An Adaptive Management Mechanism for Resource Scheduling in Multiple Virtual Machine System

  • Jian Wan
  • Laurence T. Yang
  • Yunfa Li
  • Xianghua Xu
  • Naixue Xiong
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6906)


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.


Virtual Machine Schedule Algorithm System Resource Adaptive Management Physical Resource 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Jian Wan
    • 1
  • Laurence T. Yang
    • 2
  • Yunfa Li
    • 1
  • Xianghua Xu
    • 1
  • Naixue Xiong
    • 3
  1. 1.Grid and Service Computing Lab, School of Computer Science and TechnologyHangzhou Dianzi UniversityHangzhouChina
  2. 2.Department of Computer ScienceSt. Francis Xavier UniversityAntigonishCanada
  3. 3.Department of Computer Science, IS&T on Virtual Computing LabGeorgia State UniversityGeorgiaUSA

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