An improved ant colony optimization algorithm with fault tolerance for job scheduling in grid computing systems-Reference-Cited by-同舟云学术

An improved ant colony optimization algorithm with fault tolerance for job scheduling in grid computing systems

Published:2017-05-17 Issue:5 Volume:12 Page:e0177567
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Idris Hajara,Ezugwu Absalom E.^ORCID,Junaidu Sahalu B.,Adewumi Aderemi O.

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference28 articles.

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4. Barboni, S. Assessment of dependability scenarios in large-scale grids, using GridSim toolkit. Master's Thesis. Institute of Computer Science of the Ludwig Maximilians University. 2011.

5. Fault tolerance in grid computing: state of the art and open issues;R Garg;International Journal of Computer Science & Engineering Survey (IJCSES),2011

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