Open AccessENHANCED EDGE MODEL FOR BIG DATA IN THE INTERNET OF THINGS BASED APPLICATIONS
Author(s) -
Pasumpon Pandian A
Publication year - 2019
Publication title -
journal of trends in computer science and smart technology
Language(s) - English
Resource type - Journals
ISSN - 2582-4104
DOI - 10.36548/jtcsst.2019.1.006
Subject(s) - cloud computing , computer science , big data , edge computing , enhanced data rates for gsm evolution , internet of things , task (project management) , the internet , edge device , distributed computing , computer security , world wide web , artificial intelligence , data mining , operating system , engineering , systems engineering
The edge computing that is an efficient alternative of the cloud computing, for handling of the tasks that are time sensitive, has become has become very popular among a vast range of IOT based application especially in the industrial sides. The huge amount of information flow and the services requisition from the IOT has made the traditional cloud computing incompatible on the time of big data flow. So the paper proposes an enhanced edge model for the by incorporating the artificial intelligence along with the integration of caching to the edge for handling of the big data flow in the applications of the internet of things. The performance evaluation of the same in the network simulator 2 for enormous flow of task that are time sensitive , evinces that the proposed method has a minimized delay compared the traditional cloud computing models.