DocumentCode
2424251
Title
QoS probability distribution estimation for web services and service compositions
Author
Zheng, Huiyuan ; Yang, Jian ; Zhao, Weiliang
Author_Institution
Dept. of Comput., Macquarie Univ., Sydney, NSW, Australia
fYear
2010
fDate
13-15 Dec. 2010
Firstpage
1
Lastpage
8
Abstract
In this paper, we propose an approach to model the probability density function (PDF) of the QoS of a web service (QoWS) based on non-parametric statistical method. Mathematical formulas are designed to calculate the QoS distributions for service compositions (QoCS). Experiment has been done to show that the proposed QoWS distribution modeling approach is much more accurate than exiting methods. An accurate PDF estimation can be obtained for the QoCS if the PDF of the component QoWSs are modeled by the proposed method.
Keywords
Web services; nonparametric statistics; probability; quality of service; PDF; QoCS; QoS probability distribution estimation; QoWS; Web services; nonparametric statistical method; probability density function; service composition; Estimation; Gaussian distribution; Measurement; Probability distribution; Quality of service; Time factors; Web services; QoS; Web service; probability distribution; service composition;
fLanguage
English
Publisher
ieee
Conference_Titel
Service-Oriented Computing and Applications (SOCA), 2010 IEEE International Conference on
Conference_Location
Perth, WA
Print_ISBN
978-1-4244-9802-4
Type
conf
DOI
10.1109/SOCA.2010.5707144
Filename
5707144
Link To Document