26th IEEE International Real-Time Systems Symposium (RTSS'05) (2005)

Miami, Florida

Dec. 5, 2005 to Dec. 8, 2005

ISSN: 1052-8725

ISBN: 0-7695-2490-7

pp: 321-329

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/RTSS.2005.40

Sanjoy Baruah , University of North Carolina at Chapel Hill

Nathan Fisher , University of North Carolina at Chapel Hill

ABSTRACT

A polynomial-time algorithm is presented for partitioning a collection of sporadic tasks among the processors of an identical multiprocessor platform. Since the partitioning problem is NP-hard in the strong sense, this algorithm is unlikely to be optimal. A quantitative characterization of its worst-case performance is provided in terms of resource augmentation: it is shown that any set of sporadic tasks that can be partitioned among the processors of an m-processor identical multiprocessor platform will be partitioned by this algorithm on an m-processor platform in which each processor is (4 - 2/m) times as fast.

INDEX TERMS

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CITATION

N. Fisher and S. Baruah, "The Partitioned Multiprocessor Scheduling of Sporadic Task Systems,"

*26th IEEE International Real-Time Systems Symposium (RTSS'05)(RTSS)*, Miami, Florida, 2005, pp. 321-329.

doi:10.1109/RTSS.2005.40

CITATIONS