Enhanced Modified HEFT Algorithm for Task Scheduling in Cloud Environment

Abstract

Cloud computing has revolutionized IT technology, providing services to users and consumers through the Internet. These services vary between hardware and software services, thus saving on cost of establishing physical resources as well as providing the necessary software licenses. There are many challenges facing the cloud computing system, and one of the most important and prominent challenge is the task scheduling problem, to solve the problem of scheduling the tasks in different ways, starting with improving the scheduling of tasks within the Enhanced -MHEFT.Cloud computing is also now powered by high-performance computing delivery which offers internet-based information sampling and on-request services. The Task scheduling thus is an important field of study in the cloud world as customer demand for resources varies rapidly. Unable to spread the function effectively, Heterogeneous Earliest Finish Time (HEFT). We improve Enhanced HEFT algorithm that efficiently distributes workload between the processor and reduces the time cycle of applications to create. Computational investigations showed that changing the Improved HEFT algorithm performs preferable than the current HEFT algorithm, Heterogeneous Earliest Finish Time (CPOP).