Improved Round Robin Algorithm for Data Center Selection in Cloud Computing

In cloud computing, the main factor to achieve a high user satisfaction and increased resource utilization ratio by ensuring an efficient and fair allocation of every computing resource is effective load balancing. It helps to achieve. Proper load balancing aids in minimizing resource consumption, implementing fail-over, enabling scalability, avoiding bottlenecks etc. In Cloud Computing Scenario Load Balancing is composed of selecting Data Center for upcoming request and Virtual machine management at individual Data Center. In this paper, we proposed and implemented Improved Round Robin service broker (DC selection) algorithm in cloud computing. Also we compare the results of proposed algorithm with existing algorithm. This study concludes that the proposed DC selection algorithm mainly focus on reducing service response time observed at client side. The result shows drastic reduction in Response time at client side by using Improved Round Robin DC selection algorithm. Various parameters are also identified, and these are used to compare the existing techniques.