Mapping Virtual Machines onto Physical Machines in Cloud Computing: A Survey

被引:82
|
作者
Pietri, Ilia [1 ]
Sakellariou, Rizos [1 ]
机构
[1] Univ Manchester, Sch Comp Sci, Manchester M13 9PL, Lancs, England
基金
英国工程与自然科学研究理事会;
关键词
VM scheduling; VM placement; VM configuration; cloud computing; REINFORCEMENT LEARNING APPROACH; RESOURCE-ALLOCATION; CONSOLIDATION; PLACEMENT; PERFORMANCE; MIGRATION; MANAGEMENT; ALGORITHM; SCHEDULER; MODEL;
D O I
10.1145/2983575
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Cloud computing enables users to provision resources on demand and execute applications in a way that meets their requirements by choosing virtual resources that fit their application resource needs. Then, it becomes the task of cloud resource providers to accommodate these virtual resources onto physical resources. This problem is a fundamental challenge in cloud computing as resource providers need to map virtual resources onto physical resources in a way that takes into account the providers' optimization objectives. This article surveys the relevant body of literature that deals with this mapping problem and how it can be addressed in different scenarios and through different objectives and optimization techniques. The evaluation aspects of different solutions are also considered. The article aims at both identifying and classifying research done in the area adopting a categorization that can enhance understanding of the problem.
引用
收藏
页数:30
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