Enhanced Multi-Objective based Resource Allocation using Framework Creation in Cloud Computing

Abstract

On-demand applications are to be distributed seamlessly in a cloud computing environment, depending on the user's needs. Service distribution is an interesting facet of cloud technology study. This is a mechanism that helps users to benefit from cloud providers as a metered utility in the cloud. The cloud administrator is responsible for efficiently allocating available resources to the execution tasks, thus improving the performance of the system while reducing energy consumption and providing reliable resources most of the existing research work only take one aspect and neglects their interconnections. Thus, a dynamic approach is built to solve this limitation by leveraging all the QoS output to make reasonable use of the capital. The technique utilized is an algorithm for load balancing, depending on the actions of bees. For this, we provide real-time eucalyptus cloud-based performance with network design and related operations being conducted and evaluated. Innovative tests show the effectiveness of the algorithm in terms of computational time, reaction time, makespan, load variability, and level of imbalances.