Novel energy and SLA efficient resource management heuristics for consolidation of virtual machines in cloud data centers

被引：71

作者：

Arianyan, Ehsan ^{[1
]}

Taheri, Hassan ^{[1
]}

Sharifian, Saeed ^{[1
]}

机构：

[1] Amirkabir Univ Technol, Dept Elect & Elect Engn, Tehran, Iran

来源：

COMPUTERS & ELECTRICAL ENGINEERING | 2015年 / 47卷

关键词：

Cloud computing; Consolidation; Data center; Energy consumption; Resource allocation; DYNAMIC CONSOLIDATION; COMPUTING ENVIRONMENTS; PERFORMANCE; ALGORITHMS; POWER;

D O I：

10.1016/j.compeleceng.2015.05.006

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Proliferation of IT services provided by cloud service delivery model as well as diverse range of cloud users have led to the establishment of huge energy hungry data centers all around the world. Therefore, cloud providers are confronted with great pressures to reduce their energy consumption as well as their CO2 emissions. In this direction, consolidation is proposed as an effective method of energy saving in cloud data centers. This paper proposes a new holistic cloud resource management procedure as well as novel heuristics based on multi-criteria decision making method for both determination of underloaded hosts and placement of the migrating VMs. The results of simulations using Cloudsim simulator validates the applicability of the proposed policies which shows up to 46%, 99%, and 95% reductions in energy consumption, SLA violation, and number of VM migrations, respectively in comparison with state of the arts. (C) 2015 Elsevier Ltd. All rights reserved.

引用

页码：222 / 240

页数：19

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