• 全文大小：915 K

文摘

We consider pipelined real-time systems that consist of a chain of tasks executing on a distributed platform. The processing of the tasks is pipelined: each processor executes only one interval of consecutive tasks. We are interested in minimizing both the input-output latency and the period of application mapping. For dependability reasons, we are also interested in maximizing the reliability of the system. We therefore assign several processors to each interval of tasks, so as to increase the reliability of the system. Both processors and communication links are unreliable and subject to transient failures. We assume that the arrival of the failures follows a constant parameter Poisson law, and that the failures are statistically independent events. We study several variants of this multiprocessor mapping problem, with several hypotheses on the target platform (homogeneous/heterogeneous speeds and/or failure rates). We provide NP-hardness complexity results, and optimal mapping algorithms for polynomial problem instances. Efficient heuristics are presented to solve the general case, and experimental results are provided.