High-Performance Composite Event Monitoring System Supporting Large Numbers of Queries and Sources
This paper presents a novel data structure, called Event-centric Composable Queue (ECQ), a basic building block of a new scalable composite event monitoring (CEM) framework, SCEMon. In particular, we focus on the scalability issues when large numbers of CEM queries and event sources exist in upcomin...
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sg-smu-ink.sis_research-30802016-11-08T09:32:05Z High-Performance Composite Event Monitoring System Supporting Large Numbers of Queries and Sources LEE, SangJeong LEE, Youngki KIM, Byoungjip CANDAN, K. Selcuk RHEE, Yunseok SONG, Junehwa This paper presents a novel data structure, called Event-centric Composable Queue (ECQ), a basic building block of a new scalable composite event monitoring (CEM) framework, SCEMon. In particular, we focus on the scalability issues when large numbers of CEM queries and event sources exist in upcoming CEM environments. To address these challenges effectively, we take an event-centric sharing approach rather than dealing with queries and sources separately. ECQ is a shared queue, which stores incoming event instances of a primitive event class. ECQs are designed to facilitate efficient shared evaluations of multiple queries over very large volumes of event streams from numerous event sources. ECQs are composable and form a single shared network within which multiple queries are simultaneously evaluated. In this paper, we present efficient shared processing techniques operating on top of the proposed shared ECQ network. The performance evaluation shows that the proposed approach achieves a high level of scalability compared to conventional separate processing approaches in large-scale CEM environments. 2011-06-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/2081 info:doi/10.1145/2002259.2002280 https://ink.library.smu.edu.sg/context/sis_research/article/3080/viewcontent/p137_lee.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University composite event monitoring event streams scalable processing Software Engineering |
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composite event monitoring event streams scalable processing Software Engineering LEE, SangJeong LEE, Youngki KIM, Byoungjip CANDAN, K. Selcuk RHEE, Yunseok SONG, Junehwa High-Performance Composite Event Monitoring System Supporting Large Numbers of Queries and Sources |
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This paper presents a novel data structure, called Event-centric Composable Queue (ECQ), a basic building block of a new scalable composite event monitoring (CEM) framework, SCEMon. In particular, we focus on the scalability issues when large numbers of CEM queries and event sources exist in upcoming CEM environments. To address these challenges effectively, we take an event-centric sharing approach rather than dealing with queries and sources separately. ECQ is a shared queue, which stores incoming event instances of a primitive event class. ECQs are designed to facilitate efficient shared evaluations of multiple queries over very large volumes of event streams from numerous event sources. ECQs are composable and form a single shared network within which multiple queries are simultaneously evaluated. In this paper, we present efficient shared processing techniques operating on top of the proposed shared ECQ network. The performance evaluation shows that the proposed approach achieves a high level of scalability compared to conventional separate processing approaches in large-scale CEM environments. |
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text |
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LEE, SangJeong LEE, Youngki KIM, Byoungjip CANDAN, K. Selcuk RHEE, Yunseok SONG, Junehwa |
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LEE, SangJeong LEE, Youngki KIM, Byoungjip CANDAN, K. Selcuk RHEE, Yunseok SONG, Junehwa |
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LEE, SangJeong |
title |
High-Performance Composite Event Monitoring System Supporting Large Numbers of Queries and Sources |
title_short |
High-Performance Composite Event Monitoring System Supporting Large Numbers of Queries and Sources |
title_full |
High-Performance Composite Event Monitoring System Supporting Large Numbers of Queries and Sources |
title_fullStr |
High-Performance Composite Event Monitoring System Supporting Large Numbers of Queries and Sources |
title_full_unstemmed |
High-Performance Composite Event Monitoring System Supporting Large Numbers of Queries and Sources |
title_sort |
high-performance composite event monitoring system supporting large numbers of queries and sources |
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Institutional Knowledge at Singapore Management University |
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2011 |
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https://ink.library.smu.edu.sg/sis_research/2081 https://ink.library.smu.edu.sg/context/sis_research/article/3080/viewcontent/p137_lee.pdf |
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