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Power-Aware Resource Reconfiguration Using Genetic Algorithm in Cloud Computing
Joint Authors
Deng, Li
Li, Yang
Yao, Li
Jin, Yu
Gu, Jinguang
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-12-29
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Telecommunications Engineering
Abstract EN
Cloud computing enables scalable computation based on virtualization technology.
However, current resource reallocation solution seldom considers the stability of virtual machine (VM) placement pattern.
Varied workloads of applications would lead to frequent resource reconfiguration requirements due to repeated appearance of hot nodes.
In this paper, several algorithms for VM placement (multiobjective genetic algorithm (MOGA), power-aware multiobjective genetic algorithm (pMOGA), and enhanced power-aware multiobjective genetic algorithm (EpMOGA)) are presented to improve stability of VM placement pattern with less migration overhead.
The energy consumption is also considered.
A type-matching controller is designed to improve evolution process.
Nondominated sorting genetic algorithm II (NSGAII) is used to select new generations during evolution process.
Our simulation results demonstrate that these algorithms all provide resource reallocation solutions with long stabilization time of nodes.
pMOGA and EpMOGA also better balance the relationship of stabilization and energy efficiency by adding number of active nodes as one of optimal objectives.
Type-matching controller makes EpMOGA superior to pMOGA.
American Psychological Association (APA)
Deng, Li& Li, Yang& Yao, Li& Jin, Yu& Gu, Jinguang. 2016. Power-Aware Resource Reconfiguration Using Genetic Algorithm in Cloud Computing. Mobile Information Systems،Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1111502
Modern Language Association (MLA)
Deng, Li…[et al.]. Power-Aware Resource Reconfiguration Using Genetic Algorithm in Cloud Computing. Mobile Information Systems No. 2016 (2016), pp.1-9.
https://search.emarefa.net/detail/BIM-1111502
American Medical Association (AMA)
Deng, Li& Li, Yang& Yao, Li& Jin, Yu& Gu, Jinguang. Power-Aware Resource Reconfiguration Using Genetic Algorithm in Cloud Computing. Mobile Information Systems. 2016. Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1111502
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1111502