In the field of traffic simulation, the shift towards large-scale, time-driven models marks a significant departure from traditional event-driven mechanisms, necessitating robust traffic dynamics that accurately capture the complexities of urban ...

P4, an emerging technology enabling flexible and programmable data plane processing in network devices, has garnered significant attention for revolutionizing in-network operations. Validating P4 programs requires specially designed testing environments ...

Despite recent leaps in artificial intelligence and natural language generation, which have led to widespread adoption, the integration of large language models in modelling and simulation has been limited. This work discusses the use of pre-trained ...

Modern-day Supply Chains (SC) are intricate networks spanning the globe, that are vulnerable to disruptions ranging from natural calamities to changing international policies. Their design, optimization and management requires a consideration of aspects ...

To keep up with the times, supercomputers have to evolve as do the applications they enable in science, national security and artificial intelligence. To do so, the best strategy we have is to simulate how changes in their algorithms and architecture ...

We present a cyber-physical testbed that synchronizes power simulation with programmable network emulation, specifically designed for evaluating the security of SCADA systems within smart grids. This testbed demonstrates the utilization of information ...

Over the last few years, Digital Twin (DT) has emerged as an innovative concept that integrates multiple technologies to mirror physical assets, systems, and processes. Assisted by data analytics, predictive models, and optimisation techniques, DTs are ...

We develop a deep learning surrogate model to accelerate parallel discrete event simulation (PDES) in high-performance computing (HPC) networks, addressing the computational challenges of traditional methods as HPC scales to larger and more complex ...

Parallel Discrete Event Simulation (PDES) has been the target of many optimizations through the years. However, PDES on shared-memory and multi-core machines still lacks a broader consideration of memory-awareness to enhance its performance. The aim of ...

This paper presents an outline and work-in-progress for a GUI based, cloud-hosted Automated Model Generation framework targeted for discrete-event digital twins in applications such as manufacturing. The framework consists of two components. The first ...

The live identification of emergent behavior in complex systems with little a-priori information is a challenging task and existing approaches are either applicable to a small subset of models or do not scale well. In contrast, post-mortem approaches ...

Vehicular Ad-hoc Network (VANET) simulations are integral to pave way for rapid adoption of Intelligent Transportation Systems (ITS) applications. Popular VANET simulators are built with high-fidelity network and mobility models to enable comprehensive ...

Parallel discrete event simulation is a fundamental simulation technology that is essential to the parallelization of event-based models including hardware and transportation systems. Parallelization is often difficult due to dynamic data-dependencies ...

We examine how issues of investigative and experimental parity between real-world domain science and virtual reality (VR) involving human-environment behavior might be advanced, particularly in the use case of safety science for road-crossing. Our ...

Increasing effort is put into the development of methods for learning mechanistic models from data. This task entails not only the accurate estimation of parameters but also a suitable model structure. Recent work on the discovery of dynamical systems ...

Despite the successes of graphics processing units (GPUs) in accelerating simulations in several research fields, their use is largely restricted to domain-specific workloads that consistently offer the large degree of inherent parallelism and ...

Interconnect networks are the foundation for modern high performance computing (HPC) systems. Parallel discrete event simulation (PDES), serving as a cornerstone in the study of large-scale networking systems by modeling and simulating the real-world ...

Parallel Discrete Event Simulation (PDES) is a modelling technique that takes advantage of concurrent computing resources. However, its asynchronous nature can present challenges for efficient execution. This paper proposes a new non-blocking management ...

Payment Channel Networks (PCNs) promise to solve the scalability (and privacy) issue of blockchains. Understanding them is a key pillar to define a payment system, such as a blockchain-based Central Bank Digital Currency, that can correctly sustain a ...