Complex Event Processing in Big Data Systems

Dinkar Sitaram () and K. V. Subramaniam
Additional contact information
Dinkar Sitaram: PES University
K. V. Subramaniam: PES University

A chapter in Big Data Analytics, 2016, pp 137-161 from Springer

Abstract: Abstract Complex event processing is used to solve many problems arising in interdisciplinary areas of computing where data is gathered from different sources and at different intervals. The advent of IoT has necessitated this approach of processing data in real time rather than using a store and compute model. In this chapter, we classify various complex event processing mechanisms and describe complex event models.

Keywords: Event Processing; Query Plan; Valid Time; Sport Video; Complex Event Processing (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-81-322-3628-3_8

Ordering information: This item can be ordered from
http://www.springer.com/9788132236283

DOI: 10.1007/978-81-322-3628-3_8

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().