International Conference on Service-Oriented Computing

Service-Oriented Computing pp 362-370

A Context-Aware Approach for Personalised and Adaptive QoS Assessments

  • Lina Barakat
  • Adel Taweel
  • Michael Luck
  • Simon Miles
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9435)

Abstract

Given the importance of QoS (quality of service) properties for distinguishing between functionally-equivalent services and accommodating different user expectations, a number of QoS estimation approaches have been proposed, utilising the observation history available on a service. Although the context underlying such previous observations (and corresponding to both user and service related factors) could provide an important source of information for the QoS estimation process, it has only been utilised to a limited extent by existing approaches. In response, we propose a context-aware quality learning model, realised via a learning-enabled service agent, exploiting the contextual characteristics of the domain in order to provide more personalised, accurate and relevant quality estimations for the situation at hand. The experiments conducted demonstrate the effectiveness of the proposed approach.

Keywords

Context awareness Change detection Personalisation Quality value learning 

Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  • Lina Barakat
    • 1
  • Adel Taweel
    • 1
  • Michael Luck
    • 1
  • Simon Miles
    • 1
  1. 1.Department of InformaticsKing’s College LondonLondonUK

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