Genetic Algorithm Approach for Implementation of Job Scheduling Problem

Main Article Content

Sachin V. Solanki

Abstract

A job scheduling maps and schedules the virtual machine (VM) resources to physical machines (VM) for getting the finest mapping result to achieve the proper system load balance. Job scheduling system tries to find the best suitable schedule in a system for VMs and PMs, by considering various on time restrictions into concern. The ultimate goal of job scheduling is to schedule adaptable virtual machines to physical machines, getting a suitable order in order to enhance resource utility. This research paper proposes an approach in order to discuss a Job Scheduling problem to progress resource utility with the help of Genetic Algorithm (GA).
DOI: 10.17762/ijritcc2321-8169.150678

Article Details

How to Cite
, S. V. S. (2015). Genetic Algorithm Approach for Implementation of Job Scheduling Problem. International Journal on Recent and Innovation Trends in Computing and Communication, 3(6), 3867–3872. https://doi.org/10.17762/ijritcc.v3i6.4554
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Articles