Power efficient scheduling for hard real-time systems on a multiprocessor platform

Authors:
Peter J. Nistler;Jean-Luc Gaudiot
Affiliations:
University of California, Irvine, CA;University of California, Irvine, CA
Venue:
NPC'10 Proceedings of the 2010 IFIP international conference on Network and parallel computing
Year:
2010

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Abstract

An online, real-time scheduler is proposed to minimize the power consumption of a task set during execution on a multiprocessor platform. The scheduler is capable of handling the spectrum of task types (periodic, sporadic, and aperiodic) as well as supporting mutually exclusive, shared resources. The solution presented is a user adjustable scheduler which ranges from producing an optimal schedule which requires the minimum power during the worst case execution scenario to producing a suboptimal schedule which aggressively minimizes power during the typical execution scenario.