Modified Heft Algorithm for Workflow Scheduling in Cloud Computing Environment

Abstract

Cloud Computing is a high performance computing environment which gives pliability, accessibility and scalability of resources. Cloud computing mostly deals with autonomous systems and are getting commercialized rapidly. This field allows a lot of researches to work on. The focus of this paper is on optimized scheduling of resources, an NP hard problem is the vital part of cloud computing. Composite applications commonly are represented as workflows. The effective solution of workflow scheduling, a crucial aspect of cloud computing has gained continuous attention and dynamic provision is considered here. In this research heuristic heterogeneous algorithm (HEFT) has been novelly optimized (MHEFT). The proposed MHEFT efficiently reduces the makespan time, by mainly focusing on the reduction of communication cost. In addition to this energy consumed for scheduling is also reduced.