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On Personalized Cloud Service Provisioning for Mobile Users Using Adaptive and Context-Aware Service Composition
United Arab Emirates University, Al-Ain, United Arab Emirates.ORCID-id: 0000-0001-9121-8766
Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi. (Distribuerade realtidssystem (DRTS), Distributed Real-Time Systems)ORCID-id: 0000-0002-7312-9089
Macquarie University, New South Wales, Australia .ORCID-id: 0000-0002-3326-4147
McGill University, Montreal, Canada.
2018 (engelsk)Inngår i: Computing, ISSN 0010-485X, E-ISSN 1436-5057, Vol. 101, nr 4, s. 291-318Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Cloud service providers typically compose their services from a number of elementary services, which are developed in- house or built by third-party providers. Personalization of composite services in mobile environments is an interesting and challenging issue to address, given the opportunity to factor-in diverse user preferences and the plethora of mobile devices at use in multiple contexts. This work proposes a framework to address personalization in mobile cloud-service provisioning. Service personalization and adaptation may be considered at different levels, including the user profile, the mobile device in use, the context of the user and the composition specification. The user’s mobile device and external services are typical sources of context information, used in our proposed algorithm to elicit context-aware services. The selection process is guided by quality-of-context (QoC) criteria that combine cloud-service provider requirements and user preferences. Hence, the paper proposes an integrated framework for enhancing personalized mobile cloud-services, based on a composition approach that adapts context information using a common model of service metadata specification.

sted, utgiver, år, opplag, sider
Springer, 2018. Vol. 101, nr 4, s. 291-318
Emneord [en]
Personalization, Adaptive services, Mobile cloud computing, Composed services, Quality of context
HSV kategori
Forskningsprogram
Distribuerade realtidssystem (DRTS)
Identifikatorer
URN: urn:nbn:se:his:diva-15350DOI: 10.1007/s00607-018-0631-8ISI: 000461355200001Scopus ID: 2-s2.0-85048472737OAI: oai:DiVA.org:his-15350DiVA, id: diva2:1214247
Tilgjengelig fra: 2018-06-06 Laget: 2018-06-06 Sist oppdatert: 2019-04-04bibliografisk kontrollert

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