A Game Based Consolidation Method of Virtual Machines in Cloud Data Centers With Energy and Load Constraints

To reduce energy consumption and balance the resource load of physical machines (PMs) in cloud data centers, we present a game-based consolidation method of virtual machines (VMs) with energy and load (applied load) constraints. First, we test every measured value of the resource load using a t-test...

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Bibliographic Details
Published in:IEEE access 2018-01, Vol.6, p.4664-4676
Main Authors: Guo, Liangmin, Hu, Guiyin, Dong, Yan, Luo, Yonglong, Zhu, Ying
Format: Article
Language:English
Subjects:
Algorithms
Cloud computing
Cloud data center
Computer centers
Consolidation
Data centers
energy
Energy consumption
game
Games
Load
Load management
Outliers (statistics)
Resource management
Scheduling
Virtual environments
VM migration
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Summary:To reduce energy consumption and balance the resource load of physical machines (PMs) in cloud data centers, we present a game-based consolidation method of virtual machines (VMs) with energy and load (applied load) constraints. First, we test every measured value of the resource load using a t-test to filter outliers. Based on these values, the future resource load is forecast using gray theory. Second, all online PMs are grouped by the number of VMs on them and their future load values. Based on the groupings, a pre-processing algorithm for selecting destination PMs is proposed to determine a set of destination PMs for a VM awaiting migration. Finally, we select the final destination PM for the VM using game-based methods aimed at optimizing overall energy consumption. The experimental results show that our method can reduce energy consumption as well as balance loads without unnecessarily increasing the number of VM migrations.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2017.2787735