FP-ABC: Fast and Parallel ABC Based Energy-Efficiency Live VM Allocation Policy in Data Centers

Virtual machine (VM) technology is one of the energy-efficiency approaches to save energy with acceptable quality of service (QoS). In our previous studies, Artificial Bee Colony (ABC) based VM allocation policy can make a good tradeoff between performance and energy consumption. However, there are...

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Bibliographic Details
Published in:Scientific programming 2016-01, Vol.2016 (2016), p.1-9
Main Authors: Li, Keqin, Parmar, Milan, Feng, Yunzhao, Jiang, Jianhua
Format: Article
Language:English
Subjects:
Computer simulation
Data centers
Energy conservation
Energy consumption
Energy policy
Power efficiency
Simulated annealing
Solution space
State of the art
Swarm intelligence
Virtual environments
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Summary:Virtual machine (VM) technology is one of the energy-efficiency approaches to save energy with acceptable quality of service (QoS). In our previous studies, Artificial Bee Colony (ABC) based VM allocation policy can make a good tradeoff between performance and energy consumption. However, there are two problems in state-of-the-art ABC based approaches: ( 1 ) how to find global optimized solutions efficiently; ( 2 ) how to minimize the decision time of VM allocation. To solve these two problems, the idea of simulated annealing is adopted to get a better global optimum, and the idea of gradient descent is applied to accelerate the speed of finding solution space in Δ t . Compared with state-of-the-art ABC based policies, the experimental results show that the proposed algorithm efficiently reduces energy consumption and SLA violation.
ISSN:1058-9244
1875-919X
DOI:10.1155/2016/9524379