Affiliations: School of Computer Science, Cardiff University, 5 The
Parade, Roath, Cardiff CF24 3AA, UK
Note: [] Corresponding author: Prof. David W. Walker, School of Computer
Science, Cardiff University, 5 The Parade, Roath, Cardiff CF24 3AA, UK. Tel.:
+44 (29) 20874205; Fax: +44 (29) 20874598; E-mail: david@cs.cf.ac.uk
Abstract: An approach to dynamic workflow management and optimisation using
near-realtime performance data is presented. Strategies are discussed for
choosing an optimal service (based on user-specified criteria) from several
semantically equivalent Web services. Such an approach may involve finding
"similar" services, by first pruning the set of discovered services based on
service metadata, and subsequently selecting an optimal service based on
performance data. The current implementation of the prototype workflow
framework is described, and demonstrated with a simple workflow. Performance
results are presented that show the performance benefits of dynamic service
selection. A statistical analysis based on the first order statistic is used to
investigate the likely improvement in service response time arising from
dynamic service selection.
