An Enhanced Load Balancing Technique for Efficient Load Distribution in Cloud-Based IT Industries

The advent of technology has led to the emergence of new technologies such as cloud computing. Evolution of IT industry has oriented towards the consumption of large scale infrastructure and development of optimal software products, thereby demanding heavy capital investment by the organizations. Cloud computing is one of the upcoming technologies that have enabled to allocate apt resources on demand in a pay-go approach. However, the existing techniques of load balancing in cloud environment are not efficient in reducing the response time required for processing the requests. Thus, one of the key challenges of the state-of-art of research in cloud is to reduce the response time, which in turn reduces starvation and job rejection rates. This paper, therefore aims to provide an efficient load balancing technique that can reduce the response time to process the job requests that arrives from various users of cloud. An enhanced Shortest Job First Scheduling algorithm, which operates with threshold (SJFST), is used to achieve the aforementioned objective. The simulation results of this algorithm shows the realization of efficient load balancing technique which has resulted in reduced response time leading to reduced starvation and henceforth lesser job rejection rate. This enhanced technique of SJFST proves to be one of the efficient techniques to accelerate the business performance in cloud atmosphere.