CPU-MEMORY AWARE VM CONSOLIDATION FOR CLOUD DATA CENTERS

被引:3
|
作者
Nithiya, B. [1 ]
Eswari, R. [1 ]
机构
[1] Natl Inst Technol, Dept Comp Applicat, Tiruchirappalli, Tamil Nadu, India
来源
SCALABLE COMPUTING-PRACTICE AND EXPERIENCE | 2020年 / 21卷 / 02期
关键词
cloud computing; VM consolidation; VM Placement; Energy Consumption; Energy Efficiency; SLA Violation Rate;
D O I
10.12694/scpe.v21i2.1670
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
The unbalanced usage of resources in cloud data centers cause an enormous amount of power consumption. The Virtual Machine (VM) consolidation shuts the underutilized hosts and makes the overloaded hosts as normally loaded hosts by selecting appropriate VMs from the hosts and migrates them to other hosts in such a way to reduce the energy consumption and to improve physical resource utilization. Efficient method is needed for VM selection and destination hosts selection (VM placement). In this paper, a CPU-Memory aware VM placement algorithm is proposed for selecting suitable destination host for migration. The VMs are selected using Fuzzy Soft Set (FSS) method VM selection algorithm. The proposed placement algorithm considers both CPU, Memory, and combination of CPU-Memory utilization of VMs on the source host. The proposed method is experimentally compared with several existing selection and placement algorithms and the results show that the proposed consolidation method performs better than existing algorithms in terms of energy efficiency, energy consumption, SLA violation rate, and number of VM migrations.
引用
收藏
页码:159 / 172
页数:14
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