Evolutionary based solutions for green computing /
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Corporate Authors: | |
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Group Author: | |
Published: |
Springer,
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Publisher Address: | Berlin ; New York : |
Publication Dates: | 2013. |
Literature type: | eBook |
Language: | English |
Series: |
Studies in computational intelligence,
432 |
Subjects: | |
Online Access: |
http://dx.doi.org/10.1007/978-3-642-30659-4 |
Carrier Form: | 1 online resource. |
Bibliography: | Includes bibliographical references. |
ISBN: |
9783642306594 (electronic bk.) 3642306594 (electronic bk.) |
Index Number: | QA76 |
CLC: | TP301.6 |
Contents: |
Evolutionary Green Computing Solutions for Distributed Cyber Physical Systems / Energy-Aware Provisioning of HPC Services through Virtualised Web Services / Macro Level Models of Power Consumption for Servers in Distributed Systems / Energy and Security Awareness in Evolutionary-Driven Grid Scheduling / Power Consumption Constrained Task Scheduling Using Enhanced Genetic Algorithms / Thermal Management in Many Core Systems / Sustainable and Reliable On-Chip Wireless Communication Infrastructure for Massive Multi-core Systems / Exploiting Multi-Objective Evolutionary Algorithms for Designing Energy-Efficient Solutions to Data Compression and Node Localization in Wireless Sensor Networks / |