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Title: Effective data management and real-time analytics in internet of things

Authors: N. Jeba; S. Rathi

Addresses: Department of Computer Science and Engineering, Kumaraguru College of Technology, Coimbatore – 641049, India ' Department of Computer Science and Engineering, Government College of Technology, Coimbatore – 641013, India

Abstract: Integrating various embedded devices and systems in our socio-economic living environment enables internet of things (IoT) for smart cities. The underlying IoT infrastructure of smart and connected cities would generate enormous amount of heterogeneous data that are either big in nature or fast and real-time data streams that can be leveraged for safety and efficient living of the inhabitants. Real-time analytics on data enable to extract useful information from the voluminous data and provide information to users for decision making and help in feedback mechanism. In this paper, the effective management of heterogeneous data and real-time analytics on data are studied. Data management deals with collecting and storing useful information to reduce manual tasks. Therefore, data management techniques should be consistent, interoperable and ensure reusability and integrity. We have explained the various architectures that can be used to deploy IoT in neural networks and the various streaming techniques for real-time analytics.

Keywords: real-time analytics; data management; heterogeneous data; internet of things; IoT.

DOI: 10.1504/IJCC.2021.113994

International Journal of Cloud Computing, 2021 Vol.10 No.1/2, pp.112 - 128

Received: 03 Jun 2019
Accepted: 09 Feb 2020

Published online: 15 Mar 2021 *

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