REVIEW OF JOB SCHEDULING MECHANISM  IN  HETEROGENEOUS GRID

Madhu Kalotra; Richa dogra

REVIEW OF JOB SCHEDULING MECHANISM IN HETEROGENEOUS GRID

Authors: Madhu Kalotra, Richa dogra

Unique Paper ID: 147833
Volume: 5
Issue: 11
PageNo: 168-173

Keywords: ACO BAT Cuckoo genetic algorithm.

Abstract:
Because of a phenomenal increment in the quantity of computing assets in various associations, compelling jobs scheduling algorithms are required for proficient asset use. Job scheduling in considered as NP difficult issue in parallel and disseminated registering situations, for example, group, matrix and mists. Metaheuristics, for example, Genetic Algorithms, Ant Colony Optimization, Artificial Bee Colony, Cuckoo Search, Firefly Algorithm, Bat Algorithm and so on are utilized by researchers to get close ideal answers for work scheduling issues. These metaheuristic algorithms are utilized to plan distinctive sorts of jobs, for example, BSP, Workflow and DAG, Independent undertakings and Bag-of-Tasks. This paper is an endeavor to give exhaustive review of prominent nature-enlivened metaheuristic procedures which are utilized to plan distinctive classifications of jobs to accomplish certain execution targets.

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Cite This Article

ISSN: 2349-6002
Volume: 5
Issue: 11
PageNo: 168-173

REVIEW OF JOB SCHEDULING MECHANISM IN HETEROGENEOUS GRID

Available:https://ijirt.org/Article?manuscript=147833

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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