Influence of network parameters on large-scale JCATS simulations: broadcast traffic, storm control, and client cpu load

The article explores the impact of network parameters on large-scale simulations within the Joint Conflict and Tactical Simulation (JCATS) environment, specifically focusing on aspects such as broadcast traffic, storm control, and client CPU load. As simulations expand to encompass over 100,000 entities, maintaining synchronization and responsiveness becomes increasingly challenging. Critical network parameters, such as latency, bandwidth, and the nature of traffic, significantly influence simulation outcomes. Particular attention is given to the challenges posed by broadcast storms, which can arise from excessive traffic, and their control through modern mechanisms that allow traffic limiting. Additionally, the article analyzes how the handling of broadcast messages affects the CPU load of clients, leading to user interface delays, simulation jitters, and increased resource utilization. Practical recommendations are provided for optimizing the scaling of JCATS, including network segmentation, implementation of storm control mechanisms, monitoring client performance, and utilizing traffic analysis tools. By employing these strategies, simulation operators can significantly enhance the efficiency and reliability of operations during large-scale simulations. The conclusions emphasize the importance of ongoing research in this field to ensure the robustness and effectiveness of simulations in the face of constant technological changes.

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Publication Details

Journal
The collection of scientific works of the National Academy of the National Guard of Ukraine
Published
2025-01-01
DOI
https://doi.org/10.33405/2409-7470/2025/1/45/339282
Primary Topic
Precipitation Measurement and Analysis
Type
article
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article

Influence of network parameters on large-scale JCATS simulations: broadcast traffic, storm control, and client cpu load

R. Nesterenko, Oleksii Ishchuk, S.O. Konstantinov
The collection of scientific works of the National Academy of the National Guard of Ukraine
Precipitation Measurement and Analysis
article

Influence of network parameters on large-scale JCATS simulations: broadcast traffic, storm control, and client cpu load

R. Nesterenko, Oleksii Ishchuk, S.O. Konstantinov
article en

Abstract

The article explores the impact of network parameters on large-scale simulations within the Joint Conflict and Tactical Simulation (JCATS) environment, specifically focusing on aspects such as broadcast traffic, storm control, and client CPU load. As simulations expand to encompass over 100,000 entities, maintaining synchronization and responsiveness becomes increasingly challenging. Critical network parameters, such as latency, bandwidth, and the nature of traffic, significantly influence simulation outcomes. Particular attention is given to the challenges posed by broadcast storms, which can arise from excessive traffic, and their control through modern mechanisms that allow traffic limiting. Additionally, the article analyzes how the handling of broadcast messages affects the CPU load of clients, leading to user interface delays, simulation jitters, and increased resource utilization. Practical recommendations are provided for optimizing the scaling of JCATS, including network segmentation, implementation of storm control mechanisms, monitoring client performance, and utilizing traffic analysis tools. By employing these strategies, simulation operators can significantly enhance the efficiency and reliability of operations during large-scale simulations. The conclusions emphasize the importance of ongoing research in this field to ensure the robustness and effectiveness of simulations in the face of constant technological changes.

The collection of scientific works of the National Academy of the National Guard of UkraineVol. 1(45)
Openalex Percentile: Top 70%
Precipitation Measurement and Analysis
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