A study on modified PSO algorithm in cloud computing
Mohd Farhan Ngatman, Johan Mohd Sharif, Md Asri Ngadi · 2017
In today's IT industry, cloud computing has become trending and a driving force. Many services are offered by IT vendors and supported by service level agreements and uptime assurance such as storage services, computations and hosting services covering multiple continents. One of the challenging issues is to have efficient task scheduling algorithm for cloud computing. Particle Swarm Optimization (PSO) is among of the best scheduling algorithm in cloud computing. However, PSO has generated the first population, which is produced randomly. As randomness decreases the probability of the algorithm to converge to the best solution. This paper surveys the existing of modified PSO scheduling algorithms to solve randomly issue in cloud computing environment. The comparison shows that the modified algorithm successfully make some improvement compared with standard PSO.