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Edge analytics on Internet of Things: A Survey

K Ramya Sree*, B. Lalitha**

* Research Scholar, Jawaharlal Nehru Technological University, Anantapur, Andhra Pradesh, India.

** Assistant Professor, Jawaharlal Nehru Technological University, Anantapur, Andhra Pradesh, India.

Periodicity:December - February'2018
DOI : https://doi.org/10.26634/jcom.5.4.14272

Abstract

Internet of Things (IoT) is a system of connected physical objects that are accessible through internet. Values that are allocated to an IP address have the potential to collect and fetch the data over a network, without manual involvement. With continuous developments in Internet of Things (IoT) applications, the conventional computing is facing severe challenges such as high latency, decreased efficiency, long transmission times and increased power consumption. In order to meet these requirements, the data computation and service supply are moved from cloud to edge known as Edge Analytics. An Edge Analytics application utilizes the handling energy of IoT gadgets to channel, pre-process, and total the IoT information. It utilizes the power and adaptability of Cloud administrations to run complex examination on the information, that refers to the enabling technologies allowing computation to be performed at the edge of the network. The term “edge” refers to any computing and network resources along the path between data sources and cloud data centers.

Keywords

Internet of Things (IoT), Edge Analytics, Edge Computing.

How to Cite this Article?

Sree, K.R., and Lalitha, B. (2018). Edge analytics on Internet of Things: A Survey. i-manager’s Journal on Computer Science, 5(4), 36-40. https://doi.org/10.26634/jcom.5.4.14272

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