Cloud Scheduling Using Hybrid Heuristic Based HEFT and Enhanced GRASP Approach: A Study and Analysis

Abstract

Cloud computing has emerged as a new marketoriented business model for elucidating large-scale problems in heterogeneous distributed systems. It provides defended, rapid, beneficial data storage and computing power with the assistance of internet. Cloud provides on-demand services for different QoS requirements of different users. So, scheduling the services is wearying one. In this paper, we proposed Hybrid heuristic based HEFT to provide efficient task scheduling in cloud environment. In addition, task duplication concept is combined with greedy randomized search procedure to solve optimization problems in heterogenous environment. Experimental results shows that the proposed algorithms are able to reduce the cost and time in significant manner.