Probability based virtual machines placement for green data center

被引：0
|
作者：
Ye H.-Z. [1 ,2 ]
Li T.-S. [3 ]
机构：
[1] College of Electrical Engineering, Guangxi University, Nanning
[2] College Of Information Science and Engineering, Guilin University Of Technology, Guilin
[3] School of Information and Engineering, Guangxi University, Nanning
来源：
Int. J. Database Theory Appl. | / 12卷 / 131-140期
基金：
中国国家自然科学基金;
关键词：
Genetic algorithm; Green data center; Normal distribution; Virtual machines placement;
D O I：
10.14257/ijdta.2016.9.12.13
中图分类号：
学科分类号：
摘要：
Virtual Machine Placement (VMP) is regarded as an important criterion to improve resource utilization and reduce energy consumption for cloud data centers. The existing VMP schemes simply set the VM resource requirements fixed values and ignore their fluctuation characteristics. Assuming normal distribution resource requirements, we firstly present a model for data centers based on a more accurate energy consumption model for single machine. Then, an effective genetic algorithm is adopted to solve this model. In the algorithm, some important issues, such as the number of population, fitness function and calculating method of energy consumption are discussed. In the end, we validate our method by experiments. © 2016 SERSC.
引用
收藏
页码：131 / 140
页数：9
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