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  • 标题:Grid Computing based on Game Optimization Theory for Networks Scheduling
  • 本地全文:下载
  • 作者:Zhang, Peng-fei ; Li, Xiang-yang ; Ma, Lei
  • 期刊名称:Journal of Networks
  • 印刷版ISSN:1796-2056
  • 出版年度:2014
  • 卷号:9
  • 期号:5
  • 页码:1295-1300
  • DOI:10.4304/jnw.9.5.1295-1300
  • 语种:English
  • 出版社:Academy Publisher
  • 摘要:The resource sharing mechanism is introduced into grid computing algorithm so as to solve complex computational tasks in heterogeneous network-computing problem. However, in the Grid environment, it is required for the available resource from network to reasonably schedule and coordinate, which can get a good workflow and an appropriate network performance and network response time. In order to improve the performance of resource allocation and task scheduling in grid computing method, a game model based on non-cooperation game is proposed. Setting the time and cost of user’s resource allocation can increase the performance of networks, and incentive resource of networks uses an optimization scheduling algorithm, which minimizes the time and cost of resource scheduling. Simulation experiment results show the feasibility and suitability of model. In addition, we can see from the experiment result that model-based genetic algorithm is the best resource scheduling algorithm
  • 关键词:Network security;Grid computing;Workflow scheduling;Resource allocation;Game theory
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