An adaptive management mechanism for resource scheduling in multiple virtual machine system

Authors:
Jian Wan;Laurence T. Yang;Yunfa Li;Xianghua Xu;Naixue Xiong
Affiliations:
School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China;Department of Computer Science, St. Francis Xavier University, Antigonish, NS, Canada;School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China;School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China;Department of Computer Science, IS&T on Virtual Computing Lab, Georgia State University, Georgia
Venue:
ATC'11 Proceedings of the 8th international conference on Autonomic and trusted computing
Year:
2011

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Abstract

With the growth of hardware and software resources, the management of resource scheduling is becoming more and more difficult in multiple virtual machine system. It has become a very difficult problem that how to schedule the system resource and improve the service performance of resource. In order to solve this problem, we propose an adaptive management mechanism for resource scheduling. In the management mechanism, we first propose an adaptive management model for resource scheduling. Then, we present a genetic simulated annealing to resolve the management model. On the basis of the model and the algorithm, we design a management module. All these constitute an adaptive management mechanism for resource scheduling in multiple virtual machine system. In order to justify the feasibility and availability of the adaptive management mechanism for resource scheduling, a series of experiments have been done. The results show that it is feasible to adaptively manage and schedule the system resources and ensure the quality of service of resources in multiple virtual machine system.