Temporal Partitioning on Multicore Platform
Paper in proceeding, 2014

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.


Risat Pathan

University of Gothenburg

Feysal Hadji Hashi

Per Stenström

Chalmers, Computer Science and Engineering (Chalmers), Computer Engineering (Chalmers)

Lars-Göran Green

Ruag Space AB

Torbjörn Hult

Ruag Space AB

Patrik Sandin

Ruag Space AB

European Space Agency, (Special Publication) ESA SP

03796566 (ISSN)

Vol. SP 725
978-929221289-6 (ISBN)

Areas of Advance

Information and Communication Technology

Subject Categories

Embedded Systems

Computer Systems



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8/8/2023 6