NDLI: Siddhi: a second look at complex event processing architectures

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Siddhi: a second look at complex event processing architectures

Content Provider	ACM Digital Library
Author	Chaturanga, Subash Loku Narangoda, Isuru Perera, Srinath Suhothayan, Sriskandarajah Nanayakkara, Vishaka Gajasinghe, Kasun
Abstract	Today there are so much data being available from sources like sensors (RFIDs, Near Field Communication), web activities, transactions, social networks, etc. Making sense of this avalanche of data requires efficient and fast processing. Processing of high volume of events to derive higher-level information is a vital part of taking critical decisions, and Complex Event Processing (CEP) has become one of the most rapidly emerging fields in data processing. e-Science use-cases, business applications, financial trading applications, operational analytics applications and business activity monitoring applications are some use-cases that directly use CEP. This paper discusses different design decisions associated with CEP Engines, and proposes some approaches to improve CEP performance by using more stream processing style pipelines. Furthermore, the paper will discuss Siddhi, a CEP Engine that implements those suggestions. We present a performance study that exhibits that the resulting CEP Engine--Siddhi--has significantly improved performance. Primary contributions of this paper are performing a critical analysis of the CEP Engine design and identifying suggestions for improvements, implementing those improvements through Siddhi, and demonstrating the soundness of those suggestions through empirical evidence.
Starting Page	43
Ending Page	50
Page Count	8
File Format	PDF
ISBN	9781450311236
DOI	10.1145/2110486.2110493
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2011-11-18
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Events Complex event processing Data processing
Content Type	Text
Resource Type	Article

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