A taxonomy-driven approach for performance measurement and modelling in service oriented architectures
Ernest Sithole, Sally I. McClean, B. W. Scotney, Gerard P. Parr, Adrian Moore, David Bustard, Stephen Dawson · 2008
Abstract. Performance analysis in traditional distributed computing systems has always been inherently complex given the combination and interplay of behaviours associated with various operational components such as application routines, operating systems, communication protocols, the network infrastructure, and CPU and storage hardware nodes. In Service Oriented Architecture- (SOA)-based distributed systems, where functional capabilities are abstracted and presented as service packages, accurately determining performance patterns is even more challenging. The increased complexity arises from additional characteristics of the middleware-based service framework. In this paper we propose a conceptual approach for modelling SOA performance, which is based on understanding (a) the behaviours manifested in the SOAbased infrastructure and (b) the properties associated with the underlying physical resource landscape. The parameters used in developing the SOA performance models are derived from the service taxonomy that we also present. Finally, an initial conceptual method for service performance modelling is developed.