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Agent-based Business Process Orchestration for IoT
Umeå University, Faculty of Science and Technology, Department of Computing Science. Signavio GmbH, Berlin, Germany. (Interactive and Intelligent Systems Group)ORCID iD: 0000-0002-6458-2252
Department of Computer Science, Aalto University, Helsinki, Finland.ORCID iD: 0000-0002-9303-655X
Umeå University, Faculty of Science and Technology, Department of Computing Science. (Explainable AI (XAI) Group)ORCID iD: 0000-0002-8078-5172
2019 (English)In: WI '19 IEEE/WIC/ACM International Conference on Web Intelligence / [ed] Payam Barnaghi, Georg Gottlob, Yannis Manolopoulos, Theodoros Tzouramanis, Athena Vakali, New York: ACM Press, 2019, p. 393-397Conference paper, Published paper (Refereed)
Abstract [en]

The so-called Internet of Things is of increasing importance for facilitating productivity across industries, i.e., by connecting sensors with manufacturing lines and IT system landscapes with an increasing degree of autonomy. In this context, a common challenge is enabling reasonable trade-offs between structure and control on the one hand and flexibility and human-like intelligent behavior on the other hand. To address this challenge, we establish the need for and requirements of a hybrid IoT-/agent-based business process orchestration architecture that utilizes open standards. We propose a four-layered architecture, which integrates autonomous agents and business process orchestration for IoT/agents, and provide a running example for a supply chain management (purchasing) use case.

Place, publisher, year, edition, pages
New York: ACM Press, 2019. p. 393-397
Keywords [en]
Business Process Management, Internet of Things, Orchestration
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:umu:diva-164713DOI: 10.1145/3350546.3352554ISBN: 978-1-4503-6934-3 (print)OAI: oai:DiVA.org:umu-164713DiVA, id: diva2:1366310
Conference
IEEE/WIC/ACM International Conference on Web Intelligence, October 14–17, 2019, Thessaloniki, Greece
Funder
Wallenberg AI, Autonomous Systems and Software Program (WASP)Available from: 2019-10-28 Created: 2019-10-28 Last updated: 2019-11-04Bibliographically approved

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Kampik, TimotheusFrämling, Kary

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CiteExportLink to record
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