Dynamic ACO-based fault tolerance in grid computing

Saufi Bukhari, Ku Ruhana Ku-Mahamud, Hiroaki Morino

研究成果: Article査読

3 被引用数 (Scopus)

抄録

Scheduling jobs in distributed conditions of grid computing is nearly impossible to have a completely fault-free system. It is important to integrate fault tolerance capability in the system so that the system can continue to run even in the presence of failure in addition to improving the scheduling process as well as reducing the possibility of faults. Typically, load balancing is not considered in the presence of failure and this may lead to an inefficient scheduling process despite having a good fault tolerance strategy. This paper presents an ant-based fault tolerance algorithm that used checkpoint and resubmission techniques with consideration of execution history in the pheromone updating process to enhance fault tolerance capability. Experimental results showed that the proposed algorithm has better performance as compared to other relevant algorithms in terms of execution time, success rate, and average turnaround time per job.

本文言語English
ページ(範囲)117-124
ページ数8
ジャーナルInternational Journal of Grid and Distributed Computing
10
12
DOI
出版ステータスPublished - 2017

ASJC Scopus subject areas

  • Computer Science(all)

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