IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Distributed Streaming Big Data Analytics for Internet of Things (IoT)

Distributed Streaming Big Data Analytics for Internet of Things (IoT)
View Sample PDF
Author(s): Sornalakshmi Krishnan (SRM University, India)and Kayalvizhi Jayavel (SRM University, India)
Copyright: 2018
Pages: 36
Source title: Handbook of Research on Big Data Storage and Visualization Techniques
Source Author(s)/Editor(s): Richard S. Segall (Arkansas State University, USA)and Jeffrey S. Cook (Independent Researcher, USA)
DOI: 10.4018/978-1-5225-3142-5.ch012

Purchase

View Distributed Streaming Big Data Analytics for Internet of Things (IoT) on the publisher's website for pricing and purchasing information.

Abstract

In this chapter, a discussion on the integration of distributed streaming Big Data Analytics with the Internet of Things is presented. The chapter begins with the introduction of these two technologies by discussing their features and characteristics. Discussion on how the integration of these two technologies benefit in efficient processing of IoT device generated sensor data follows next. Such data centric processing of IoT data powered by cloud, services and other enablers will be the architecture of most of the realtime systems involving sensors and real-time monitoring and actuation. The Volume, Variety and Velocity of sensor generated data make it a Big Data scenario. In addition, the data is real time and requires decisions or actuations immediately. This chapter discusses how IoT data can be processed using distributed, scalable stream processing systems. The chapter is concluded with future directions of such real time Big Data Analytics in IoT.

Related Content

Renjith V. Ravi, Mangesh M. Ghonge, P. Febina Beevi, Rafael Kunst. © 2022. 24 pages.
Manimaran A., Chandramohan Dhasarathan, Arulkumar N., Naveen Kumar N.. © 2022. 20 pages.
Ram Singh, Rohit Bansal, Sachin Chauhan. © 2022. 19 pages.
Subhodeep Mukherjee, Manish Mohan Baral, Venkataiah Chittipaka. © 2022. 17 pages.
Vladimir Nikolaevich Kustov, Ekaterina Sergeevna Selanteva. © 2022. 23 pages.
Krati Reja, Gaurav Choudhary, Shishir Kumar Shandilya, Durgesh M. Sharma, Ashish K. Sharma. © 2022. 18 pages.
Nwosu Anthony Ugochukwu, S. B. Goyal. © 2022. 23 pages.
Body Bottom