Ant algorithm with execution quality based prediction in grid scheduling

  • Zhu Yiqun*
  • , Li Minglu
  • , Weng Chuliang
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Task scheduling is one important job in Grid computing and also a hard and complex problem. We have quite a few algorithm of task scheduling in the past researches. Ant Algorithm is a heuristic algorithm. The inherent parallelism and scalability make this algorithm meet the requirement of complex task scheduling in Grid computing. In this paper, we will propose an improved ant algorithm in our power grid environment. We made several improvements on the calculation of pheromone and task issue method as well. The improved algorithm becomes more sensitive with the power grid environment and more robust with heavy workload.

Original languageEnglish
Title of host publication4th ChinaGrid Annual Conference, ChinaGrid 2009
Pages77-83
Number of pages7
DOIs
StatePublished - 2009
Externally publishedYes
Event4th ChinaGrid Annual Conference, ChinaGrid 2009 - Yantai, China
Duration: 21 Aug 200922 Aug 2009

Publication series

Name4th ChinaGrid Annual Conference, ChinaGrid 2009

Conference

Conference4th ChinaGrid Annual Conference, ChinaGrid 2009
Country/TerritoryChina
CityYantai
Period21/08/0922/08/09

Keywords

  • Grid computing
  • Improved ant algorithm
  • Power grid
  • Task scheduling

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