Research Article
Measuring Quality of Experience in Pervasive Systems Using Probabilistic Context-Aware Approach
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@INPROCEEDINGS{10.1007/978-3-642-29154-8_32, author={Karan Mitra and Arkady Zaslavsky and Christer \AE{}hlund}, title={Measuring Quality of Experience in Pervasive Systems Using Probabilistic Context-Aware Approach}, proceedings={Mobile and Ubiquitous Systems: Computing, Networking, and Services. 7th International ICST Conference, MobiQuitous 2010, Sydeny, Australia, December 6-9, 2010, Revised Selected Papers}, proceedings_a={MOBIQUITOUS}, year={2012}, month={10}, keywords={Context-awareness influence diagrams quality of experience (QoE) quality of service (QoS)}, doi={10.1007/978-3-642-29154-8_32} }- Karan Mitra
Arkady Zaslavsky
Christer Åhlund
Year: 2012
Measuring Quality of Experience in Pervasive Systems Using Probabilistic Context-Aware Approach
MOBIQUITOUS
Springer
DOI: 10.1007/978-3-642-29154-8_32
Abstract
In this paper, we pioneer a context-aware approach for quality of experience (QoE) modeling, reasoning and inferencing in mobile and pervasive computing environments. The proposed model is based upon Context Spaces Theory (CST) and influence diagrams (IDs) to handle uncertain and hidden complex inter-dependencies between user-perceived and network level QoS and to calculate overall QoE of the users. This helps in user-related media, network and device adaptation, creating user-level SLAs and minimizing network churn. We perform experimentation to validate the proposed approach and the results verify its modeling and inferencing capabilities.
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