Reasoning Based Virtual Machine Mapping Toward Physical Machine

被引:0
|
作者
Aslam, Adeel [1 ]
Chen, Hanhua [1 ]
Xiao, Jiang [1 ]
Wu, Song [1 ]
Jin, Hai [1 ]
机构
[1] Huazhong Univ Sci & Technol, Natl Engn Res Ctr Big Data Technol & Syst, Sch Comp Sci & Technol, Serv Comp Technol,Cluster & Grid Comp Lab, Wuhan 430074, Peoples R China
来源
HUMAN CENTERED COMPUTING | 2019年 / 11956卷
关键词
Case Base Reasoning; Physical machine; Resource consumption; Virtual machine placement; CLOUD DATA CENTERS; PLACEMENT; OPTIMIZATION; ALGORITHM; SYSTEM;
D O I
10.1007/978-3-030-37429-7_1
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Cloud computing is an arising paradigm to run and hosts a number of applications and services. These computing services are accommodated by a set of virtual machines. These virtual machines are an abstraction of real servers or physical machines. A physical machine can hosts a number of virtual machines, depending on its capacity. Virtual machine placement has a direct effect on the quality of the services for both end-users and cloud service providers. In this study, we address the problem of virtual machine placement and migration for minimization of resources and power consumption. We formulate this problem as a multi-objective optimization and propose a resource-aware reasoning based scheme with state-of-the-art solutions. The simulations results with real-world traces show that the integrated schemes use a fewer number of physical servers to accommodate more virtual machines.
引用
收藏
页码:1 / 12
页数:12
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