A novel algorithm for dynamic task scheduling

doi:10.1016/j.future.2011.12.001

2012-05-01

PRE

Sasmita Kumari Nayak

Sasmita Padhy

Siba Prasada Panigrahi *

DOI：10.1016/j.future.2011.12.001

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摘要

En 中文

This paper deals with the problem of dynamic task scheduling in grid environment of multi-processors. First, this paper formulates task scheduling as an optimization problem and then optimizes with a novel hybrid optimization algorithm. The proposed algorithm combines the merits of Genetic Algorithm and Bacteria Foraging optimization. The simulation result proves the superior performance with the proposed algorithm. (C) 2011 Elsevier B.V. All rights reserved.

Keyword:

Grid computing

Task scheduling

Genetic algorithms

Bacteria foraging optimization

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期刊

Future Generation Computer Systems-The International Journal of eScience

IF:

6.1

论文数:

6.9K

被引数:

2.3W

机构

gandhi institute for technological advancement

学者数:

论文数: 33

被引数: 0

centurion university of technology & management

学者数:

674

论文数: 515

被引数: 0

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