RSA and SFQ based Secure Heuristic Load Balancing Approach for Cloud Data Centers

Abstract

A unhackneyed multifunctional paradigm is cloud computing. Suppliers of cloud services i.e., with the assistance of these elastic dynamic features, CSPs can efficiently manage the input loads available in the cloud environment in accordance with the end users' dynamic requirements. The effective secure management of loads in the cloud environment gives a rise to introduce new managerial secure methods, which are responsible for security, distributing the loads among all the available VMs dynamically in cloud data centers within a given fixed period of time. To achieve these goals various methodologies are exists in market but most of them are unable to find the optimality as well as the security of resources means they are actually unable to fulfill the dynamic changeable demands of the end users. In this manuscript, we impose an effective as well as efficient load balancing strategy to address these hurdles effectively: a secure heuristic load balancing approach for cloud data centers based on RSA and SFQ. The effective balance of incoming loads in cloud data centers is our approach. With the help of Start Fair Queuing (SFQ) algorithm, we are able to the fair allocation of VMs in our proposed approach. Hence, it maximizes the resource utilization. With the help of RSA algorithm, we are able to take care of security concerns of our proposed approach.