A Parametric Weighted Approach to Perform Load Balancing in Cloud Environment

A cloud environment is the distributed system in which number of cloud servers and clients are connected using an intermediate service layer. The number of clients over the cloud system increases, the load on the best configuration and effective service provider server also increases. In such case, to provide the equal distribution of load among all servers, there is a requirement of some load balancing mechanism in cloud system. In this presented work, a two sided dynamic trust mechanism will be applied to perform the load balancing. The first level trust will be implemented on server side to perform the prioritization. On server side, the trust mechanism will be estimated under three vectors. By assigning the weightage to these three vectors, priority to each cloud server will be assigned. Once the server side priority will be defined based on trust analysis, the next work is to prioritize the clients based on the trust analysis. User trust will be defined under three vectors. Based on three vectors, the scheduling of the user requests will be performed. Now the scheduled process will be allocated to the cloud servers under the prioritized sequence. If the server is already loaded, the low priority process will be migrated to the low priority cloud. The main work is to execute the high priority user task on high priority cloud.