Cloud and Edge Computing for Developing Smart Factory Models using a
iFogSim Wrapper: Transportation Management System (TMS) Case Study
Abstract
The given literature focuses on developing a Smart Factory model
based on Cloud and Edge computing used to develop Transportation
Management System(TMS) using a iFogSim wrapper. Cloud computing
identifies data centres for users and offer computer system services
on-demand, including data storage and processing power, without direct
active user management. In the smart industry, several devices are
connected together across the internet, where vast volumes of data are
collected during the entire process of output. Thus, to handle this data
smart factory based on cloud and edge computing is used. The intelligent
cloud-based factory offers some facility like large scale analysis of
data. Concepts like fog and edge computing play a significant role in
extending data storage and network capacities in the cloud that
addresses some challenges, such as over-full bandwidth and latency. The
literature also focuses on the implementation of TMS using the iFogSim
Simulator. The simulator provides efficient execution of TMS by showing
the amount of resources used which gives an idea regarding optimum use
of resources. All types of data related to TMS is obtained at cloud by
using smart factory like object location, time taken and energy
consumption. To implement the TMS we have created a topology which
displays various devices connected to the cloud which gives necessary
information regarding the ongoing transportation simulation.