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- Includes supplementary material: sn.pub/extras
Part of the book series: SpringerBriefs in Computer Science (BRIEFSCOMPUTER)
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Table of contents (6 chapters)
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Front Matter
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Back Matter
About this book
Multiprocessor platforms play important roles in modern computing systems, and appear in various applications, ranging from energy-limited hand-held devices to large data centers. As the performance requirements increase, energy-consumption in these systems also increases significantly. Dynamic Voltage and Frequency Scaling (DVFS), which allows processors to dynamically adjust the supply voltage and the clock frequency to operate on different power/energy levels, is considered an effective way to achieve the goal of energy-saving. This book surveys existing works that have been on energy-aware task scheduling on DVFS multiprocessor platforms.
Energy-aware scheduling problems are intrinsically optimization problems, the formulations of which greatly depend on the platform and task models under consideration. Thus, Energy-aware Scheduling on Multiprocessor Platforms covers current research on this topic and classifies existing works according to two key standards, namely, homogeneity/heterogeneity of multiprocessor platforms and the task types considered. Under this classification, other sub-issues are also included, such as, slack reclamation, fixed/dynamic priority scheduling, partition-based/global scheduling, and application-specific power consumption, etc.Authors and Affiliations
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, Department of Computer, Temple University, Philadelphia, USA
Dawei Li
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Temple University, Philadelphia, USA
Jie Wu
Bibliographic Information
Book Title: Energy-aware Scheduling on Multiprocessor Platforms
Authors: Dawei Li, Jie Wu
Series Title: SpringerBriefs in Computer Science
DOI: https://doi.org/10.1007/978-1-4614-5224-9
Publisher: Springer New York, NY
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Author(s) 2013
Softcover ISBN: 978-1-4614-5223-2Published: 20 October 2012
eBook ISBN: 978-1-4614-5224-9Published: 19 October 2012
Series ISSN: 2191-5768
Series E-ISSN: 2191-5776
Edition Number: 1
Number of Pages: VII, 59
Number of Illustrations: 28 b/w illustrations
Topics: Energy Systems, Circuits and Systems, Processor Architectures, Operations Research/Decision Theory