Genetic Algorithm Approach for Implementation of Job Scheduling Problem
Main Article Content
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
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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