SpringerBriefs in Computer Science

Energy-aware Scheduling on Multiprocessor Platforms

Authors: Li, Dawei, Wu, Jie

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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.

Table of contents (6 chapters)

Buy this book

eBook $34.99
price for USA (gross)
  • ISBN 978-1-4614-5224-9
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $49.95
price for USA
  • ISBN 978-1-4614-5223-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Energy-aware Scheduling on Multiprocessor Platforms
Authors
Series Title
SpringerBriefs in Computer Science
Copyright
2013
Publisher
Springer-Verlag New York
Copyright Holder
The Author(s)
eBook ISBN
978-1-4614-5224-9
DOI
10.1007/978-1-4614-5224-9
Softcover ISBN
978-1-4614-5223-2
Series ISSN
2191-5768
Edition Number
1
Number of Pages
VII, 59
Number of Illustrations and Tables
28 b/w illustrations
Topics