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基于微粒群算法的服务网格任务优化调度问题的研究
引用本文:刘红文,曾敏. 基于微粒群算法的服务网格任务优化调度问题的研究[J]. 计算机与现代化, 2010, 0(12): 8-11. DOI: 10.3969/j.issn.1006-2475.2010.12.002
作者姓名:刘红文  曾敏
作者单位:湖南工业大学,湖南株洲412007
摘    要:需要人参与提供服务的网格任务调度中,需要考虑许多时间因素。因此本文提出一个基于时间差异的网格任务调度模型,应用微粒群算法对网格中任务调度模型作性能优化,并通过分析和模拟,得出此算法能够得到任务调度的最优完成时间。

关 键 词:服务网格  任务  优化  调度  微粒群算法

Study on Service Grid Task Scheduling Model Based on Particle Swarm Optimization Algorithm
LIU Hong-wen,ZENG Min. Study on Service Grid Task Scheduling Model Based on Particle Swarm Optimization Algorithm[J]. Computer and Modernization, 2010, 0(12): 8-11. DOI: 10.3969/j.issn.1006-2475.2010.12.002
Authors:LIU Hong-wen  ZENG Min
Affiliation:(Hunan University of Technology,Zhuzhou 412007,China)
Abstract:The grid task scheduling must take account of many time factors because of human's participation.So the paper proposes a grid task scheduling model based on time difference,then a new optimized approach-Particle Swarm Algorithm(PSO)-is proposed to schedule tasks in service grid.Finally,experiment results show the model can shorten the task implementation time as far as possible,and PSO algorithm is better than some traditional algorithms.
Keywords:service grid  tasks  optimization  scheduling  particle swarm optimization algorithm
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