Paper Info
Title
A probabilistic approach to modeling and estimating the QoS of web-services-based workflows
Abstract
Web services promise to become a key enabling technology for B2B e-commerce. One of the most-touted features of Web services is their capability to recursively construct a Web service as a workflow of other existing Web services. The quality of service (QoS) of Web-services-based workflows may be an essential determinant when selecting constituent Web services and determining the service-level agreement with users. To make such a selection possible, it is essential to estimate the QoS of a WS workflow based on the QoSs of its constituent WSs. In the context of WS workflow, this estimation can be made by a method called QoS aggregation. While most of the existing work on QoS aggregation treats the QoS as a deterministic value, we argue that due to some uncertainty related to a WS, it is more realistic to model its QoS as a random variable, and estimate the QoS of a WS workflow probabilistically. In this paper, we identify a set of QoS metrics in the context of WS workflows, and propose a unified probabilistic model for describing QoS values of a broader spectrum of atomic and composite Web services. Emulation data are used to demonstrate the efficiency and accuracy of the proposed approach.
Year
DOI
Venue
2007
10.1016/j.ins.2007.07.011
Inf. Sci.
Keywords
Field
DocType
ws workflows,web service composition,ws workflow,qos aggregation,qos metrics,qos value,web services,constituent web service,web service qos,structural workflow,composite web service,existing web service,workflow qos,web service,ws workflow probabilistically,web-services-based workflows,probabilistic approach,random variable,probabilistic model,quality of service
Data mining,Mobile QoS,Computer science,Quality of service,Web modeling,Artificial intelligence,Probabilistic logic,Workflow,Distributed computing,Emulation,Web service,WS-Policy,Machine learning
Journal
Volume
Issue
ISSN
177
23
0020-0255
Citations 
PageRank 
References 
120
4.18
24
Authors
4
Search Limit
100120
Name
Order
Citations
PageRank
San-Yih Hwang1716146.71
Haojun Wang227713.75
Jian Tang3526148.30
Jaideep Srivastava45845871.63