Service-Oriented Virtual Machine Placement Optimization for Green Data Center

NCUIR > College of Electrical Engineering & Computer Science > Department of Computer Science and information Engineering > journal & Dissertation > Item 987654321/107245

Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/107245

Title:	Service-Oriented Virtual Machine Placement Optimization for Green Data Center
Authors:	周立德;Tseng, Fan-Hsun;Chen, Chi-Yuan;Chou, Li-Der;Chao, Han-Chieh;Niu, Jian-Wei
Contributors:	資訊電機學院資訊工程學系
Keywords:	Algorithms;Analysis;Cloud computing;Communication;Communications Engineering;Computer centers;Computer Communication Networks;Computer engineering;Computer science;Construction costs;Data centers;Electrical Engineering;Engineering;Forests;Infrastructure;Integer programming;IT in Business;Linear programming;Load;Networks;Optimization;Placement;Researchers;Servers;Service oriented architecture;Studies;Traffic congestion;Trees;Virtual environments;Virtual reality;Wireless networks
Date:	2015-10-07
Issue Date:	2026-04-23 14:02:16 (UTC+8)
Publisher:	Springer Netherlands;New York: Springer US
Abstract:	摘要： The first service-oriented virtual machine (VM) placement for green data center is designed in this work. Integer Linear Programming (ILP) is the problem design basis. The Tree algorithm is proposed to place VM role instances at the lowest communication cost, economizing the construction cost with fewer physical servers. Another Forest algorithm is also proposed for balancing the computation load between the physical machines. Both of the proposed algorithms are formulated on the graph theoretic technique and evaluated and analyzed using the Best Fit algorithm in the simulations. Although the total power consumption and average utility of both proposed algorithms are slightly impaired, the unnecessary outbound communication cost is significantly eliminated and decreased, especially in the immense number of services. The results show that the proposed Tree and Forest algorithms provide lower communication cost than the Best Fit algorithm, and achieve green communications for large scale environment such as cloud or green data center. 其他題名： Mobile Netw Appl 出版者： New York: Springer US 出版日期： 2015-10-01 出處： Mobile networks and applications, 2015-10, Vol.20 (5), p.556-566 資源來源： ABI/INFORM Collection 版權： Springer Science+Business Media New York 2015 識別號： ISSN: 1383-469X 識別號： EISSN: 1572-8153 識別號： DOI: 10.1007/s11036-015-0600-9
Appears in Collections:	[Department of Computer Science and information Engineering] journal & Dissertation

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