Scalable QoE Prediction for Service Composition

In this paper, we present an approach for scalable QoE estimation/prediction of a composition of given services. The approach relies on using logic circuits/networks for the QoE prediction. Given two logic circuits that predict the QoE values of two service components, we propose a method for synthesizing the resulting logic circuit that predicts the QoE of the overall service composition. As the complexity of this resulting circuit significantly depends on the complexity of an implementation of a MIN function, we present an experimental evaluation of the complexity of the corresponding circuit.

[1]  Athman Bouguettaya,et al.  QoS Analysis for Web Service Compositions with Complex Structures , 2013, IEEE Transactions on Services Computing.

[2]  Eyhab Al-Masri,et al.  Discovering the best web service: A neural network-based solution , 2009, 2009 IEEE International Conference on Systems, Man and Cybernetics.

[3]  Ana R. Cavalli,et al.  Estimation of QoE of video traffic using a fuzzy expert system , 2013, 2013 IEEE 10th Consumer Communications and Networking Conference (CCNC).

[4]  Cédric Bach,et al.  Identifying User Experience Dimensions for Mobile Incident Reporting in Urban Contexts , 2013, IEEE Transactions on Professional Communication.

[5]  Hao Wang,et al.  Solving QoS-driven Web service dynamic composition as fuzzy constraint satisfaction , 2005, 2005 IEEE International Conference on e-Technology, e-Commerce and e-Service.

[6]  Ana R. Cavalli,et al.  Evaluating Web Service Quality Using Finite State Models , 2013, 2013 13th International Conference on Quality Software.

[7]  Hernán Astudillo,et al.  Self-Adaptive Fuzzy QoS-Driven Web Service Discovery , 2011, 2011 IEEE International Conference on Services Computing.

[8]  Maude Manouvrier,et al.  TQoS: Transactional and QoS-Aware Selection Algorithm for Automatic Web Service Composition , 2010, IEEE Transactions on Services Computing.

[9]  Ana R. Cavalli,et al.  QoE Prediction for Multimedia Services: Comparing Fuzzy and Logic Network Approaches , 2014, Int. J. Organ. Collect. Intell..

[10]  Momotaz Begum,et al.  Dynamic Web Service Discovery Model Based on Artificial Neural Network with QoS Support , 2012 .