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Mobility-Aware Service Composition in Mobile Communities
College of Computer Science and Technology, Zhejiang University, Hangzhou, China.
Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China.
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013). (DISCO, Computer Networking)ORCID iD: 0000-0001-9194-010X
College of Computer Science and Technology, Zhejiang University, Hangzhou, China.
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2017 (English)In: IEEE Transactions on Systems, Man & Cybernetics. Systems, ISSN 2168-2216, E-ISSN 1349-2543, Vol. 47, no 3, p. 555-568Article in journal (Refereed) Published
Abstract [en]

The advances in mobile technologies enable mobile devices to perform tasks that are traditionally run by personal computers as well as provide services to the others. Mobile users can form a service sharing community within an area by using their mobile devices. This paper highlights several challenges involved in building such service compositions in mobile communities when both service requesters and providers are mobile. To deal with them, we first propose a mobile service provisioning architecture named a mobile service sharing community and then propose a service composition approach by utilizing the Krill-Herd algorithm. To evaluate the effectiveness and efficiency of our approach, we build a simulation tool. The experimental results demonstrate that our approach can obtain superior solutions as compared with current standard composition methods in mobile environments. It can yield near-optimal solutions and has a nearly linear complexity with respect to a problem size.

Place, publisher, year, edition, pages
Piscataway, New Jersey, USA: IEEE, 2017. Vol. 47, no 3, p. 555-568
Keywords [en]
Mobile community, mobile Web service, service composition, service-oriented architecture
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-66133DOI: 10.1109/TSMC.2016.2521736OAI: oai:DiVA.org:kau-66133DiVA, id: diva2:1180676
Available from: 2018-02-06 Created: 2018-02-06 Last updated: 2018-06-25Bibliographically approved

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Taheri, Javid

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CiteExportLink to record
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