Research Area:  Cloud Computing

Abstract:

Effective VM placement mechanism is needed for Cloud Computing as incoming flow of tasks were dynamic when they are coming onto cloud console. Incoming requests for any cloud console were large in number then there is a chance of decay in quality of service. Quality of service will be degraded when these number of requests were not properly handled i.e. SLA violations and more number of migrations. Quality of Service will be directly affected by these parameters. Many of the authors addressed these metrics but still there is a chance to improve the VM placement in cloud computing. In this paper, we have used a nature inspired algorithm i.e. cuckoo search to design the VM placement strategy and we have used a threshold value to identify the physical host whet her it is overloaded, under loaded or balanced based on the utilization of CPU. Cloudsim toolkit is used as a simulator to conduct simulation and our proposed mechanism minimizes violation of SLA and there is a great improvement in makespan when it was compared with PSO and GA algorithms.

Keywords:  

Author(s) Name:  Sudheer Mangalampalli, Kiran Sree Pokkuluri, G. Naga Satish, Sangram Keshari Swain

Publisher name:  IEEE

DOI:  10.1109/IC3P52835.2022.00057

Volume Information:  volume 2022

Paper Link:   https://ieeexplore.ieee.org/document/9793442