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The partitioned multiprocessor scheduling of deadline-constrained sporadic task systems

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2 Author(s)
Baruah, S. ; Dept. of Comput. Sci., North Carolina Univ., Chapel Hill, NC, USA ; Fisher, N.

A polynomial-time algorithm is presented for partitioning a collection of sporadic tasks, each constrained to have its relative-deadline parameter be no larger than its period parameter, among the processors of an identical multiprocessor platform. Since the partitioning problem is easily seen to be 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 (3-(1/m)) times as fast.

Published in:

Computers, IEEE Transactions on  (Volume:55 ,  Issue: 7 )

Date of Publication:

July 2006

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