Dynamic Placement of Virtual Machines with Both Deterministic and Stochastic Demands for Green Cloud Computing
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-07
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Cloud computing has come to be a significant commercial infrastructure offering utility-oriented IT services to users worldwide.
However, data centers hosting cloud applications consume huge amounts of energy, leading to high operational cost and greenhouse gas emission.
Therefore, green cloud computing solutions are needed not only to achieve high level service performance but also to minimize energy consumption.
This paper studies the dynamic placement of virtual machines (VMs) with deterministic and stochastic demands.
In order to ensure a quick response to VM requests and improve the energy efficiency, a two-phase optimization strategy has been proposed, in which VMs are deployed in runtime and consolidated into servers periodically.
Based on an improved multidimensional space partition model, a modified energy efficient algorithm with balanced resource utilization (MEAGLE) and a live migration algorithm based on the basic set (LMABBS) are, respectively, developed for each phase.
Experimental results have shown that under different VMs’ stochastic demand variations, MEAGLE guarantees the availability of stochastic resources with a defined probability and reduces the number of required servers by 2.49% to 20.40% compared with the benchmark algorithms.
Also, the difference between the LMABBS solution and Gurobi solution is fairly small, but LMABBS significantly excels in computational efficiency.
American Psychological Association (APA)
Yue, Wenying& Chen, Qiushuang. 2014. Dynamic Placement of Virtual Machines with Both Deterministic and Stochastic Demands for Green Cloud Computing. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-485165
Modern Language Association (MLA)
Yue, Wenying& Chen, Qiushuang. Dynamic Placement of Virtual Machines with Both Deterministic and Stochastic Demands for Green Cloud Computing. Mathematical Problems in Engineering No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-485165
American Medical Association (AMA)
Yue, Wenying& Chen, Qiushuang. Dynamic Placement of Virtual Machines with Both Deterministic and Stochastic Demands for Green Cloud Computing. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-485165
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-485165