A New Approach for Optimal Placement of Virtual Machines in Cloud Datacenters Using Discrete Gravitational Search Algorithm and Chaotic Functions

Placement of virtual machines on physical machines in cloud computing infrastructure is an important issue. Our approach for placement of virtual machines includes a mapping process of this machines on physical machines in cloud datacenters. Optimal placement results in lower power consumption, optimal usage of resources, traffic reduce in datacenters, decrease in costs and also increase in functionality of datacenters in cloud datacenters. In this paper we propose a discrete gravitational search algorithm and chaotic function for placement of virtual machines on physical machines in cloud datacenters. Our primary goal for proposing the approach is minimizing resource wastage, power consumption and network links. At the end of this paper we also compare our results with some other metaheuristic algorithms. Our results show that this approach is more effective than previous algorithms. by optimal placement in cloud datacenter, we can get best performance of our devices. Also we can do it by chaotic functions.