NDLI: Scheduling of stream-based real-time applications for heterogeneous systems

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Scheduling of stream-based real-time applications for heterogeneous systems

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Scheduling of stream-based real-time applications for heterogeneous systems

Content Provider	ACM Digital Library
Author	Giacalone, Jean Pierre Kuhn, Bob Padua, David Garzaran, Maria J. Zhou, Xing Virlet, Bruno
Abstract	Designers of mobile devices face the challenge of providing the user with more processing power while increasing battery life. Heterogeneous systems offer some opportunities to solve this challenge. In an heterogeneous system, multiple classes of processors with dynamic voltage and frequency scaling functionality are embedded in the mobile device. With such a system it is possible to maximize performance while minimizing power consumption if tasks are mapped to the class of processors where they execute the most efficiently. In this paper, we study the scheduling of tasks in a real-time context on a heterogeneous system-on-chip that has dynamic voltage and frequency scaling functionality. We develop a heuristic scheduling algorithm which minimizes the energy while still meeting the deadline. We introduce the concept of cross-platform task heterogeneity and model sets of tasks to conduct extensive experiments. The experimental results show that our heuristic has a much higher success rate than existing state of the art heuristics and derives a solution whose energy requirements are close to those of the optimal solution.
Starting Page	1
Ending Page	10
Page Count	10
File Format	PDF
ISBN	9781450305556
DOI	10.1145/1967677.1967679
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2011-04-11
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Heterogeneous systems Dynamic voltage and frequency scaling Scheduling
Content Type	Text
Resource Type	Article

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