Quality of Experience as a Selection Criterion for Web Services

QoS indicators are commonly used when selecting Web Services (WSs) between different providers. However, typical QoS parameters do not reflect the subjective `performance' perceived by the end-users of the service, commonly called the Quality of Experience (QoE) of the service. In this paper, we describe a novel approach for using the QoE as a criterion for WS selection, including an analysis of the different influence factors affecting the perceived quality and a methodology for measuring QoE and establishing a correlation model between QoS/QoE. Furthermore, some real experiments with a set of end-users have been performed and interesting results illustrated.

[1]  Vincent Barriac,et al.  Standardization activities in the ITU for a QoE assessment of IPTV , 2008, IEEE Communications Magazine.

[2]  Shuping Ran,et al.  A model for web services discovery with QoS , 2003, SECO.

[3]  Thomas Risse,et al.  Combining global optimization with local selection for efficient QoS-aware service composition , 2009, WWW '09.

[4]  Ergonomic requirements for office work with visual display terminals ( VDTs ) — Part 11 : Guidance on usability , 1998 .

[5]  METHODS FOR SUBJECTIVE DETERMINATION OF TRANSMISSION QUALITY Summary , 2022 .

[6]  Leon Sterling,et al.  Quality of service for web services , 2004 .

[7]  Zheng Zhou,et al.  Development and validation of an instrument to measure user perceived service quality of information presenting Web portals , 2005, Inf. Manag..

[8]  Tubagus Maulana Kusuma,et al.  Reduced-reference metric design for objective perceptual quality assessment in wireless imaging , 2009, Signal Process. Image Commun..

[9]  Schahram Dustdar,et al.  A survey on web services composition , 2005, Int. J. Web Grid Serv..

[10]  Markus Fiedler,et al.  Time Is Perception Is Money - Web Response Times in Mobile Networks with Application to Quality of Experience , 2010, PERFORM.

[11]  Sanjiva Weerawarana,et al.  Unraveling the Web services web: an introduction to SOAP, WSDL, and UDDI , 2002, IEEE Internet Computing.

[12]  A. Moorsel.  Metrics for the Internet Age: Quality of Experience and Quality of Business , 2001 .

[13]  Peter Reichl,et al.  Logarithmic laws in service quality perception: where microeconomics meets psychophysics and quality of experience , 2013, Telecommun. Syst..

[14]  Peter Reichl,et al.  The Logarithmic Nature of QoE and the Role of the Weber-Fechner Law in QoE Assessment , 2010, 2010 IEEE International Conference on Communications.

[15]  John Woods,et al.  QoS arbitration for improving the QoE in multimedia transmission , 2003 .

[16]  Gero Mühl,et al.  QoS-Aware Composition of Web Services: An Evaluation of Selection Algorithms , 2005, OTM Conferences.

[17]  Daniel A. Menascé,et al.  Composing Web Services: A QoS View , 2004, IEEE Internet Comput..

[18]  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).

[19]  Hyun-Jong Kim,et al.  The QoE Evaluation Method through the QoS-QoE Correlation Model , 2008, 2008 Fourth International Conference on Networked Computing and Advanced Information Management.

[20]  Anne H. H. Ngu,et al.  QoS-aware middleware for Web services composition , 2004, IEEE Transactions on Software Engineering.

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