Intelligent use of fog devices in edge-cloud paradigm to assist in E-polling

摘要

Internet is playing a vital role in providing information to billions of people around the world.It is the fastest way to communicate information worldwide. Over the years, information technologyhas provided solutions to many problems in different domains of life.With the advent ofcloud computing and the internet of things (IOT), most of these domains are now employing cloudnetworks to save resources and money. Cloud provides a platform to store and process informationwith minimal resources and investment. Due to the vast geographical distribution and largedistances between the cloud networks and the end user nodes, transmission of data over cloudnetworks provides problems of latency and delay that can cause major hazards in applicationsthat require real-time processing. In order to analyze the issues related to slowo response fromClouds, a case study based on a mock E-poll held under the Election commission of Pakistan isanalyzed, and a remedy to the latency experienced during the polling process has been suggested.It involves the use of the newly proposed Fog Computing Paradigm to allow fast processing ofreal-time data. This paper provides a solution to latency issues in cloud networks by proposing anintelligent way of identifying which data can be processed on close-proximity Fog networks andwhich can be sent to the cloud for bulk processing. The aim is to reduce the time consumed forreal-time processing over the traditional cloud setup.