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Temporal Partitioning on Multicore Platform

Risat Mahmud Pathan (Institutionen för data- och informationsteknik, Datorteknik (Chalmers)) ; Feysal Hadji Hashi (Institutionen för data- och informationsteknik (Chalmers)) ; Per Stenström (Institutionen för data- och informationsteknik, Datorteknik (Chalmers)) ; Lars-Göran Green ; Torbjörn Hult ; Patrik Sandin
European Space Agency, (Special Publication) ESA SP: The Data Systems In Aerospace (DASIA), The International Space System Engineering Conference, Warsaw, Poland, June 3-5, 2014 (0379-6566). Vol. SP 725 (2014),
[Konferensbidrag, refereegranskat]

This paper addresses the problem of ensuring temporal partitioning according to the ARINC-653 standard for integrating multiple applications on the same multicore platform. To employ temporal partitioning, we propose the design and analysis of a hierarchical scheduling framework (HSF) for multicore platform. In HSF, each application has a server task, which is mapped to one of the physical cores of the multicore platform. The HSF framework is based on scheduling at two-levels: (i) a system-level scheduler for each core schedules the server tasks that are mapped to that core, and (ii) a task-level scheduler for each application schedules the tasks of the application. This paper presents the design and analysis of this two-level HSF that can be used to ensure temporal partitioning and meeting all the deadlines of each application tasks. The effectiveness of our technique is demonstrated using real-world space applications provided by RUAG Space Sweden AB.



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Denna post skapades 2014-04-15. Senast ändrad 2016-07-19.
CPL Pubid: 196748