Energy-aware Scheduling on Multiprocessor Platforms (Paperback, 2013 ed.)

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 multi processor platforms and the task types considered. Under this classification, other sub-issues are also included, such as, slack reclamation, fixed/dynamic priority sched uling, partition-based/global scheduling, and application-specific power consumption, etc.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	SpringerBriefs in Computer Science
Release date:	October 2012
First published:	2013
Authors:	Dawei Li • Jie Wu
Dimensions:	235 x 155 x 3mm (L x W x T)
Format:	Paperback
Pages:	59
Edition:	2013 ed.
ISBN-13:	978-1-4614-5223-2
Categories:	Books > Professional & Technical > Energy technology & engineering > General Books > Business & Economics > Business & management > Management & management techniques > Operational research Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Circuits & components Books > Computing & IT > Computer hardware & operating systems > Computer architecture & logic design > General
LSN:	1-4614-5223-6
Barcode:	9781461452232

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