Comparative analysis of cloud and fog environment based on network usage and cost of execution using iFogSim

Abstract

The number of IoT devices around the world is increasing exponentially with the growth of technology. But the resources we have at hand may prove difficult to accommodate all of them. To make efficient use of all the resources, we need to ensure that we get maximum output while decreasing network congestion. In this paper, we deal with such an IoT device: CCTV. In our digitised world, 24/7 surveillance has become prevalent through the use of CCTVs and the use of CCTVs will only keep growing. To better use the data from the CCTVs, we run it through video processing and analysis to extract the data we need. This computation is done on a localhost machine which requires the machine to have high specifications to be able to perform such rigorous tasks. This means that a certain machine is dedicated to a certain number of CCTVs. In our paper, we have decided to introduce fog computing to the scenario and compare the results versus the already existing architecture using iFogSim as the simulation medium. The CCTVs will send the footage to the Fog Servers instead of the local machine, where the necessary processing and analysis will be done and the results will be sent to the local machine. This, not only helps in reducing the cost of execution and total network usage from a traditional setup, allows multiple users to reuse the same computational resources in the fog server.