A Load Balancing Based Improved Task Scheduling Algorithm in Cloud Computing

Abstract

The concept of cloud computing creates new opportunities for Business and IT enterprises to achieve their objectives. Cloud caters to many needs of the organizations like storage, servers and applications. Cloud computing is extremely beneficial as it is a demand and pay per use service. In cloud computing, specifically there are range of jobs that need to be completed with the to be had assets to achieve most fulfilling performance, less cost of processing, short average waiting time, shortest response time, and efficient utilization of resources etc. Normally errands are scheduled by client instructions or prerequisites. Load balancing is one of the major challenges in cloud computing which is required to distribute the dynamic workload across more than one nodes to make sure that no single node is overloaded. It helps in optimum utilization of resources and hence in enhancing the performance of the system. There are few existing scheduling algorithms which could keep load balancing and provide better methods via efficient process scheduling and resource allocation strategies as well. It becomes important to efficiently utilize the resources which are available so as to maximize the profits with optimized scheduling and load balancing algorithms. This paper discusses some of the scheduling and load balancing algorithms in cloud computing and results have been derived thereafter. Keywords: Cloud Computing, Job Scheduling, Load Balancing, Efficiency, Performance, Cost I. INTRODUCTIONThe most recent advancements in cloud computing are a rising strategy nowadays is cloud computing. As of late it is discovered that investigators have interest in utilizing cloud for carrying out technical applications and also the enormous associations are on the edge of changing over to hybrid cloud. Numerous applications which are very complex need parallel processing for executing the jobs efficiently. Because of the synchronization and communication among processes which run parallel, there is a reduction in usage of resources of CPU. It is fundamental for a data center to accomplish the use of hubs while keeping up the level of responsiveness of jobs which are running parallel. The cloud computing is pulling in an expanded number of uses to keep running in the data centers which are remote. Numerous intricate applications necessitate capabilities of parallel processing. A portion of the applications which are running parallel demonstrate a decline in usage of resources of CPU at whatever point there is an expansion in parallelism only when there is no planning of jobs accurately then it lessens the execution of a computer. In Cloud Computing, scheduling plays a vital role in efficiently managing the computer services; It is the succession of captivating decisions about the allocation of available resources and /or capacity to jobs and /or customers well on time. Thousands of users share cloud services by submitting their thousands of computing tasks to the cloud computing environment [1]. Scheduling of these thousands...