Data Provenance for Complex Event Processing Invoking Composition of Services

被引：0
作者：
Khalfallah, Malik [1 ]
Ghodous, Parisa [2 ]
机构：
[1] Airbus DS, Toulouse, France
[2] Lyon 1 Univ, Lyon, France
来源：
2020 IEEE 13TH INTERNATIONAL CONFERENCE ON SERVICES COMPUTING (SCC 2020) | 2020年
关键词：
complex event processing; colored petri nets; data provenance; business process management;
D O I：
10.1109/SCC49832.2020.00027
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Data provenance is a fundamental concept in scientific experimentation in general and complex event processing (CEP) in particular. For accurate determination and visualization of data provenance, efficient and user-friendly mechanisms are needed. Research in CEP optimization and visual notations can help in this process. This paper presents the extension of an optimized CEP framework to respond to data provenance requests. The extension consists in enriching the formal representation of execution plans of CEP queries to make them provenance-aware. These provenance-aware execution plans are then queried to generate a visual representation of the provenance data. We present the implementation of this framework and then its deployment and the associated evaluation in the context of an industrial use case.
引用
收藏
页码：142 / 151
页数：10
相关论文
共 39 条
  • [1] Provenance aware run-time verification of things for self-healing Internet of Things applications
    Aktas, Mehmet S.
    Astekin, Merve
    [J]. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2019, 31 (03)
  • [2] Introducing Replaceability into Web Service Composition
    Al-Helal, Hussein
    Gamble, Rose
    [J]. IEEE TRANSACTIONS ON SERVICES COMPUTING, 2014, 7 (02) : 198 - 209
  • [3] Arshad B. e. a, 2015, POSITION PAPER PROVE
  • [4] Belhajjame K., 2013, W3C RECOMMENDATION
  • [5] Benelallam A, 2014, LECT NOTES COMPUT SC, V8569, P230
  • [6] Broda K, 2009, LECT NOTES COMPUT SC, V5859, P112, DOI 10.1007/978-3-642-05408-2_14
  • [7] Davidson S. B., 2018, ENCY DATABASE SYSTEM, VSecond
  • [8] Davidson Susan B, 2008, P 2008 ACM SIGMOD IN, P1345, DOI DOI 10.1145/1376616.1376772
  • [9] de Oliveira D., 2019, P 15 BRAZ S INF SYST
  • [10] Demers A, 2006, LECT NOTES COMPUT SC, V3896, P627
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