Distributed consolidation of virtual machines for power efficiency in heterogeneous cloud data centers

被引：19

作者：

Khani, Hadi ^{[1
]}

Latifi, Amin ^{[1
]}

Yazdani, Nasser ^{[1
]}

Mohammadi, Siamak ^{[2
]}

机构：

[1] Univ Tehran, Sch Elect & Comp Engn, Router Lab, Tehran, Iran

[2] Univ Tehran, Sch Elect & Comp Engn, Dependable Syst Design Lab, Tehran, Iran

来源：

COMPUTERS & ELECTRICAL ENGINEERING | 2015年 / 47卷

关键词：

Green computing; Virtualization; Game theory; Cloud computing; Data center; DATACENTERS; SIMULATION; PLACEMENT; ENERGY;

D O I：

10.1016/j.compeleceng.2015.08.001

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Data centers use dynamic virtual machine consolidation to reduce power consumption. Existing consolidation mechanisms are not efficient in cloud data centers, which have heterogeneous hardware infrastructure, huge scale, and highly variable non-stationary workloads. We use game theory to develop a novel distributed mechanism for both heterogeneous and homogeneous data centers of cloud computing. Our mathematical analysis shows that our mechanism converges after a finite number of migrations. In addition, we show that our worst case power consumption is only 23% more than the theoretical minimum. In order to validate our claim, we preform simulation in CloudSim with real workload traces from Google data centers. (C) 2015 Elsevier Ltd. All rights reserved.

引用

页码：173 / 185

页数：13

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