Volume 18, No. 6, 2021
Performance Calculation On Virtual Machine Using Advanced Artificial Bee Colony Optimization Algorithm
Abdul Razaak MP , Mohamed Divan Masood
Abstract
Cloud computational intends computational services and memory and get into use of information on the Internet. CC will not store any selective info on PC. The essential objective of cloud is to provide access to the users from data centers. Remote servers are also provide to get the information from CC. The essential project behind cloud computing is that the location of the service and countless details as an sample the hardware and the functions of the design on which the service is running have runt to attain with the user. In this study, a new planning model is proposed as an advanced artificial bee colony optimization method (AABCO). Many virtual technologies make use of cloud data centers, which have the advantage of allowing multiple virtual machines to run on a single server. Deploying a VM is the process of assigning a VM to the appropriate physical machine. The VM integration is used for the improvement of resource utilization for saving even more power using Efficient virtual machine deployment solutions. The old-bee algorithm mimics the bee foraging strategy to track down the finest solution to the optimization problem. The proposed AABCO implements an efficient way to identify the best VM with the lowest power consumption. Simulation results show that AABCO algorithms achieve effective results with a minimum energy consumption of 85%. Furthermore, simulation findings disclose that the recommended AABCO plan remarkably is less power than ABC and SPSO.
Pages: 5207-5221
Keywords: Cloud Computing’s, Virtual Machine Placements, Advanced Artificial Bee Colony Optimizations, Artificial-Bee Colony (ABC), Standard Particle Swarm Optimizations (SPSO).