An Aspect-Oriented Approach for the Development of Complex Simulation Software.

Ionescu, Tudor B.; Piater, Andreas; Scheuermann, Walter; Laurien, Eckart

doi:10.5381/jot.2010.9.1.a4

Cited by 3 publications

(3 citation statements)

References 21 publications

(23 reference statements)

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“…In [12], a new aspect-oriented approach for disaster prevention simulation system (ABR) has been addressed. The proposed approach separates the core functionality of the simulation application from simulation crosscutting concerns thanks to horizontal decomposition (HD) method which relies on the AOP paradigm.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Applications range from discrete event simulation (DES) frameworks as Tortuga [6], Simkit [7], SimJ [8], and the component-based instrumentation framework OSIF [9] that uses the AOP paradigm to separate its DES models from the experimental frame to enable software reuse and evolution to multiagent simulation as [10,11] systems. Moreover, AOP has been used for developing large simulation software systems as in the disaster prevention simulation system [12] and the conduit and traffic simulators [13]. Furthermore, several approaches have been proposed to separate the performance concern from the functional core of software applications as presented in [14][15][16].…”

Section: Introductionmentioning

confidence: 99%

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Practical Benefits of Aspect-Oriented Programming Paradigm in Discrete Event Simulation

Chibani

Belattar

Bourouis

2014

Modelling and Simulation in Engineering

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Aspect-oriented modeling and simulation is a new approach which uses the separation of concerns principle to enhance the quality of models and simulation tools. It adopts the separation of concerns (SOC) principle. Thus, crosscutting concerns such as processes synchronization, steady state detection, and graphical animation could be separated from simulation functional modules. The capture of crosscutting concerns in a modular way is carried out to cope with complexity and to achieve the required engineering quality factors such as robustness, modularity, adaptability, and reusability. This paper provides a summary of aspect-oriented paradigm with its usage in simulation by illustrating the main crosscutting concerns that may infect simulation systems. A practical example is given with the use of the Japrosim discrete event simulation library.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Practical Benefits of Aspect-Oriented Programming Paradigm in Discrete Event Simulation

Chibani

Belattar

Bourouis

2014

Modelling and Simulation in Engineering

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“…It has even been suggested specifically for simulations [32]. However, one of the assumptions of AspectOriented Programming (AOP) is that aspects are completely decoupled from functional processes: aspects are designed and maintained separately from one another and from core processes and weaving happens as late and as automatically as possible.…”

Section: Mappingmentioning

confidence: 99%

Computer-Assisted Scientific Workflow Design

2013

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Workflows are increasingly adopted to describe large-scale data-and compute-intensive processes that can take advantage of today's Distributed Computing Infrastructures. Still, most Scientific Workflow formalisms are notoriously difficult to fully exploit, as they entangle the description of scientific processes and their implementation, blurring the lines between what is done and how it is done as well as between what is and what is not infrastructure-dependent.This work addresses the problem of data-intensive Scientific Workflow design by describing scientific experiments at a higher level of abstraction, emphasizing scientific concepts over technicalities, easing the separation of functional and nonfunctional concerns and leveraging domain knowledge.To achieve this goal, we propose a model-driven approach enhanced with Knowledge Engineering technologies. The main contributions of this work are a semantic Scientific Workflow model to capture user goals and a generative process assisting the transformation from high-level models to executable workflow artefacts.

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Manycore simulation for peta-scale system design: Motivation, tools, challenges and prospects

Zarrin

Aguiar

Barraca

2017

Simulation Modelling Practice and Theory

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This is the accepted version of the paper.This version of the publication may differ from the final published version. Permanent repository link AbstractThe architecture design of peta-scale computing systems is complex and presents lots of difficulties to designs, as current tools lack support for relevant features of future scenarios. Novel systems must be designed with great care and tools, such as manycore architecture simulators, must be adapted accordingly. However, current simulation tools are very slow, often specific-purposeoriented, suffer from various issues and are rarely able to simulate thousands of cores. The emergence of peta-scale systems and the upcoming manycore era brings nevertheless new challenges to computing systems and architectures, adding further difficulties and requirements on the development of the corresponding simulators. Furthermore, the design of architecture simulators for manycore systems involve methods and techniques from various interdisciplinary research areas, which in turn brings more challenges in different aspects. As system complexity grows, the growth of the simulation capacity is being outpaced (reaching the so called simulation wall). In this paper, we present the challenges for simulating future large scale manycore environments, and we investigate the adequacy of current modeling and simulation tools, methodologies and techniques. The aim of this work is to highlight how current approaches can best deal with the identified problems, smoothing the challenges of research in future peta-scale systems.

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An Aspect-Oriented Approach for the Development of Complex Simulation Software.

Cited by 3 publications

References 21 publications

Practical Benefits of Aspect-Oriented Programming Paradigm in Discrete Event Simulation

Practical Benefits of Aspect-Oriented Programming Paradigm in Discrete Event Simulation

Computer-Assisted Scientific Workflow Design

Manycore simulation for peta-scale system design: Motivation, tools, challenges and prospects

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