Hopfield neural network for simultaneous job scheduling and data replication in grids
Abstract
This paper presents a novel heuristic approach, named JDS-HNN, to simultaneously schedule jobs and replicate data files to different entities of a grid system so that the overall makespan of executing all jobs as well as the overall delivery time of all data files to their dependent jobs is concurrently minimized. JDS-HNN is inspired by a natural distribution of a variety of stones among different jars and utilizes a Hopfield Neural Network in...
Paper Details
Title
Hopfield neural network for simultaneous job scheduling and data replication in grids
Published Date
Oct 1, 2013
Volume
29
Issue
8
Pages
1885 - 1900
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