Open AccessSimplified swarm optimization for optimal deployment of fog computing system of industry 4.0 smart factory
Author(s) -
Wei-Chang Yeh,
Chyh-Ming Lai,
Jr-Yu Tsai
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1411/1/012005
Subject(s) - cloud computing , software deployment , factory (object oriented programming) , computer science , edge computing , metaheuristic , distributed computing , integer programming , data center , enhanced data rates for gsm evolution , edge device , minification , real time computing , embedded system , operating system , algorithm , artificial intelligence , programming language
Fog computing is an emerging technology that can reduce the load on cloud system and decentralize computing resource, thus increasing response speed and reducing time delay. More and More environments in order to achieve intelligence, collect massive amounts of data though IOT devices. Considering deploying fog computing system in these environments can make system faster and more robust. This work creates a simulated factory consisting of a cloud center, gateways, fog devices, edge devices, and different types of sensors. We build an integer programming model and apply metaheuristic method for determining the layout of above devices except of cloud center and all sensors so that can find the cost minimization deployment of the smart factory.