publication . Article . Other literature type . 2015

Optimal Grid Scheduling Using Improved Artificial Bee Colony Algorithm

T. Vigneswari; M. A. Maluk Mohamed;
Open Access English
  • Published: 01 Jan 2015
Abstract
Job Scheduling plays an important role for efficient<br> utilization of grid resources available across different domains and<br> geographical zones. Scheduling of jobs is challenging and NPcomplete.<br> Evolutionary / Swarm Intelligence algorithms have been<br> extensively used to address the NP problem in grid scheduling.<br> Artificial Bee Colony (ABC) has been proposed for optimization<br> problems based on foraging behaviour of bees. This work proposes a<br> modified ABC algorithm, Cluster Heterogeneous Earliest First Min-<br> Min Artificial Bee Colony (CHMM-ABC), to optimally schedule<br> jobs for the available resources. The proposed model utilizes a nove...
Subjects
free text keywords: Grid Computing, Grid Scheduling, Heterogeneous Earliest Finish Time (HEFT), Artificial Bee colony (ABC) Algorithm, Resource Management., Heterogeneous Earliest Finish Time (HEFT), Artificial Bee colony (ABC) Algorithm
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Article . 2015
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Other literature type . 2015
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Other literature type . 2015
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publication . Article . Other literature type . 2015

Optimal Grid Scheduling Using Improved Artificial Bee Colony Algorithm

T. Vigneswari; M. A. Maluk Mohamed;