Change search
ReferencesLink to record
Permanent link

Direct link
Knowledge-driven service orchestration engine for flexible information acquisition in industrial cyber-physical systems
Key Laboratory of System Control and Information Processing, Ministry of Education of China, Department of Automation, Shanghai Jiao Tong University.
Key Laboratory of System Control and Information Processing, Ministry of Education of China, Department of Automation, Shanghai Jiao Tong University.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
Number of Authors: 3
2016 (English)In: IEEE International Symposium on Industrial Electronics, ISIE 2016, Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2016, 1055-1060 p., 7745038Conference paper (Refereed)
Abstract [en]

Cyber-physical systems attract attentions from many domains including industrial automation recently. Cyber-physical production system or industrial cyber-physical system is considered as key to achieve collaborative automation systems. The service-oriented architecture is often linked with industrial cyber-physical systems to lift flexibility and interoperability. By adopting service-oriented architecture in industrial cyber-physical systems, a new way of information acquisition is enabled by dynamically composing services according to requests. In this paper, a knowledge-driven service orchestration engine is introduced for process requests from human or devices and collect information automatically by assembling services dynamically. The service composition process is described using a room lighting system example. Tools required by the service orchestration engine and future development plan are provided

Place, publisher, year, edition, pages
Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2016. 1055-1060 p., 7745038
National Category
Computer Science
Research subject
Dependable Communication and Computation Systems
Identifiers
URN: urn:nbn:se:ltu:diva-61162DOI: 10.1109/ISIE.2016.7745038ScopusID: 2-s2.0-85001129972ISBN: 9781509008735OAI: oai:DiVA.org:ltu-61162DiVA: diva2:1058092
Conference
25th IEEE International Symposium on Industrial Electronics, ISIE 2016, Santa Clara, United States, 8-10 June 2016
Available from: 2016-12-20 Created: 2016-12-20 Last updated: 2016-12-20Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Vyatkin, Valeriy
By organisation
Computer Science
Computer Science

Search outside of DiVA

GoogleGoogle Scholar

Altmetric score

ReferencesLink to record
Permanent link

Direct link