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Software Technology Research
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App. Res. of Comp. Printed Article
Vol. 41, 2024 No. 10
3100-3109

Multi-aggregate query sharing method in complex event processing

Dong Panpan
Su Hang
Gao Hongyu
Faculty of Information, Beijing University of Technology, Beijing 100124, China
DOI: 10.19734/j.issn.1001-3695.2024.02.0037

Abstract

Complex event processing technology is a streaming data processing technique that detects specific event sequences or performs statistics on matching events in continuously flowing data. When processing trend aggregation queries with Kleene operators, caching intermediate results is necessary to match an indefinite number of event sequences, thus requiring significant resources from the query system. Exploiting opportunities for sharing among multiple queries, generating shared plans to guide query processing can effectively enhance the processing efficiency of trend aggregation queries. However, existing methods for handling aggregate queries do not dynamically adjust the generated shared plans in real-time to support continuous and efficient processing of complex event detection in response to changes in the execution environment. Addressing these issues, this paper proposed a dynamically updatable method for multiple aggregate query sharing to support the continuous and efficient processing of real-time changing complex event detection. By introducing the shared graph data structure and cost model, this method achieved real-time adjustment of the generated shared plans. And by using the online incremental aggregation execution sharing method, it further enhanced the processing efficiency of event trend aggregation queries with Kleene operators. This paper conducted experiments on both real and simulated datasets, compared the method with other approaches for handling aggregate queries. The results of the experiments indicate that the method effectively reduces query latency and improves the overall processing performance of queries.

Foundation Support

北京市属高等学校高水平教学创新团队建设支持计划资助项目

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.02.0037
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 10
Section: Software Technology Research
Pages: 3100-3109
Serial Number: 1001-3695(2024)10-031-3100-10

Publish History

[2024-07-04] Accepted Paper
[2024-10-05] Printed Article

Cite This Article

董攀攀, 苏航, 高红雨. 复杂事件处理中多聚合查询共享方法 [J]. 计算机应用研究, 2024, 41 (10): 3100-3109. (Dong Panpan, Su Hang, Gao Hongyu. Multi-aggregate query sharing method in complex event processing [J]. Application Research of Computers, 2024, 41 (10): 3100-3109. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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