Performance Evaluation of HLA RTI Implementations

Gütlein, Moritz; Baron, Wojciech; Renner, Christopher; Djanatliev, Anatoli

doi:10.1109/ds-rt50469.2020.9213641

Cited by 6 publications

(9 citation statements)

References 7 publications

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“…FMI does not support concurrent execution of the different simulators, although internally, the simulations can be parallelized (Andreas Junghanns et al, 2021 ) and FMIGo proposes a parallelization implementation of FMI (Lacoursire and Hrdin, 2017 ). HLA is designed for distributed systems and provides a standard for data exchange and time management of simulators (Neema et al, 2014 ; Gutlein et al, 2020 ). HLA facilitates the re-usability and interoperability of simulators and models by describing each component's roles and interactions.…”

Section: Discussionmentioning

confidence: 99%

“…It provides a common data model for the reconciliation of model definitions and interoperability of simulators including during distributed runtime execution. Typically these services are implemented with a centralized communication architecture (Gutlein et al, 2020 ), sometimes described as a hub and spoke model. Both MUSIC and our design pattern use direct, peer-to-peer communication.…”

Section: Discussionmentioning

confidence: 99%

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Multiscale co-simulation design pattern for neuroscience applications

Kusch,

Diaz-Pier,

Klijn

et al. 2024

Front. Neuroinform.

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Integration of information across heterogeneous sources creates added scientific value. Interoperability of data, tools and models is, however, difficult to accomplish across spatial and temporal scales. Here we introduce the toolbox Parallel Co-Simulation, which enables the interoperation of simulators operating at different scales. We provide a software science co-design pattern and illustrate its functioning along a neuroscience example, in which individual regions of interest are simulated on the cellular level allowing us to study detailed mechanisms, while the remaining network is efficiently simulated on the population level. A workflow is illustrated for the use case of The Virtual Brain and NEST, in which the CA1 region of the cellular-level hippocampus of the mouse is embedded into a full brain network involving micro and macro electrode recordings. This new tool allows integrating knowledge across scales in the same simulation framework and validating them against multiscale experiments, thereby largely widening the explanatory power of computational models.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Multiscale co-simulation design pattern for neuroscience applications

Kusch,

Diaz-Pier,

Klijn

et al. 2024

Front. Neuroinform.

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“…The implementation should also support the latest HLA standard IEEE 1516-2010, also known as HLA evolved, at least in most parts. Out of the four leading HLA RTI implementations according to a recent comparison by Gu ¨tlein et al, 56 there are two non-commercial ones: Portico 57 and CERTI. 58 Portico offers a little more freedom in that it can be used with C++ and Java.…”

Section: Methodsmentioning

confidence: 99%

“…In addition, Portico is one of the few implementations that is completely decentralized. 56,59 This decentralization was considered helpful for the fast implementation of a prototype since no central component would have to be set up, and the communication among the federates takes place without much configuration effort via multi-casts. The RTI component, which has always been illustrated as a central stand-alone component up to now, is merged into the federates, so to speak, by integrating the Portico RTI implementation into each federate, where it performs the tasks of an RTI, such as filtering incoming messages.…”

Section: Methodsmentioning

confidence: 99%

Ad hoc HLA simulation model derived from a model-based traffic scenario

Reiher

Hahn

2023

SIMULATION

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Modern highly automated and autonomous traffic systems and sub-systems require new approaches to test their functional safety in the context of validation and verification. One approach that has taken a leading role in current research is scenario-based testing. For various reasons, simulation is considered to be the most practicable solution for a wide range of test scenarios. However, this is where many existing simulation systems in research reach their limits. In order to be able to integrate the widest possible range of systems to be tested into the simulation, the use of co-simulation has proven to be particularly useful. In this work, the High-Level Architecture defined in the IEEE 1516-2010 standard is specifically addressed, and a concept is developed that establishes the foundation for the feasible use of scenario-based distributed co-simulation on its basis. The main challenge identified and addressed is the resolution of the double-sided dependency between scenario and simulation models. The solution was to fully automate the generation and instantiation of the simulation environment on the basis of a scenario instance. Finally, the developed concept was implemented as a prototype, and the resulting process for its use is presented here using an example scenario. Based on the experience gained during the creation of the concept and the prototype, the next steps for future work are outlined in conclusion.

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“…The RTI is a software middleware permitting to interface multiple simulators and allowing data exchange for the concurrent co-simulation of the same mission scenario via a publish and subscribe mechanism. Several RTIs implementations are currently available, and previous work demonstrates CERTI open-access nature and high performance with large payload data sizes to be the optimal choice for this application [21]. An object-oriented programming approach is applied to the modeling and simulation of each satellite participating in the simulation.…”

Section: A Simulator Developmentmentioning

confidence: 99%

Advancing Satellite Network Performance: Network Analysis for Federated Satellite Systems

Scrocciolani,

Messina,

Alarcia

et al. 2024

IEEE Access

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An increasing number of satellite constellations being deployed in orbit fosters the introduction of a more efficient paradigm of distributed, interconnected orbital assets to ensure better resource exploitation in orbit. The goal of this paper is to illustrate through quantitative modeling the effects of nominal satellite operations and inter-satellite telecommunication hypotheses on the operations of a federated satellite system network. Key research questions addressed by this work include the performance quantification of a federated satellite system network in terms of network response and data volume exchanged under several onboard resource constraints. The applicability of a federated satellite system to a time-critical disaster response monitoring scenario has also been verified to assess the practical implementation of such a paradigm in reduced inter-satellite communicability conditions. A distributed simulator based on the IEEE 1516-2010 standard is employed to obtain the federated satellite system network topology according to the individual satellite operations to analyze the network performances, exploiting an approach based on the adjacency matrix of the network. Despite reduced communicability due to poor onboard resources availability, the federated satellite system proves to be an auto-sufficient and decentralized paradigm, capable of responding to a time-critical scenario such as a rapid mapping request after a natural disaster. As a result, this work provides the foundation for more detailed development of a federate satellite network, compliant with current radiofrequency regulations.

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Performance Evaluation of HLA RTI Implementations

Cited by 6 publications

References 7 publications

Multiscale co-simulation design pattern for neuroscience applications

Multiscale co-simulation design pattern for neuroscience applications

Ad hoc HLA simulation model derived from a model-based traffic scenario

Advancing Satellite Network Performance: Network Analysis for Federated Satellite Systems

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