Artifact-Driven Process Monitoring at Scale

Giovanni Meroni, Szabolcs Garda

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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Abstract

Artifact-driven process monitoring is an effective technique to autonomously monitor business processes. Instead of requiring human operators to notify when an activity is executed, artifact-driven process monitoring infers this information from the conditions of physical or virtual objects taking part in a process. However, SMARTifact, the existing monitoring platform implementing this technique, has been designed to run entirely on edge devices, each of which can monitor only one execution of the process. Thus, monitoring multiple executions at the same time, or reducing the computational requirements of edge devices is not possible. In this paper, we introduce a new artifact-driven monitoring platform that overcomes these limitations and makes artifact-driven monitoring fully scalable.
Original languageEnglish
Title of host publicationProceedings of 21st International Conference on Service-Oriented Computing
PublisherSpringer
Publication date2023
Pages3-12
ISBN (Print)978-3-031-48423-0
DOIs
Publication statusPublished - 2023
Event21st International Conference on Service-Oriented Computing - Sapienza Università di Roma, Rome, Italy
Duration: 28 Nov 20231 Dec 2023
https://icsoc2023.diag.uniroma1.it/

Conference

Conference21st International Conference on Service-Oriented Computing
LocationSapienza Università di Roma
Country/TerritoryItaly
CityRome
Period28/11/202301/12/2023
Internet address
SeriesLecture Notes in Computer Science
Volume14420
ISSN0302-9743

Keywords

  • Process monitoring
  • Scalability
  • Fog computing

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