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