A Study on Implementing Load Balancing in Cloud Computing Using Divisible Load Scheduling Theory Over Microsoft Azure and Sales Force Data Centres

Cloud computing is one of the important technologies which are used in the various research fields for accessing the resources in the demand bases. During this process, cloud faces different issues pertaining to fault tolerance, availability, scalability and overhead reduction, load balancing among various nodes is the central issue. It is a very big requirement that the loads are evenly distributed among a range of nodes so as to enhance usage of resources and provide quick response time for jobs. In this paper, a novel method of load balancing technique using a divisible load scheduling method is proposed for overcoming those issues. This algorithm is dynamic in nature which process the data by kept in two different centers and various queries are passed. The experimental results exhibit that this proposed method performs well and the values of various performance estimation parameters viz. migration time, throughput, response time and utilization of resources are good compared to traditional methods.