Co-simulation Solutions using AA4MM-FMI applied to Smart Space Heating Models

Gilpin, Leilani H.; Ciarletta, Laurent; Presse, Yannick; Chevrier, Vincent; Galtier, Virginie

doi:10.4108/icst.simutools.2014.254633

Cited by 4 publications

(6 citation statements)

References 5 publications

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“…17. These results are consistent with the ones provided by [5], considering that the remote controller was configured to send the target temperatures 293.15K (6 AM), 288.15K (8 AM), 293.15K (4 PM), 288.15K (10 PM) to the room 1 and 288.15K (10 AM), 293.15K (11 PM) to the room 2. Figure 17.…”

Section: Test Of Different Models From the Same Librarysupporting

confidence: 80%

See 1 more Smart Citation

Co-Simulation of IP Network Models in the Cyber-Physical Systems Context, using a DEVS-based Platform

Vaubourg

Chevrier

Ciarletta

2016

19th Communications &Amp; Networking Symposium (CNS 2016)

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Cyber-Physical Systems (smart grids, cities, homes, etc) are composed of computing resources, actuators and sensors, connected through IP networks. These IP networks involve many technologies. In order to help designing and evaluating these systems, we are studying the modeling and simulation of IP networks in this context. Since there is no universal IP simulator proposing a model library corresponding to all the required technologies, we propose a solution to make different major IP simulators, generally not interoperable, interact with one another in a same cosimulation. Moreover, they should also interact with simulators corresponding to other fields of expertise involved in the simulation, mostly related to the physical or social aspects of these systems (e.g. power models, traffic models, weather models, etc). In this paper, we propose to address these issues as a multi-modeling problem, by integrating well-known IP network simulators into a DEVS-based cosimulation platform. We propose some concepts, helping to split a network topology into several models, to create input/output ports inside them, and to integrate them to a DEVS multi-model. We illustrate our solution thanks to a use case, including interconnected event-based models executed both by NS-3 and OMNeT++, equation-based models and the co-simulation platform MECSYCO.

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Section: Test Of Different Models From the Same Librarysupporting

confidence: 80%

“…Our scenario corresponds to the use case explained in [5]. Heatings and temperature sensors of two rooms are modeled thanks to an equation-based FMU [1] model (industrial standard way to model physical systems).…”

Section: Scenariomentioning

confidence: 99%

Co-Simulation of IP Network Models in the Cyber-Physical Systems Context, using a DEVS-based Platform

Vaubourg

Chevrier

Ciarletta

2016

19th Communications &Amp; Networking Symposium (CNS 2016)

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“…an application that consists of several concurrent processes, possibly remotely located, and interacting through message exchanges. Such systems include notably smart-grid [21], smart-home [16], cloud infrastructure [12] and smart-city [32].…”

Section: Introductionmentioning

confidence: 99%

“…Our contribution is then to specify an FMU as a SimGrid model to ease the simulation of DCPS. Compared to other works in the literature [6,16,21,32], our solution is not limited to a specific use case and benefits from the versatility of SimGrid and its validated IT models.…”

Section: Introductionmentioning

confidence: 99%

Co-simulation of FMUs and Distributed Applications with SimGrid

Camus

Orgerie

Quinson

2018

Proceedings of the 2018 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation

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The Functional Mock-up Interface (FMI) standard is becoming an essential solution for co-simulation. In this paper, we address a specific issue which arises in the context of Distributed Cyber-Physical System (DCPS) co-simulation where Functional Mock-up Units (FMU) need to interact with distributed application models. The core of the problem is that, in general, complex distributed application behaviors cannot be easily and accurately captured by a modeling formalism but are instead directly specified using a standard programming language. As a consequence, the model of a distributed application is often a concurrent program. The challenge is then to bridge the gap between this programmatic description and the equation-based framework of FMI in order to make FMUs interact with concurrent programs. In this article, we show how we use the unique model of execution of the SimGrid simulation platform to tackle this issue. The platform manages the co-evolution and the interaction between IT models and the different concurrent processes which compose a distributed application code. Thus, SimGrid offers a framework to mix models and concurrent programs. We show then how we specify an FMU as a SimGrid model to solve the DCPS co-simulation issues. Compared to other works of the literature, our solution is not limited to a specific use case and benefits from the versatility and scalability of SimGrid.

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“…Our use case is inspired by different works around smart-heating [55] [58]. We want to simulate the evolution of the temperature and the power consumption of two buildings equipped with electric heaters.…”

Section: Use Casementioning

confidence: 99%

Co-simulation of cyber-physical systems using a DEVS wrapping strategy in the MECSYCO middleware

et al. 2018

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Most modeling and simulation (M&S) questions about cyber-physical systems (CPS) require expert skills belonging to different scientific fields. The challenges are then to integrate each domain's tools (formalism and simulation software) within the rigorous framework of M&S process. To answer this issue, we give the specifications of the MECSYCO co-simulation middleware which enables to interconnect several pre-existing and heterogeneous M&S tools, so they can simulate a whole CPS together. The middleware performs the cosimulation in a parallel, decentralized and distributable fashion thanks to its modular multi-agent architecture. In order to rigorously integrate tools which use different formalisms, the co-simulation engine of MECSYCO is based on DEVS. The central idea of MECSYCO is to use a DEVS wrapping strategy to integrate each tool into the middleware. Thus, heterogeneous tools can be homogeneously co-simulated in the form of a DEVS system. By using DEVS, MECSYCO benefits from the numerous scientific works which have demonstrated the integrative power of this formalism and gives crucial guidelines to rigorously design wrappers. We demonstrate that our discrete framework can integrate a vast amount of continuous M&S tools by wrapping the FMI standard. To this end, we take advantage of DEVS efforts of the literature (namely, the DEV&DESS hybrid formalism and QSS solvers) to design DEVS wrappers for FMU components. As a side-effect, this wrapping is not restricted to MECSYCO but can be applied in any DEVS-based platform. We evaluate MECSYCO with the proof of concept of a smart-heating use-case, where we co-simulate non DEVS-centric M&S tools.

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Co-simulation Solutions using AA4MM-FMI applied to Smart Space Heating Models

Cited by 4 publications

References 5 publications

Co-Simulation of IP Network Models in the Cyber-Physical Systems Context, using a DEVS-based Platform

Co-Simulation of IP Network Models in the Cyber-Physical Systems Context, using a DEVS-based Platform

Co-simulation of FMUs and Distributed Applications with SimGrid

Co-simulation of cyber-physical systems using a DEVS wrapping strategy in the MECSYCO middleware

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