1,720,980 research outputs found
Demonstration of model-driven performance prediction of distributed real-time embedded systems of systems
No full textInvestigating the performance of system of systems raises significant challenges due to their distributed and interconnected nature. To determine the suitability of different architectural alternatives, the proposed performance prediction process captures and analyses system metrics. Metric visualisation provides feedback to system experts who can pose performance questions and decide on the optimal architectural design. To support this process, this paper presents a model driven engineering and system execution modelling tool set. This provides early insight into architectural characteristics and assists in the design and development of Distributed Real-time and Embedded systems of systems.Marianne Rieckmann, Daniel Fraser, Vanea Chiprianov, Claudia Szabo, Katrina Falkne
Modeling scenarios for the performance prediction of distributed real-time embedded systems
No full textAutonomous defence systems are typically characterized by hard constraints on space, weight and power. These constraints have a strong impact on the non-functional properties and especially performance of the final system. System execution modelling tools permit early prediction of the performance of model driven systems; however they are intended for one shot analysis, not for repeatable, interactive use. In this paper we propose a Domain Specific Language for describing scenarios to repeatedly test a system execution model within a Synthetic Environment. We exemplify it by describing and executing a scenario involving an UAV and a CMS.Katrina Falkner, Vanea Chiprianov, Nickolas Falkner, Claudia Szabo, Gavin Pudd
A model-driven engineering method for DRE defence systems performance analysis and prediction
No full textAutonomous, Distributed Real-Time Embedded (DRE) defence systems are typically characterized by hard constraints on space, weight, and power. These constraints have a strong impact on the nonfunctional properties of the final system, especially its performance. System execution modeling tools permit early prediction of the performance of model-driven systems; however, the focus to date has been on the practical aspects and creating tools that work in specific cases, rather than on the process and methodology applied. In this chapter, the authors present an integrated method to performance analysis and prediction of model-driven DRE defense systems. They present both the tools to support the process and a method to define these tools. The authors explore these tools and processes within an industry case study from a defense context.Katrina Falkner, Vanea Chiprianov, Nickolas Falkner, Claudia Szabo, Gavin Pudd
Model-driven performance prediction of systems of systems
No full textSystems of systems exhibit characteristics that pose difficulty in modelling and predicting their overall performance capabilities, including the presence of operational independence, emergent behaviour, and evolutionary development. When considering systems of systems within the autonomous defence systems context, these aspects become increasingly critical, as constraints on the performance of the final system are typically driven by hard constraints on space, weight and power. System execution modelling languages and tools permit early prediction of the performance of model-driven systems; however, the focus to date has been on understanding the performance of a model rather than determining whether it meets performance requirements, and only subsequently carrying out analysis to reveal the causes of any requirement violations. Moreover, such an analysis is even more difficult when applied to several systems cooperating to achieve a common goala-a system of systems. In this article, we propose an integrated approach to performance prediction of model-driven real-time embedded defence systems and systems of systems. Our architectural prototyping system supports a scenario-driven experimental platform for evaluating model suitability within a set of deployment and real-time performance constraints. We present an overview of our performance prediction system, demonstrating the integration of modelling, execution and performance analysis, and discuss a case study to illustrate our approach.Katrina Falkner, Claudia Szabo, Vanea Chiprianov, Gavin Puddy, Marianne Rieckmann, Dan Fraser, Cathlyn Asto
Model-driven performance prediction of distributed real-time embedded defence systems
No full textAutonomous defence systems are typically characterised by hard constraints on space, weight and power. These constraints have a strong impact on the non-functional properties, and performance, of the final system. System execution modelling tools permit early prediction of the performance of model driven systems, however the focus to date has been on understanding the performance of a model rather than determining if it meets performance requirements, and subsequently carrying out analysis to reveal the causes of any requirement violations. In this paper, we propose an integrated approach to performance prediction of model-driven distributed real time embedded defence systems. Our architectural prototyping system supports a scenario-driven experimental platform for evaluating model suitability within a set of deployment and real-time performance constraints. We present an overview of our performance prediction system, demonstrating the integration of modelling, execution and visualisation, and discuss a case study to illustrate our approach.Katrina Falkner, Vanea Chiprianov, Nickolas J.G. Falkner, Claudia Szabo, James H. Hill, Gavin Puddy, Dan Fraser, Adrian Johnston, Marianne Rieckmann, Andrew Walli
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
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