Please use this identifier to cite or link to this item: https://hdl.handle.net/1822/71220

TitleAn inspection and logging system for complex event processing in Bosch’s industry 4.0 movement
Author(s)Andrade, Carina
Cardoso, Maria
Costa, Carlos A. P.
Santos, Maribel Yasmina
KeywordsBig data
Complex event processing
Graph database
Monitoring
Issue date2020
PublisherSpringer
JournalLecture Notes in Business Information Processing
CitationAndrade C., Cardoso M., Costa C., Santos M.Y. (2020) An Inspection and Logging System for Complex Event Processing in Bosch’s Industry 4.0 Movement. In: Themistocleous M., Papadaki M., Kamal M.M. (eds) Information Systems. EMCIS 2020. Lecture Notes in Business Information Processing, vol 402. Springer, Cham. https://doi.org/10.1007/978-3-030-63396-7_4
Abstract(s)Currently, it is possible to have machines producing relevant data to be processed in real-time, facilitating the organizational decision-making. In recent works, we proposed a system that integrates Complex Event Processing (CEP) in the Big Data era, trying to make Industry 4.0 systems more pro-active. Due to its complexity when running in industrial contexts, appropriate monitoring mechanisms need to be ensured to prevent the uncontrolled growth of the system. In this context, this work focuses on proposing a system architecture that will enable an innovative monitoring strategy based on graph analysis, namely the Intelligent Event Broker (IEB) Mapping and Drill-down System. In this work, it is proposed an inspection and logging strategy for the IEB that allows to not only continuously inspect the codebase of the system and fuel an ever-growing Graph Database, but also to strategically store log occurrences to know what is continuously happening. For demonstrating the architecture and design rules, we use a context from Bosch Portugal presenting a flowchart and a graph data model, being the latter a mirror of all the implemented IEB components and the relationships between them. This work helps researchers and practitioners in the design and development of CEP systems for Big Data contexts and, especially, the monitoring component of such a complex system.
TypeConference paper
URIhttps://hdl.handle.net/1822/71220
ISBN978-3-030-63395-0
e-ISBN978-3-030-63396-7
DOI10.1007/978-3-030-63396-7_4
ISSN1865-1348
Publisher versionhttps://link.springer.com/chapter/10.1007%2F978-3-030-63396-7_4
Peer-Reviewedyes
AccessRestricted access (UMinho)
Appears in Collections:CAlg - Artigos em livros de atas/Papers in proceedings

Files in This Item:
File Description SizeFormat 
EMCIS_2020_CA_et_al.pdf
  Restricted access
7,86 MBAdobe PDFView/Open

Partilhe no FacebookPartilhe no TwitterPartilhe no DeliciousPartilhe no LinkedInPartilhe no DiggAdicionar ao Google BookmarksPartilhe no MySpacePartilhe no Orkut
Exporte no formato BibTex mendeley Exporte no formato Endnote Adicione ao seu ORCID