International Institute for Science, Technology and Education
Cloud computing is becoming more and more popular in organizations around the world as it allows sharing of computing resources that are distributed all over the world. It is generally used for on-demand storage and processing power. In this paper, the authors propose an optimized scheduling algorithm for cloud services. They propose a Genetic Algorithm for optimum allocation of Virtual Machines (VMs) that permit maximum usage of physical resources. They describe the fitness function and the GA operators in detail and how they manipulate the problem space.