Abstract
This paper presents an aspect-based approach for realizing a transformation from platform-independent to platform-dependent models in the context of a model transformation chain that generates queueing-based performance models from UML design models of serviceoriented applications. The purpose of generating such performance models is to evaluate the performance of the system under development in the early software lifecycle phases, in order to insure that it will meet the performance requirements. The paper presents the model transformation chain PUMA4SOA, which transforms automatically a UML model of a service-oriented architecture (SOA) system extended with MARTE performance annotations into an intermediate model, Core Scenario Model (CSM), which in turn is used to generate a Layered Queueing Network (LQN) performance model. Aspect-oriented modeling is used to represent different services offered by the underlying SOA platform to the SOA application. The paper discusses and compares different alternatives for composing the platform aspect models with the platform-independent model (PIM) of the application throughout the model transformation chain.
Highlights
Service-Oriented Architecture (SOA) is a software architectural approach that seeks to develop and deploy business applications as a set of reusable services (Earl, 2005)
The main differences between PUMA and PUMA4SOA stem from the kind of design models taken as input and the separation between the Platform-Independent Model (PIM) of the SOA application, and the Platform-Specific Model (PSM) which incorporates platform details needed for performance evaluation
The paper is organized as follows: Section 2 introduces the concept of performance completion feature model; Section 3 describes the UML input models, illustrated with a Purchase Order system example; Section 4 presents and compares the aspect composition at the UML, Core Scenario Model (CSM) and Layered Queueing Network (LQN) levels; Section 5 describes the approach for performing multiple aspect compositions; Section 6 discusses the performance results of the case study; Section 7 presents related work and Section 8 the conclusion and directions for future work
Summary
Service-Oriented Architecture (SOA) is a software architectural approach that seeks to develop and deploy business applications as a set of reusable services (Earl, 2005). We account for platform effects similar to (Selic, 2008), considering that the underlying platform offers a set of services or operations to the applications running on top of it This allows for the rapid composition of a given PIM with multiple platform models, which allows us to evaluate its performance for different platforms. This paper extends a previous conference paper (Alhaj and Petriu, 2012) with a performancecompletion feature model for representing the variability in the service platform, an approach for composing multiple aspects, a description of aspect composition at CSM level and a section on performance analysis using the LQN model. The platform aspect models are originally defined in UML, they can be transformed separately and composed into the primary model at different levels, i.e. UML (Fig. 1), CSM (Fig. 9), and LQN (Fig.12) as discussed in the paper. The paper is organized as follows: Section 2 introduces the concept of performance completion feature model; Section 3 describes the UML input models, illustrated with a Purchase Order system example; Section 4 presents and compares the aspect composition at the UML, CSM and LQN levels; Section 5 describes the approach for performing multiple aspect compositions; Section 6 discusses the performance results of the case study; Section 7 presents related work and Section 8 the conclusion and directions for future work
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