A Power-aware ACO Algorithm for the Cloud Computing Platform

被引:9
|
作者
Yan, Wuyang [1 ]
Chen, Jianxin [1 ]
Li, Lianwan [1 ]
机构
[1] Nanjing Univ Posts & Telecommun, Key Lab Broadband Wireless Commun & Sensor Networ, Minist Educ, Nanjing, Peoples R China
来源
PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON COMMUNICATION AND INFORMATION PROCESSING (ICCIP 2018) | 2018年
关键词
Cloud computing; Power consumption; VM migration; ACO algorithm; VIRTUAL MACHINES; ENERGY; CONSOLIDATION;
D O I
10.1145/3290420.3290428
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Cloud computing provides a variety of services. However, the data center for cloud computing consumes a lot of power. Reducing the power consumption of data center is very important. In this paper, we propose a Power-aware ACO algorithm for the cloud computing platform, which optimizes the ACO algorithm with the goal of minimizing power consumption. In order to solve the problem of too many hosts for migration that the classic ACO cannot solve, we treat the idle hosts and active hosts differently. Together with the initialization based on the modified Power-aware Best Fit Decreasing algorithm, our Power-aware ACO can handle VM migration problems no matter there are too many hosts or not. The simulation results show that our Power-aware ACO is able to reduce 20% and 91% power consumption compared with VMP-ACO in two different circumstances. In addition, our algorithm is also proved to be stable and reliable after different tests with various initial conditions.
引用
收藏
页码:1 / 6
页数:6
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