Title
An Iterative Budget Algorithm for Dynamic Virtual Machine Consolidation Under Cloud Computing Environment
Abstract
Virtualization is a crucial technology of cloud computing to enable the flexible use of a significant amount of distributed computing services on a pay-as-you-go basis. As the service demand continuingly increases to a global scale, efficient virtual machine consolidation becomes more and more imperative. Existing heuristic algorithms targeted mostly at minimizing either the rate of service level agreement violations or the energy consumption of the cloud. However, the communication overhead among different virtual machines and the decision time of virtual machine consolidation are rarely considered. To reduce both the over-utilized nodes and the under-utilized nodes with the consideration of migration cost, communication overhead, and energy consumption, this paper presents a new iterative budget algorithm in which a budget heuristic and a multi-stage selection strategy are designed to find suitable migration objects and targets simultaneously. Experiments show that the proposed algorithm provides a substantial improvement over other typical heuristics and metaheuristic algorithms in reducing the energy consumption, the number of migrated virtual machines, the overall communication overhead, as well as the decision time.
Year
DOI
Venue
2021
10.1109/TSC.2018.2793209
IEEE Transactions on Services Computing
Keywords
DocType
Volume
Cloud computing,virtual machine migration,iterative optimization,resource management
Journal
14
Issue
ISSN
Citations 
1
1939-1374
3
PageRank 
References 
Authors
0.41
0
5
Name
Order
Citations
PageRank
Yuanjun Laili150.77
F. Tao2117072.28
Fei Wang341.48
Lin Zhang414616.93
Tingyu Lin530.41