An Optimal Job Scheduling Algorithm for Cloud Environment using Enhanced Hyper-Heuristic Approach

Abstract

In real world situation, distributed computing's concept cloud computing is the
significant idea to upgrade this present reality application. Because of the gigantic utilization
of the cloud computing by the buyers it faces numerous obstacles in handling their customer
demand. One of the serious issue brought up in cloud computing is scheduling the jobs in the
system. Numerous customary frameworks gave the answer for the scheduling the jobs issue in
the cloud condition. Be that as it may, neglected to give ideal answer for all classifications of
errands and assets. In the proposed methodology, for the classification High Task High
Resources, an ideal planning calculation named unsystematic-balancer scheduling algorithm
(UBS) has been proposed to explain the job scheduling issues in the cloud condition. The
proposed methodology is contrasted and four conventional calculations and the outcomes are
assessed to legitimize the presentation of the proposed framework. The proposed UBS
calculation performs well when contrasting and the current framework and gives the ideal
answer for the class High Task High Resources in the cloud environment.