Abstract

Fog computing provides reliable computing, customized and by guarantee dynamic environments for the end-users, so that more and more people tend to use fog environments every day in their workplace. Virtualization is an integral part of fog. The purpose of using fog computing systems is to minimize the cost of using a virtual machine by service providers and also to maximize revenue from providing service to consumers' applications. Scheduling is a process that considers several parameters simultaneously to optimize the execution of requests in fog computing networks, such as the queue duration of requests and the speed of virtual machine, and the priority of requests, and these parameters result in the success or failure of a request on virtual machine. In this study, we provided a new method of scheduling using ant colony algorithm, which can perform scheduling and execution of tasks with higher quality.