Skip to Main content Skip to Navigation
Conference papers

Probabilistic QoS Analysis of Web Services

Abstract : 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.
Document type :
Conference papers
Complete list of metadata

Cited literature [21 references]  Display  Hide  Download
Contributor : Hal Ifip Connect in order to contact the contributor
Submitted on : Tuesday, April 25, 2017 - 2:33:28 PM
Last modification on : Tuesday, June 1, 2021 - 2:34:10 PM
Long-term archiving on: : Wednesday, July 26, 2017 - 1:57:34 PM


Files produced by the author(s)


Distributed under a Creative Commons Attribution 4.0 International License



Waseem Ahmed, yong Wei Wu. Probabilistic QoS Analysis of Web Services. 10th International Conference on Network and Parallel Computing (NPC), Sep 2013, Guiyang, China. pp.393-404, ⟨10.1007/978-3-642-40820-5_33⟩. ⟨hal-01513761⟩



Record views


Files downloads