Robustness analysis of multiprocessor schedules

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Abstract

Tasks executing on general purpose multiprocessor platforms exhibit variations in their execution times. As such, there is a need to explicitly consider robustness, i.e., tolerance to these fluctuations. This work aims to quantify the robustness of schedules of directed acyclic graphs (DAGs) on multiprocessors by defining probabilistic robustness metrics and to present a new approach to perform robustness analysis to obtain these metrics. Stochastic execution times of tasks are used to compute completion time distributions which are then used to compute the metrics. To overcome the difficulties involved with the max operation on distributions, a new curve fitting approach is presented using which we can derive a distribution from a combination of analytical and limited simulation based results. The approach has been validated on schedules of time-critical applications in ASML wafer scanners.
Original languageEnglish
Title of host publicationProceedings 2014 International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS XIV), July 14-17, 2014, Samos, Greece
EditorsC. Galuzzi, A. Veidenbaum
Place of PublicationSamos, Greece
PublisherInstitute of Electrical and Electronics Engineers
Pages9-17
ISBN (Print)978-1-4799-3770-7
DOIs
Publication statusPublished - 2014
Event14th International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS 2014) - Samos, Greece
Duration: 14 Jul 201417 Jul 2014
Conference number: 14

Conference

Conference14th International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS 2014)
Abbreviated titleSAMOS 2014
CountryGreece
CitySamos
Period14/07/1417/07/14

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