Multiobjective Virtual Machine Placement in Cloud Environment

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原文链接

NETL
IEEE

外文摘要：In this paper， the virtual machine placement problem is formulated as a multi-objective optimization problem。 The objectives are maximizing profit， maximizing load balancing and minimizing recourse wastage。 Results of Genetic algorithms， Non-dominated Sorting Genetic Algorithm and Non-dominated Sorting Genetic Algorithm-II are compared with common solution representation， penalty and benefit values。 All the three algorithms reported good solutions whereas GA and NSGA are subjected to premature convergence and duplicate solutions。 NSGA-II gives good and diversified range of solutions。

外文关键词：

Multiobjective Optimization ProblemNondominated Sorting Genetic AlgorithmResource allocation

作者：

Adamuthe, Amol C.、Pandharpatte, Rupali M.、Thampi, Gopakumaran T.

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会议名称：

International Conference on Cloud & Ubiquitous Computing & Emerging Technologies

会议地点：

Pune(IN)

会议母体文献：

2013 International Conference on Cloud & Ubiquitous Computing & Emerging Technologies

页码：

8-13

出版时间：

2013

DOI：

10.1109/CUBE.2013.12