Big Data Analytics Platforms for Real-Time Applications in IoT

Yogesh Simmhan () and Srinath Perera ()
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Yogesh Simmhan: Indian Institute of Science, Department of Computational and Data Sciences
Srinath Perera: WSO2

A chapter in Big Data Analytics, 2016, pp 115-135 from Springer

Abstract: Abstract Big data platforms have predominantly focused on the volume aspects of large-scale data management. The growing pervasiveness of Internet of Things (IoT) applications, along with their associated ability to collect data from physical and virtual sensors continuously, highlights the importance of managing the velocity dimension of big data too. In this chapter, we motivate the analytics requirements of IoT applications using several practical use cases, characterize the trade-offs between processing latency and data volume capacity of contemporary big data platforms, and discuss the critical role that Distributed Stream Processing and Complex Event Processing systems play in addressing the analytics needs of IoT applications.

Keywords: Event Stream; Complex Event Processing; Stream Processing System; Smart Power Grid; Ball Possession (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-81-322-3628-3_7

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DOI: 10.1007/978-81-322-3628-3_7

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