Optimized task scheduling on fog computing environment using meta heuristic algorithms

Abstract

Task scheduling in fog computing is tackled with the use of different kinds of algorithms in general but this paper implements a meta-heuristic based approach. Fog computing is increasingly being adopted because it reduces latency and improves performance. Compared to the cloud data centers that are resource enriched , fog nodes don't have the same luxury and hence with the additional constraint of coordinating a distributed network, task scheduling in Fog Computing is not a trivial task. Since we only have limited capacity in the system, we use meta heuristic algorithms which guarantee a solution to the optimization problem posed here. Here the main research problem was to minimize the energy used in a fog environment.