Paper Info
Title
Energy and Performance Efficient Underloading Detection Algorithm of Virtual Machines in Cloud Data Centers
Abstract
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.
Year
DOI
Venue
2016
10.1109/CLUSTER.2016.72
2016 IEEE International Conference on Cluster Computing (CLUSTER)
Keywords
Field
DocType
cloud center,virtual machine,underloading detection algorithm
Algorithm design,Virtual machine,Computer science,Algorithm,Real-time computing,Sleep mode,Energy consumption,High energy,Virtual machining,Cloud computing,Distributed computing,CloudSim
Conference
ISSN
ISBN
Citations 
1552-5244
978-1-5090-3654-7
0
PageRank 
References 
Authors
0.34
2
5
Name
Order
Citations
PageRank
Fang Juan194.63
Lifu Zhou200.34
Xiaoting Hao311.02
Min Cai400.34
Xingtian Ren500.34