OSIF: A Framework To Instrument, Validate, and Analyze Simulations

Ribault, Judicaël; Dalle, Olivier; Conan, Denis; Leriche, Sébastien

doi:10.4108/icst.simutools2010.8729

Cited by 10 publications

(6 citation statements)

References 24 publications

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“…The method proposed by Ribault et al (2010) uses the concept of separation of concerns to avoid the intertwining of data collection code and simulation model code. Their Open Simulation Instrumentation Framework (OSIF) introduces interesting ideas.…”

Section: Related Workmentioning

confidence: 99%

“…The situation is quite different in the case of simulators whose lifespan outlasts that of a single study, where one may find sophisticated, reliable functionality for data collection and processing. Still, as indicated by Ribault et al (2010), many simulators provide APIs for data collection that require the mixing of instrumentation code into model code. There are two dangers in this approach.…”

Section: Introductionmentioning

confidence: 99%

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The design of an output data collection framework for NS-3

Perrone¹,

Henderson²,

Watrous³

et al. 2013

2013 Winter Simulations Conference (WSC)

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An important design decision in the construction of a simulator is how to enable users to access the data generated in each run of a simulation experiment. As the simulator executes, the samples of performance metrics that are generated beg to be exposed either in their raw state or after having undergone mathematical processing. Also of concern is the particular format this data assumes when externalized to mass storage, since it determines the ease of processing by other applications or interpretation by the user. In this paper, we present a framework for the ns-3 network simulator for capturing data from inside an experiment, subjecting it to mathematical transformations, and ultimately marshaling it into various output formats. The application of this functionality is illustrated and analyzed via a study of common use cases. Although the implementation of our approach is specific to ns-3, this design presents lessons transferrable to other platforms.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The design of an output data collection framework for NS-3

Perrone¹,

Henderson²,

Watrous³

et al. 2013

2013 Winter Simulations Conference (WSC)

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show abstract

“…The problem of the size of the traces rises also when running simulations. Also in this case there is the need to handle and analyze huge amount of data, as does the OSIF Project (Ribault et al 2010).…”

Section: Related Workmentioning

confidence: 99%

Traces generation to simulate large-scale distributed applications

Dalle

Mancini

2011

Proceedings of the 2011 Winter Simulation Conference (WSC)

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In order to study the performance of scheduling algorithms, simulators of parallel and distributed applications need accurate models of the application's behavior during execution. For this purpose, traces of low-level events collected during the actual execution of real applications are needed. Collecting such traces is a difficult task due to the timing, to the interference of instrumentation code, and to the storage and transfer of the collected data. To address this problem we propose a comprehensive software architecture, which instruments the application's executables, gather hierarchically the traces, and post-process them in order to feed simulation models. We designed it to be scalable, modular and extensible.

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“…Thus, the applications of aspect-based modeling span a broad range of simulation software. 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].…”

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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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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OSIF: A Framework To Instrument, Validate, and Analyze Simulations

Cited by 10 publications

References 24 publications

The design of an output data collection framework for NS-3

The design of an output data collection framework for NS-3

Traces generation to simulate large-scale distributed applications

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

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