VRAS: A Lightweight Local Resource Allocation System for Virtual Machine Monitor

  • Authors:

  • Hai Jin;Wei Gao;Song Wu;Xuanhua Shi

  • Affiliations:

  • Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China 430074;Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China 430074;Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China 430074;Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China 430074

  • Venue:
  • Wireless Personal Communications: An International Journal
  • Year:
  • 2013

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Abstract

Traditional computing resource allocations in virtualization environment devote to provide fairness of resource distribution when the overall workload of host is heavy. That makes those allocations lack of efficiency under light workloads. To target this, we design and implement a lightweight resource allocation system, virtual resource allocation system (VRAS). Considering the fact that workloads can be balanced by migrating virtual machines to other hosts, we propose a request driven mechanism to focus on resource allocation under light workloads. We also present some allocation strategies used in VRAS to explain how it works on processor and memory resources. Our experiment results demonstrate that VRAS can result in throughput improvements of 28 % for RUBiS application, and the network overhead reduction of 81 %, comparing with the traditional allocation methods.