Improving performance of IoT applications using edge computing

This paper describes about various paradigms of Edge Computing (EC) for applications of Internet of Things (IoT), as the data generated by IoT is huge in amount thus the need of Big Data and Cloud was identified. Cloud Computing (CC) started to face the problem of latency, higher bandwidth, response...

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Bibliographic Details
Main Authors: Gaikwad, Vijay, Patel, Nehali, Dhikale, Aarti, Utekar, Sejal, Dogra, Manik
Format: Conference Proceeding
Language:English
Subjects:
Big Data
Cloud computing
Edge computing
Internet of Things
Mobile computing
Network latency
Online Access:Get full text
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Summary:This paper describes about various paradigms of Edge Computing (EC) for applications of Internet of Things (IoT), as the data generated by IoT is huge in amount thus the need of Big Data and Cloud was identified. Cloud Computing (CC) started to face the problem of latency, higher bandwidth, response time, security etc. and this was the moment where it was realized that EC can be a better alternative. Limitations caused due to CC were recovered by EC. This paper discusses about four important platforms of EC that is Cloudlet, Fog Computing, Mobile Edge Computing (MEC) and FemtoCloud. The working and applications are also described in the proposed work. Comparison of these four platforms is presented and important conclusions are drawn to identify the paradigm which can work on diverse platforms as well as provide efficient nodal communication.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0186979