Model-driven performability analysis of composite web services

TitleModel-driven performability analysis of composite web services
Publication TypeJournal Article
Year of Publication2008
AuthorsBocciarelli, P., and Andrea D'Ambrogio
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5119 LNCS
Pagination228-246
ISSN03029743
ISBN Number3540698132; 9783540698135
KeywordsBuilding blockes, Business process execution language for web services, Combined measure, Composite web services, Distributed applications, Emerging computing paradigm, Information services, Model driven approach, Model-driven, Model-driven development, Perform-ability, Performance, Performance attributes, Quality of service, Reliability, Service oriented architecture (SOA), Service provider, Systems analysis, Web services
AbstractWeb services are the building blocks of the emerging computing paradigm based on service-oriented architectures (SOAs). A web service is a self-describing, open component that supports rapid composition of distributed applications. In a SOA context, service providers are strategically interested both to predict and describe the QoS of the offered services. This paper introduces a model-driven approach to automatically predict and describe the QoS of composite web services specified by use of the Business Process Execution Language for Web Services. The paper is founded on a lightweight QoS-oriented extension of the WSDL and specifically addresses the QoS in terms of the performability attribute, which defines a combined measure of performance and reliability. The proposed approach is illustrated by use of an example application that shows how the performability analysis may lead to predictions that do not correspond to those obtained by approaches that only consider the performance attribute. © 2008 Springer-Verlag Berlin Heidelberg.
URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-70349880842&partnerID=40&md5=2b62ddfcd5d7d53a52f20982c298e063
DOI10.1007/978-3-540-69814-2-15