An evaluation of a complex event processing engine

Satoshi Kuboi; Kensuke Baba; Shigeru Takano; Kazuaki Murakami

doi:10.1109/IIAI-AAI.2014.48

An evaluation of a complex event processing engine

Satoshi Kuboi, Kensuke Baba, Shigeru Takano, Kazuaki Murakami

Research output: Contribution to conference › Paper › peer-review

5 Citations (Scopus)

Abstract

Complex event processing (CEP) is a technology for capturing what has happened in the real world from a huge amount of sensor data. This paper evaluates a CEP engine Esper to find an efficient method for CEP. The authors are trying to clarify the factors that affect the throughput of Esper. They investigated the effects on the throughput of the three factors: the input rate, the window size of the algorithm for processing events, and the length of a pattern for matching. The results of the evaluation show that the throughput of Esper is extremely decreased for some algorithms with a large window size and matching with a long pattern.

Original language	English
Pages	190-193
Number of pages	4
DOIs	https://doi.org/10.1109/IIAI-AAI.2014.48
Publication status	Published - Sep 29 2014
Externally published	Yes
Event	3rd IIAI International Conference on Advanced Applied Informatics, IIAI-AAI 2014 - Kitakyushu, Japan Duration: Aug 31 2014 → Sep 4 2014

Conference

Conference	3rd IIAI International Conference on Advanced Applied Informatics, IIAI-AAI 2014
Country/Territory	Japan
City	Kitakyushu
Period	8/31/14 → 9/4/14

ASJC Scopus subject areas

Information Systems

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10.1109/IIAI-AAI.2014.48

Cite this

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abstract = "Complex event processing (CEP) is a technology for capturing what has happened in the real world from a huge amount of sensor data. This paper evaluates a CEP engine Esper to find an efficient method for CEP. The authors are trying to clarify the factors that affect the throughput of Esper. They investigated the effects on the throughput of the three factors: the input rate, the window size of the algorithm for processing events, and the length of a pattern for matching. The results of the evaluation show that the throughput of Esper is extremely decreased for some algorithms with a large window size and matching with a long pattern.",

author = "Satoshi Kuboi and Kensuke Baba and Shigeru Takano and Kazuaki Murakami",

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AU - Baba, Kensuke

AU - Takano, Shigeru

AU - Murakami, Kazuaki

PY - 2014/9/29

Y1 - 2014/9/29

N2 - Complex event processing (CEP) is a technology for capturing what has happened in the real world from a huge amount of sensor data. This paper evaluates a CEP engine Esper to find an efficient method for CEP. The authors are trying to clarify the factors that affect the throughput of Esper. They investigated the effects on the throughput of the three factors: the input rate, the window size of the algorithm for processing events, and the length of a pattern for matching. The results of the evaluation show that the throughput of Esper is extremely decreased for some algorithms with a large window size and matching with a long pattern.

AB - Complex event processing (CEP) is a technology for capturing what has happened in the real world from a huge amount of sensor data. This paper evaluates a CEP engine Esper to find an efficient method for CEP. The authors are trying to clarify the factors that affect the throughput of Esper. They investigated the effects on the throughput of the three factors: the input rate, the window size of the algorithm for processing events, and the length of a pattern for matching. The results of the evaluation show that the throughput of Esper is extremely decreased for some algorithms with a large window size and matching with a long pattern.

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T2 - 3rd IIAI International Conference on Advanced Applied Informatics, IIAI-AAI 2014

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An evaluation of a complex event processing engine

Abstract

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