Task scheduling and virtual machine allocation policy in cloud computing environment

Cloud computing represents a novel computing model in the contemporary technology world. In a cloud system, the com- puting power of virtual machines （VMs） and network status can greatly affect the completion time of data intensive tasks. How- ever, most of the current resource allocation policies f...

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Bibliographic Details
Published in:Journal of systems engineering and electronics 2015-08, Vol.26 (4), p.847-856
Main Authors: Fu, Xiong, Cang, Yeliang
Format: Article
Language:English
Subjects:
Algorithms
Allocations
Cloud computing
Completion time
Computation
Networks
Policies
Task scheduling
任务调度算法
分配政策
分配策略
完成时间
数据密集型
虚拟机
计算环境
计算能力
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Summary:Cloud computing represents a novel computing model in the contemporary technology world. In a cloud system, the com- puting power of virtual machines （VMs） and network status can greatly affect the completion time of data intensive tasks. How- ever, most of the current resource allocation policies focus only on network conditions and physical hosts. And the computing power of VMs is largely ignored. This paper proposes a comprehensive resource allocation policy which consists of a data intensive task scheduling algorithm that takes account of computing power of VMs and a VM allocation policy that considers bandwidth between storage nodes and hosts. The VM allocation policy includes VM placement and VM migration algorithms. Related simulations show that the proposed algorithms can greatly reduce the task comple- tion time and keep good load balance of physical hosts at the same time.
ISSN:1004-4132
DOI:10.1109/JSEE.2015.00092