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A Bargaining Nash Game Based Adaptive Negotiation of Context Level Agreements for Pervasive Systems

  • Hayat RoutaibEmail author
  • Elarbi Badidi
  • Essaid Sabir
  • Mohammed ElKoutbi
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 366)

Abstract

With the growing popularity of Internet-enabled devices, the impressive progress in sensing technology, and the adoption of cloud computing for provisioning services, users increasingly demand services that can adapt to their recent context. In this paper, we propose a multi-attributes and adaptive approach for Context Level Agreements (CLAs) negotiation between a context provider and a context consumer using a context broker. The approach employs a Nash bargaining model and evaluates the global utility of each party as a linear function of normalized Quality of Context (QoC) attributes during the rounds of negotiation. The ultimate goal is to improve context-based adaptation of context-aware applications and services. One of the advantages of this approach is that it permits to resolve conflicts of interests between the context provider and the context consumer when the global utility of each party reaches a Pareto optimum.

Keywords

CLA QoC Nash bargaining Pareto optimum 

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© Springer Science+Business Media Singapore 2016

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 2.5 International License (http://creativecommons.org/licenses/by-nc/2.5/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Authors and Affiliations

  • Hayat Routaib
    • 1
    Email author
  • Elarbi Badidi
    • 2
  • Essaid Sabir
    • 3
  • Mohammed ElKoutbi
    • 1
  1. 1.MIS Team, ENSIASMohammed V UniversityRabatMorocco
  2. 2.College of Information TechnologyUAE UniversityAl AinUAE
  3. 3.UBICOM Research Group, ENSEMHassan II UniversityCasablancaMorocco

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