Cloudlet and Virtual Machine Performance Enhancement With CLARA and Evolutionary Paradigm

Abstract

The standardised IT paradigm pools services together as an internet network is cloud computing. So, management of the load by cloud providers at this point is difficult and hence manifests the existence of load balancing concept. The aim of proposed algorithm is to enhance the performance by minimizing results, which includes Execution time, Makespan time, and Processing Cost, and maximizing throughput, using ABC Optimization. R code is used to execute the algorithm, and dataset is processed using Microsoft Excel 2007. In the dataset, the MIPS of VMs range from 2000-9000 and bandwidth range from 10000-50000. Finally, it is concluded that, for 3 clusters, the efficiency rate of execution time, makespan time, and processing cost lies between 18%-20% and throughput and degree of imbalance are approximately 16% and 6%, respectively, when compared with the previous work; and for 10 clusters, the efficiency rate of execution time and makespan time raises to approximately 50% with processing cost, throughput, and degree of imbalance as approximately 72%, 33%, and 4%, respectively.