Load Balancing in Cloud Computing Using Optimization Algorithm

Cloud computing may be viewed as a broad spectrum of networks to connect many private or public networks. Delivering a scalable framework for application, data and file storage is the core of this technology. Cloud systems may malfunction when virtual machines are distributed with excessive load. In this work, a flexible task scheduling strategy based on ACO algorithm has been applied. This strategy can effortlessly assign the task to the most reliable VM (virtual machine). The weight counted on a VM is the measure of its consistency. This work uses MATLAB tool to implement the recommended and old strategies. The simulations are carried out; showing that ACO based task scheduling strategy significantly decreases the total execution time with no performance loss than the existing solutions.