Evolutionary Heuristic for Job Scheduling using Grid Computing | Zendy

Japinder Kaur | Zendy; Mehak Naib | Zendy

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Evolutionary Heuristic for Job Scheduling using Grid Computing

Author(s) -

Japinder Kaur,

Mehak Naib

Publication year - 2015

Publication title -

international journal of computer applications

Language(s) - English

Resource type - Journals

ISSN - 0975-8887

DOI - 10.5120/21304-4072

Subject(s) - computer science , job scheduler , grid computing , heuristic , grid , scheduling (production processes) , distributed computing , operations research , artificial intelligence , mathematical optimization , cloud computing , operating system , geometry , mathematics , engineering

Grid resources scheduling has become a challenge in the computational Grid. This paper reviews efficient management techniques for managing resources in Grid computing which crucially depends upon the efficient mapping of the jobs to resources according to the user’s requirements. The mapping of the jobs is an NP-Complete problem. There is no best solution for all grid computing system. In grid atmosphere Job and resource scheduling is one of the key research area in grid environment.

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