Analyzing QoS for web service compositions by QoSDIST

Huiyuan Zheng*, Jian Yang, Weiliang Zhao

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

1 Citation (Scopus)


Quality of Service (QoS) analysis and prediction for Web service compositions is an important and challenging issue in distributed computing. In existing work, QoS for service compositions is either calculated based on constant QoS values or simulated based on probabilistic QoS distributions of component services. Simulation method is time consuming and can not be used in real-time applications for dynamic Web service compositions. Experimental results in [5] show that our proposed QoS calculation approach significantly improves the efficiency in QoS estimation when the QoS of component Web services are probability distributions. In this paper, we present a tool QoSDIST to analyze the QoS for Web service compositions based on our proposed QoS calculation method in [5]. QoSDIST does not put any constraints on the modeling of the QoS of component Web services, i.e., the QoS of a component Web service can be in single value, discrete values with frequencies, standard statistical distribution, or any general distribution regardless of its shape.

Original languageEnglish
Title of host publicationService-Oriented Computing, ICSOC 2011 Workshops - ICSOC 2011 International Workshops, WESOA, NFPSLAM-SOC, and Satellite Events, Revised Selected Papers
EditorsGeorge Pallis, Mohamed Jmaiel, Anis Charfi, Sven Graupner, Yücel Karabulut, Sam Guinea, Florian Rosenberg, Quan Z. Sheng, Cesare Pautasso, Sonia Ben Mokhtar
Place of PublicationHeidelberg, Germany
PublisherSpringer, Springer Nature
Number of pages2
Volume7221 LNCS
ISBN (Print)9783642318740
Publication statusPublished - 2012
Event2011 International Conference on Service-Oriented Computing, ICSOC 2011 - Paphos, Cyprus
Duration: 5 Dec 20118 Dec 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7221 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349


Other2011 International Conference on Service-Oriented Computing, ICSOC 2011


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