Energy and performance efficient Underloading Detection Algorithm of Virtual Machines in Cloud Data Centers

被引：1
|
作者：
Fang, Juan [1 ]
Zhou, Lifu [1 ]
Hao, Xiaoting [1 ]
Cai, Min [1 ]
Ren, Xingtian [1 ]
机构：
[1] Beijing Univ Technol, Coll Comp Sci, Beijing, Peoples R China
来源：
2016 IEEE INTERNATIONAL CONFERENCE ON CLUSTER COMPUTING (CLUSTER) | 2016年
关键词：
cloud center; virtual machine; underloading detection algorithm;
D O I：
10.1109/CLUSTER.2016.72
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
The problem of high energy consumption is becoming more and more serious due to the construction of large-scale cloud data centers. Detecting and switching underloading hosts into sleep mode is the key approach to reduce energy consumption. In this paper, we propose Minimum Utilization with Threshold algorithm to reduce energy consumption and VLA violation. We use the simulator CloudSim in our experiment with our algorithm and have a significant reduction on both energy consumption and SLA violation based on our data.
引用
收藏
页码：134 / 135
页数：2
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