(1) information supplied in the performance annotations, (2) in interpretation of the global behaviour expressed in the CSM and (3) in the process of constructing the performance model. Flexibility is required for specifying sets of alternative cases, for choosing where this bridging information is supplied, and for overriding values. It is also essential to be able to trace the source of values used in a particular performance estimate. The performance model in turn can be used to verify responsiveness and scalability of a software system, to discover architectural limitations at an early stage of development, and to develop efficient performance tests. This paper describes how the semantic gap between software models in UML+MARTE and performance models (based on queueing or Petri nets) can be bridged using transformations based on CSMs, and how the transformation challenges are addressed.
Model-Driven SOA is an emerging approach for developing service-oriented systems using models at different levels of abstractions and applying model transformations to generate either code or other models for the analysis of non-functional properties, such as performance. The paper proposes an approach for deriving layered queueing performance models for the evaluation of the runtime performance characteristics of such systems in the early development phases, before the entire system is built and can be deployed and measured. Early performance evaluation helps to choose an appropriate architecture, design and configuration alternatives, so that the final system meets its performance requirements. The starting point for derivation is a platform independent UML model of a SOA system representing the workflows, architecture of the underlying components offering services, and behavior of the corresponding runtime scenarios. A platform dependent model, obtained by weaving platform services into the platform-independent model through aspectoriented modeling techniques, represents the source model for the transformation into a performance model. The deployment of the software on hardware resources is also part of the source model. The UML model is annotated with performance information by using the standard UML profile MARTE. The proposed approach is illustrated with a healthcare application.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.