School of Computer science and engineering, Xi’an University of technology, Xi’an, 710048, China

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Abstract—A resource management methodology for collaborative computing systems over multiple virtual machines (CCSMVM) is presented to increase the performance of computing systems by improving the resource utilization, which has constructed a scalable computing environment for resource on-demand utilization. We have designed a resource management framework and a prototype to improve resource utilization rate, reduce computing systems overheads and maintain workloads balancing, whose key technologies include resource planning, resource allocation, resource adjustment and resource release. The experiments have verified the feasibility of our prototype and the results of system evaluations show that the time of resource allocation and resource release is proportional to the quantity of virtual machines, but not the time of the virtual machines migrations. Our study on resource management methodology has some significance to the optimization of the performance in virtual computing systems.

Index Terms—Virtual machine; Virtualization; Collaborative computing; Resource management; Resource utilization

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Cite: Xiaojun Chen, Jing Zhang , Junhuai Li, Xiang Li, "A Resource Management Methodology for Collaborative Computing System over Multiple Virtual Machines," Journal of Software vol. 6, no. 11, pp. 2282-2291, 2011.