Authors :
Aafreen Qureshi; Dr. Gaurav Indra
Volume/Issue :
Volume 7 - 2022, Issue 12 - December
Google Scholar :
https://bit.ly/3IIfn9N
Scribd :
https://bit.ly/3IKP9ap
DOI :
https://doi.org/10.5281/zenodo.7525315
Abstract :
With the use of edge technology, cloud
resources (particularly computing, storage, and
network) will be made available in close proximity to
edge devices, or smart gadgets where data is generated
and consumed. Edge computing and edge analytics are
two new ideas in edge technology that have emerged as a
result of computer and application integration in edge
devices. To examine the information produced through
edge gadgets, edge analytics employs a number of
methods or algorithms. The development of edge
analytics has made the edge gadgets a whole set. Edge
analytics is currently unable to fully accomodate the
analytic methodologies. Due to several limitations like a
low power supply, a tiny memory, a lack of resources,
etc., the edge gadgets cannot conduct complex and
refined analytic algorithms. The purpose of this paper is
to give a thorough explanation of edge analytics. The
following are the paper's main contributions: a detailed
description of the differences among the three edge
technology ideas of edge gadgets, edge computing, and
edge analytics, as well as their problems. The article also
examines how edge analytics are being used in numerous
industries, including retail, agriculture, industry, and
healthcare, to solve a variety of issues. Additionally, the
research papers based on cutting-edge analytics are
thoroughly examined in this article to analyse the
current problems, new difficulties, research prospects, as
well as utilizations.
Keywords :
Edge Analytics, Edge Gadgets, Big Data, Sensor, Edge Computing, AI, ML, Health-Care.
With the use of edge technology, cloud
resources (particularly computing, storage, and
network) will be made available in close proximity to
edge devices, or smart gadgets where data is generated
and consumed. Edge computing and edge analytics are
two new ideas in edge technology that have emerged as a
result of computer and application integration in edge
devices. To examine the information produced through
edge gadgets, edge analytics employs a number of
methods or algorithms. The development of edge
analytics has made the edge gadgets a whole set. Edge
analytics is currently unable to fully accomodate the
analytic methodologies. Due to several limitations like a
low power supply, a tiny memory, a lack of resources,
etc., the edge gadgets cannot conduct complex and
refined analytic algorithms. The purpose of this paper is
to give a thorough explanation of edge analytics. The
following are the paper's main contributions: a detailed
description of the differences among the three edge
technology ideas of edge gadgets, edge computing, and
edge analytics, as well as their problems. The article also
examines how edge analytics are being used in numerous
industries, including retail, agriculture, industry, and
healthcare, to solve a variety of issues. Additionally, the
research papers based on cutting-edge analytics are
thoroughly examined in this article to analyse the
current problems, new difficulties, research prospects, as
well as utilizations.
Keywords :
Edge Analytics, Edge Gadgets, Big Data, Sensor, Edge Computing, AI, ML, Health-Care.
