Automatic Derivation of Performance Models in the Context of Model-Driven SOA

Alhaj, Mohammad

doi:10.22215/etd/2014-10132

Cited by 3 publications

(7 citation statements)

References 46 publications

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“…(ITU-T) as Z.151 [52]. Among the numerous scenario notations surveyed in [1], UCMs are notably fit for many requirements engineering activities and for transformations to other modeling languages. A UCM tool, the Java UCM Navigator (jUCMNav) [79] (and its C++ predecessor UCMNav [74]) has been augmented with CSM export capabilities to assist with the early analysis of performance questions from scenario specifications [146].…”

Section: International Telecommunication Union Telecommunication Stanmentioning

confidence: 99%

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CSM2LQN – Transformations for the Generation of Performance Models from Software Designs

Petriu¹

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This thesis presents a methodology for the tool-assisted generation of performance models from software designs. First, the author has defined the Core Scenario Model (CSM) as an intermediate model to capture performance information from a software behaviour specification. Second, he has examined in detail the problem of transforming CSMs derived from UML annotated with MARTE performance stereotypes into performance models.

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Section: International Telecommunication Union Telecommunication Stanmentioning

confidence: 99%

“…• into stochastic Petri nets [8][29] [61] • into stochastic process algebra models [17] • directly into simulation models [1] The model translation can be somewhat intricate. For example, D.C. Petriu and Shen use a technique based on graph grammars in [97].…”

Section: International Telecommunication Union Telecommunication Stanmentioning

confidence: 99%

CSM2LQN – Transformations for the Generation of Performance Models from Software Designs

Petriu¹

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“…In Figure 2.3, there are in total five tasks (e.g., User, Network, WebServer, DbControl and DbServer) where User task generates traffic, Network task models network latency and the rest of the tasks provide services. Typically in LQN, network latency is modeled using a Network task that has infinite thread and is deployed to a host of infinite multiplicity [1], [97]. The default task multiplicity is 1 and queuing discipline is FIFO.…”

Section: Figure 23 An Lqn Model For a 3-tier Web Applicationmentioning

confidence: 99%

“…Another line of research is based on Aspect Oriented Modeling (AOM). Alhaj et al [1], [2] proposed an approach to transform platform independent-model to platform-dependent model in the context of a model transformation chain that generates queueing-based performance models from UML design models of service-oriented applications. The Reusable Aspect Model (RAM) proposed by Keinzle et al [54] can be used to model middleware variability of functional requirements, whereas this research aims to model the variability of non-functional requirements for performance prediction.…”

Section: State Of the Art In Middleware Performance Modelingmentioning

confidence: 99%

“…This issue was identified by Woodside et al [98] and the authors called these added performance model elements Performance Completions or simply Completions. A key completion for a distributed application is its middleware [1], [21] . This thesis proposes a framework called MMLQ (Middleware Modeling for Layered Queues) to model middleware and to compose it with software performance models.…”

Section: Chapter: Introductionmentioning

confidence: 99%

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A Flexible Framework for Modeling Middleware Completions

Adnan¹

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Middleware has a major impact on the performance of distributed software applications.To predict the performance (e.g., response time, throughput) of an application using a performance model, it is essential to capture not only the characteristics of the application, but also the platform and the middleware. Model elements, which are added to an application software model for performance analysis are known as Completions. This research proposes a unified and flexible framework, called MMLQ (Middleware Modeling for Layered Queues), for modeling middleware completions and automatically composing them into software performance models. The existing approaches have many limitations. Some of them require to build and compose models manually, others lack generality, while others use component-based modeling which creates many elements that are not essential for performance analysis and complicate the model. MMLQ overcomes the limitations of the existing approaches and can model a wide range of middleware platforms. The contributions of this thesis include identifying the commonalities and differences among different middleware platforms, modeling their features, specializing middleware models to cater to the needs of an application, calibrating the specialized models and a proposing a process to compose calibrated models with the application models. The software application models and the middleware models are all built using Layered Queuing Network Model (LQN) developed at the RADS lab of Carleton University. The MMLQ framework is validated by showing its ability to model three different categories of middleware and by comparing the predicted performance with measured performance metrics. ii iii This work is dedicated to my lovely wife Farhana, my cute son Farhaz and my beloved mother Halima Khatun vi

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Automatic Derivation of LQN Performance Models from UML software models using Epsilon

Zargari¹

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Model-Driven Development (MDD) is an emerging software paradigm that raises the level of abstraction of software development by changing the focus from code to models and automates the generation of code from models. MDD also facilitates the analysis of non-functional properties, such as performance, in the early software development phases. The objective of this thesis is to develop a model transformation process that takes as input a UML software model with MARTE performance annotations, and generates a corresponding Layered Queueing Network (LQN) performance model in a format understood by the existing LQN tools. The transformation is developed in Epsilon, a new family of languages specialized in model transformations, refinement and management. v 4 Chapter: Transformation Design .

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Automatic Derivation of Performance Models in the Context of Model-Driven SOA

Cited by 3 publications

References 46 publications

CSM2LQN – Transformations for the Generation of Performance Models from Software Designs

CSM2LQN – Transformations for the Generation of Performance Models from Software Designs

A Flexible Framework for Modeling Middleware Completions

Automatic Derivation of LQN Performance Models from UML software models using Epsilon

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