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https://hdl.handle.net/1822/71220
Título: | An inspection and logging system for complex event processing in Bosch’s industry 4.0 movement |
Autor(es): | Andrade, Carina Cardoso, Maria Costa, Carlos A. P. Santos, Maribel Yasmina |
Palavras-chave: | Big data Complex event processing Graph database Monitoring |
Data: | 2020 |
Editora: | Springer |
Revista: | Lecture Notes in Business Information Processing |
Citação: | Andrade 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 |
Resumo(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. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/71220 |
ISBN: | 978-3-030-63395-0 |
e-ISBN: | 978-3-030-63396-7 |
DOI: | 10.1007/978-3-030-63396-7_4 |
ISSN: | 1865-1348 |
Versão da editora: | https://link.springer.com/chapter/10.1007%2F978-3-030-63396-7_4 |
Arbitragem científica: | yes |
Acesso: | Acesso restrito UMinho |
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Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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EMCIS_2020_CA_et_al.pdf Acesso restrito! | 7,86 MB | Adobe PDF | Ver/Abrir |