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The Partitioned Multiprocessor Scheduling of Sporadic Task Systems
Miami, Florida December 05-December 08
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/RTSS.2005.4026th IEEE International Real-Time Sys ...
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Sanjoy Baruah, University of North Carolina at Chapel Hill
Nathan Fisher, University of North Carolina at Chapel Hill
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.
Citation:
Sanjoy Baruah, Nathan Fisher, "The Partitioned Multiprocessor Scheduling of Sporadic Task Systems," rtss, pp.321-329, 26th IEEE International Real-Time Systems Symposium (RTSS'05), 2005
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