Paper Info
Title
A Dynamic Placement Policy Of Virtual Machine Based On Moga In Cloud Environment
Abstract
Currently loud data centers exist problems of load imbalance and high power consumption. This paper studies the virtual machine placement policy in cloud environment by applying live migration techniques, and proposes a target host selection algorithm MOGA-THSA based on MOGA. As a heuristic algorithm, through designing excellent genetic operators and fitness functions, it optimizes the load balance and power consumption of the data center with smaller SLA violation rate. The algorithm is implemented on simulation platform CloudSim, and experiments show that it can improve the load balance of cloud data center and decrease total power consumption effectively, thus having a certain guiding significance for researching the virtual machine placement policy.
Year
DOI
Venue
2017
10.1109/ISPA/IUCC.2017.00135
2017 15TH IEEE INTERNATIONAL SYMPOSIUM ON PARALLEL AND DISTRIBUTED PROCESSING WITH APPLICATIONS AND 2017 16TH IEEE INTERNATIONAL CONFERENCE ON UBIQUITOUS COMPUTING AND COMMUNICATIONS (ISPA/IUCC 2017)
Keywords
Field
DocType
Cloud Datacenter, Placement Policy, Load Balance, Power Consumption, MOGA
Virtual machine,Computer science,Live migration,Load balancing (computing),Selection algorithm,Human–computer interaction,Data center,Genetic algorithm,CloudSim,Cloud computing,Distributed computing
Conference
ISSN
Citations 
PageRank 
2158-9178
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Mohan Zhang113.73
Honglin Ren200.34
Chunhe Xia36318.30