IoT Big Data Analytics - Architecture Design and Use Cases

Authors(1) :-Devinderpal Yadav

As sensors are adopted in almost all the fields of life, the Internet of Things (IoT) is triggering a massive influx of data. It is crucial to have efficient and scalable methods to process this data to gain valuable insight and take timely actions. The future vision of internet is to connect everything, such as connecting things like transportation networks, communication networks, etc. All these data which will be generated by all this connected millions of devices will not be useful without analytic power. Numerous big data, IoT, and analytics solutions have enabled people to obtain valuable insight into large data generated by IoT devices. However, these solutions are still in their infancy, and the domain lacks a comprehensive survey. This paper investigates the state-of-the-art research efforts directed toward big IoT data analytics. The relationship between big data analytics and IoT is explained. Moreover, this paper adds value by proposing a new architecture for big IoT data analytics. This paper will discuss about the possible architecture of the IoT Big data analytics and also will discuss some industry use-cases.

Authors and Affiliations

Devinderpal Yadav
MS in Software Engineering, BITS Pilani, India

Internet of Things (IoT), Big Data Analytics, Distributed Computing, Architecture

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Publication Details

Published in : Volume 6 | Issue 2 | March-April 2019
Date of Publication : 2019-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 630-638
Manuscript Number : IJSRSET196315
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Devinderpal Yadav, " IoT Big Data Analytics - Architecture Design and Use Cases, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 6, Issue 2, pp.630-638, March-April-2019. Citation Detection and Elimination     |     
Journal URL : https://ijsrset.com/IJSRSET196315

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