Distributed Streaming Big Data Analytics for Internet of Things (IoT)-Reference-Cited by-同舟云学术

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

Published:2018 Issue: Volume: Page:303-338
ISSN:2327-1981
Container-title:Advances in Data Mining and Database Management
language:
Short-container-title:

Author:

Krishnan Sornalakshmi¹,Jayavel Kayalvizhi¹

Affiliation:

1. SRM University, India

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.

Publisher

IGI Global

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