DEVSimPy: A Collaborative Python Software for Modeling and Simulation of DEVS Systems

Capocchi, Laurent; Santucci, Jean-François; Poggi, Bastien; Nicolai, Christopher

doi:10.1109/wetice.2011.31

Cited by 44 publications

(40 citation statements)

References 7 publications

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“…The migration component uses the activity information to exchange models on the boundary of the current node. Nodes detect that their total activity is higher than the average and try to 01002-p. 8 push away the models on their boundary. These steps are repeated until every node approximately reaches the average activity.…”

Section: Performancementioning

confidence: 99%

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Activity in PythonPDEVS

Tendeloo

Vangheluwe

2014

ITM Web of Conferences

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Abstract. We introduce an activity-enhanced version of PythonPDEVS, a Parallel DEVS simulator. PythonPDEVS supports both sequential and distributed simulation. Both sequential and distributed variants of PythonPDEVS exploit information about computational activity to reduce simulation time. DEVS models can be augmented by the user with domain-specific information about computational load. This information is used by the simulator to improve performance.

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Section: Performancementioning

confidence: 99%

“…DEVSimPy [8], which uses PythonDEVS as its simulator, offers an activity tracking plug-in. The results of this tracking are currently only used to inform the modeller and not for any kind of direct performance improvement.…”

Section: Related Workmentioning

confidence: 99%

Activity in PythonPDEVS

Tendeloo

Vangheluwe

2014

ITM Web of Conferences

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“…Popularity has led to the development of tools such as DEVSimPy [15] and Mosaik [16] which are GUI interfaces able to specify SimPy systems. DEVSimPy can accept DEVS formalisms, as next discussed.…”

Section: Simpymentioning

confidence: 99%

Technique to interconnect and control co‐simulation systems

Broderick

Cruden

Sharkh

et al. 2017

IET Generation, Transmission & Distribution

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A "Run Time Scheduler" (RunTS) is presented, a minimalist Discrete Event Simulator able to sequence the operation of multiple simulators, coordinating a simulation of several elements so to form a whole system. Dynamic cause-effect chains may emerge.In operation the net simulation possesses a known steady-state other than when changed. RunTS controls the application of state-changes, passing these to specific simulators to determine new steady-states. Messages can pass between simulations concerning configuration data, commands and results. Simulators must meet connectability criteria.The method allows variable periods between simulation stages rather than a fixed tempo, and can undertake specific simulation sequences unique to each event, through use of a novel perevent state-machine.RunTS is part of INSim, a Smart Grid simulator working with a mix of components including Electric Vehicles, Smart Agents and OpenDSS, a power network analysis tool.

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“…The aim of this software is to provide developers a collaborative modeling and simulation (M&S) framework in the Python language [4]. It uses the wxPython library which is a blending of the wxWidgets C++ class library with Python.…”

Section: Activity-tracking With Devsimpymentioning

confidence: 99%

“…(ii) on the other hand it proposes an evolution of the DEVSimPy framework [4] involving Activity Tracking (AT) concepts -this evolution will allow to compute the following four activity notions: QA, WA, MCC and CPU. Furthermore, we will describe in a discussion part the relations that can be pointed out between the four activity concepts and a potential evolution of the DEVSimPy framework based on activity tracking-driven simulation.…”

Section: Introductionmentioning

confidence: 99%

Implementation and Analysis of DEVS Activity-Tracking with DEVSimPy

Santucci

Capocchi

2013

ITM Web of Conferences

Self Cite

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Abstract. This paper deals with the implementation of Activity-Tracking (AT) paradigm in the DEVSimPy environment. DEVSimPy has been developed at the SPE UMR CNRS 6134 (University of Corsica) in order to facilitate the modeling and the simulation of discrete-event systems described with the DEVS formalism. The AT paradigm is increasingly being used by DEVS modelers for example to improve structural aspects of models (modeling level) or to make simulation more efficient using distributed or parallel algorithm (simulation level). Although DEVSimPy can be used as a software providing some features reusable for the implementation of AT paradigm (simulation profiling or step-by-step simulation), the object oriented way used to develop DEVSimPy makes it a powerful tool to implement AT paradigm in a generic manner. DEVSimPy may be viewed as an experimental framework allowing the implementation of new AT techniques while opening up new perspectives in the field of activity modeling and simulation theory.

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DEVSimPy: A Collaborative Python Software for Modeling and Simulation of DEVS Systems

Cited by 44 publications

References 7 publications

Activity in PythonPDEVS

Activity in PythonPDEVS

Technique to interconnect and control co‐simulation systems

Implementation and Analysis of DEVS Activity-Tracking with DEVSimPy

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