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计算机工程 ›› 2008, Vol. 34 ›› Issue (21): 190-192. doi: 10.3969/j.issn.1000-3428.2008.21.068

• 人工智能及识别技术 • 上一篇    下一篇

网格中执行SLA的并行多群体协作PSO框架

祁 超1,2,张 璟1,马君亮2   

  1. (1. 西安理工大学计算机科学与工程学院,西安 710048;2. 陕西师范大学计算机科学学院,西安 710062)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2008-11-05 发布日期:2008-11-05

Parallel Multi-swarm Cooperative PSO Framework of Implemented SLA in Grid

QI Chao1,2, ZHANG Jing1, MA Jun-liang2   

  1. (1. School of Computer Science and Engineering, Xian University of Technology, Xi’an 710048; 2. School of Computer Science, Shannxi Normal University, Xi’an 710062)
  • Received:1900-01-01 Revised:1900-01-01 Online:2008-11-05 Published:2008-11-05

摘要: 针对广域范围内的计算资源加入粒子群优化(PSO)执行从而提高计算效率并降低计算成本,提出一个网格环境下执行SLA的并行多群体协作PSO框架(PMCF)。给出一个适应网格环境的并行多群体协作PSO(PMCPSO)算法,基于WS-Agreement研究了利用网格技术和PMCPSO算法设计PMCF,把一个元任务调度器用于无缝的资源发现、选取及协商服务质量,通过模拟试验对PMCF进行了评估。

关键词: 网格计算, 服务质量, 服务级协定, 多群体协作PSO

Abstract: For joining the computational resources in large field into the implementation of PSO to enhance the computational efficiency and reduce the computational cost, a Parallel Multi-swarm Cooperative PSO Framework(PMCF) of Service Level Agreement(SLA) implementing is presented in this paper. A Parallel Multi-swarm Cooperative PSO(PMCPSO) algorithm adapted to Grid environment is proposed. Based on WS-Agreement, how to make use of Grid technologies and PMCPSO algorithm to design PMCF becomes the emphasis of research. PMCF has a meta-scheduler for the seamless resource discovery, selection and negotiation of QoS. The performance of PMCF is evaluated by the experiment.

Key words: grid computing, QoS, Service Level Agreement(SLA), Multi-swarm Cooperative PSO(MCPSO)

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