Toward a real-time framework in cloudlet-based architecture

O. Kotevska, A. Lbath, S. Bouzefrane

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

In this study, we present a framework based on a prediction model that facilitates user access to a number of services in a smart living environment. Users must be able to access all available services continuously equipped with mobile devices or smart objects without being impacted by technical constraints such as performance or memory issues, regardless of their physical location and mobility. To achieve this goal, we propose the use of cloudlet-based architecture that serves as distributed cloud resources with specific ranges of influence and a realtime processing framework that tracks events and preferences of the end consumers, predicts their requirements, and recommends services to optimize resource utilization and service response time.

Original languageEnglish
Article number7399285
Pages (from-to)80-88
Number of pages9
JournalTsinghua Science and Technology
Volume21
Issue number1
DOIs
StatePublished - Feb 1 2016
Externally publishedYes

Keywords

  • Real-time
  • cloudlet
  • framework
  • prediction
  • recommendations
  • smart city

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