A Novel Load Balancing Model Using RR Algorithm for Cloud Computing

Cloud Computing is computing where in several groups of servers are networked for providing online access to users. Several factors which influence cloud computing such as scalability, security etc are discussed by many researchers. Now a days usage of internet resources is widely increasing resulting in the increase of workload exponentially. In order to make cloud computing efficient and improve user satisfaction this incoming huge workload is to be handled with care. This paper introduces techniques for the public cloud based on cloud partitioning concept that makes cloud computing effective. Cloud Partitioning is an efficient method for a public cloud, where in a public cloud is divided into several sub partitions. This cloud partitioning method paves way to apply load balancing technique in a simplified manner across the multiple nodes. Load balancing is a technique that distributes workload across several nodes uniformly which results in improved performance and less response time through a right distribution strategy. This paper introduces skewness measurement technique along with load balancing using Round Robin (RR) technique in order to obtain enhanced performance which results in Green Computing.