Energy-Efficient Synthesis of Periodic Task Systems upon Identical Multiprocessor Platforms

Authors:
James H. Anderson;Sanjoy K. Baruah
Affiliations:
-;-
Venue:
ICDCS '04 Proceedings of the 24th International Conference on Distributed Computing Systems (ICDCS'04)
Year:
2004

Citing 0
Cited 13

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Abstract

Multiprocessor implementations of real-time systems tend to be more energy-efficient than uniprocessor implementations. However several factors, including the non-existence of optimal multiprocessor scheduling algorithms, combine to prevent all the computing capacity of a multiprocessor platform from being guaranteed a variable for executing the real-time workload. In this paper, this tradeoff 驴 that while increasing the number of processors results in lower energy consumption for a given computing capacity, the fraction of the capacity of a multiprocessor platform that is guaranteed available for executing real-time work decreases as the number of processors increases 驴 is explored in detail. Algorithms are presented for synthesizing multiprocessor implementations of hard-real-time systems comprised of independent periodic tasks in such a manner that the energy consumed by the synthesized system is minimized.