Engineering simulated evolution for integrated power optimization in data centers

Cloud computing has evolved as the next-generation platform for hosting applications ranging from engineering to sciences, and from social networking to media content delivery. The numerous data centers, employed to provide cloud services, consume large amounts of electrical power, both for their fu...

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Bibliographic Details
Published in:	Soft computing (Berlin, Germany) Vol. 22; no. 9; pp. 3033 - 3048
Main Authors:	Sait, Sadiq M., Raza, Ali
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer Berlin Heidelberg 01.05.2018 Springer Nature B.V
Subjects:	Algorithms Artificial Intelligence Cloud computing Cold Computational Intelligence Computer centers Computing time Control Cooling Data centers Electricity distribution Engineering Environmental management Evolution Heat Infrastructure Iterative methods Mathematical Logic and Foundations Mechatronics Methodologies and Application Nodes Optimization Power consumption Power efficiency Power management Robotics Simulated evolution Software Thermal management Virtual environments Cloud computing Resource provisioning Power management Non-deterministic algorithms Combinatorial optimization NP hard problems Virtual machine assignment Simulated evolution
ISSN:	1432-7643, 1433-7479
Online Access:	Get full text
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