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The Partitioned Scheduling of Sporadic Tasks According to Static-Priorities
Dresden, Germany July 05-July 07
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ECRTS.2006.3018th Euromicro Conference on Real-Tim ...
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Nathan Fisher, University of North Carolina at Chapel Hill
Sanjoy Baruah, University of North Carolina at Chapel Hill
Theodore P. Baker, Florida State University
A polynomial-time algorithm is presented for partitioning a collection of sporadic tasks among the processors of an identical multiprocessor platform with static-priority scheduling on each individual processor. Since the partitioning problem is easily seen to be NP-hard in the strong sense, this algorithm is not optimal. A quantitative characterization of its worst-case performance is provided in terms of sufficient conditions and resource augmentation approximation bounds. The partitioning algorithm is also evaluated over randomly generated task systems.
Citation:
Nathan Fisher, Sanjoy Baruah, Theodore P. Baker, "The Partitioned Scheduling of Sporadic Tasks According to Static-Priorities," ecrts, pp.118-127, 18th Euromicro Conference on Real-Time Systems (ECRTS'06), 2006
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