One-to-Many Negotiation QoE Management Mechanism for End-User Satisfaction

Amro Najjar*, Yazan Mualla, Kamal Deep Singh, Gauthier Picard, Davide Calvaresi, Avleen Malhi, Stephane Galland, Kary Framling

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

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Abstract

Quality of Experience (QoE) is defined as the measure of end-user satisfaction with the service. Most of the existing works addressing QoE-management rely on a binary vision of end-user satisfaction. This vision has been criticized by the growing empirical evidence showing that QoE is rather a degree. This article aims to go beyond the binary vision and propose a QoE management mechanism. We propose a one-to-many negotiation mechanism allowing the provider to undertake satisfaction management: to meet fine-grained user QoE goals, while still minimizing the costs. This problem is formulated as an optimization problem, for which a linear model is proposed. For reference, a generic linear program solver is used to find the optimal solution, and an alternative heuristic algorithm is devised to improve the responsiveness when the system has to scale up with a fast-growing number of users. Both are implemented and experimentally evaluated against state-of-the-art one-to-many negotiation frameworks.

Original languageEnglish
Article number9399149
Pages (from-to)59231-59243
Number of pages13
JournalIEEE Access
Volume9
DOIs
Publication statusPublished - 2021
MoE publication typeA1 Journal article-refereed

Keywords

  • end-user satisfaction
  • linear model
  • multiagent systems
  • One-to-many negotiation mechanism
  • quality of experience

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