%0 Conference Proceedings
%T Probabilistic QoS Analysis of Web Services
%+ Department of Computer Science and Technology (CST)
%A Ahmed, Waseem
%A Wu, Yong, Wei
%Z Part 5: Session 5: Miscellaneous
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 10th International Conference on Network and Parallel Computing (NPC)
%C Guiyang, China
%Y Ching-Hsien Hsu
%Y Xiaoming Li
%Y Xuanhua Shi
%Y Ran Zheng
%I Springer
%3 Network and Parallel Computing
%V LNCS-8147
%P 393-404
%8 2013-09-19
%D 2013
%R 10.1007/978-3-642-40820-5_33
%K Hidden states
%K Probability
%K Quality of Service
%Z Computer Science [cs]Conference papers
%X In such a competitive world, quality assurance can make the difference between a successful business and bankruptcy. For Internet services, the presence of low performance servers, high latency or overall poor service quality can translate into lost sales, user frustration and customers lost. In this paper, we propose a novel method for QoS metrification based on Hidden Markov Models. The techniques we show can be used to measure and predict the behavior of Web Services under several criteria, and can thus be used to rank services quantitatively rather than just qualitatively. We demonstrate the feasibility and usefulness of our methodology by drawing experiments on real world data. Our results have shown how our proposed methods can help the user to automatically select the best available Web Service based on several metrics, among them system predictability and response times variability.
%G English
%2 https://inria.hal.science/hal-01513761/document
%2 https://inria.hal.science/hal-01513761/file/978-3-642-40820-5_33_Chapter.pdf
%L hal-01513761
%U https://inria.hal.science/hal-01513761
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-NPC
%~ IFIP-LNCS-8147