On personalized cloud service provisioning for mobile users using adaptive and context-aware service composition

Elarbi Badidi, Yacine Atif, Quan Z. Sheng, Muthucumaru Maheswaran

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)


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 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.

Original languageEnglish
Pages (from-to)291-318
Number of pages28
Issue number4
Publication statusPublished - Apr 12 2019


  • Adaptive services
  • Composed services
  • Mobile cloud computing
  • Personalization
  • Quality of context

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Software
  • Numerical Analysis
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics


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