A Probabilistic Model for Finding an Optimal Host Framework and Load Distribution in Cloud Environment

Cloud Computing is being widely accepted in this computing world and comprises of many hardware and software resources. It becomes critical to meet their client's needs on time if the cloud data centers are so overloaded. In this regard, if the utilization of resources becomes an intelligent way so that we focused on the selection problem of the physical hosts for deploying the tasks. So, OPH-LB (Optimal Physical Host with effective Load Balancing) framework is proposed to model the service of client's requests in this IaaS architecture with heterogeneous virtual machines. It proposes the thought of accomplishing load balancing in this dynamic environment. Firstly, this OPH-LB approach is filtering the qualified hosts among all which accomplishes the requirement of deploying tasks. Then out of those qualified sets, we apply probablistic model which helps to find the most optimal host in terms of its computing capability and its performance function. Further, the performance is analyzed using Cloudsim simulation tool and compared with existing approaches. The results demonstrate that our model has improved the throughput, reduced the failure rate and optimized the attainment of cloud data centers.