Synopsis
Evolutionary Green Computing Solutions for Distributed Cyber Physical Systems.-Energy-Aware provisioning of HPC services with virtualised web services.-Macro Level Models of Power Consumption for Servers in Distributed System.-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 Muliti-core Systems.-Exploiting Multi-Objective Evolutionary Algorithms for Designing Energy-efficient Solutions to Data Compression and Node .Localization in Wireless Sensor Networks.
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Review
From the reviews:
“The editors and authors of this collection of papers intend to show the relevance of evolutionary computation in a set of established energy-saving applications ... . As a result, the relevance of the volume is ... to researchers in the same field, and to other researchers in green computing who are looking for approaches to solve optimization problems. The volume comprises eight chapters devoted to selected high-performance computing and network subsystem energy-saving efforts.” (L.-F. Pau, ACM Computing Reviews, January, 2013)
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