Experimental Analysis of the Tardiness of Parallel Tasks in Soft Real-time Systems

Abstract : A parallel application is defined as the application that can be executed on multiple processors simultaneously. In software, parallelism is a useful programming technique to take advantage of the hard-ware advancement in processors manufacturing nowadays. In real-time systems, where tasks have to respect certain timing constraints during execution, a single task has a shorter response time when executed in parallel than the sequential execution. However, the same cannot be trivially applied to a set of parallel tasks (taskset) sharing the same processing platform, and there is a negative intuition regarding parallelism in real-time systems. In this work, we are interested in analyzing this statement and providing an experimental analysis regarding the effect of parallelism soft on real-time systems. By performing an extensive simulation of the scheduling process of parallel taskset on multiprocessor systems using a known scheduling algorithm called the global Earliest-Deadline First (gEDF), we aim at providing an indication about the effects (positive or negative) of parallelism in real-time scheduling.
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Cirne Walfredo; Desai Narayan. Springer, May 2014, PHOENIX (Arizona), United States. 18th Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP) In Conjunction with IPDPS 2014, to appear, pp.17, 2014, Proceedings of the 2014 Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP'14)
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Manar Qamhieh, Serge Midonnet. Experimental Analysis of the Tardiness of Parallel Tasks in Soft Real-time Systems. Cirne Walfredo; Desai Narayan. Springer, May 2014, PHOENIX (Arizona), United States. 18th Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP) In Conjunction with IPDPS 2014, to appear, pp.17, 2014, Proceedings of the 2014 Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP'14). 〈hal-01090622〉

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