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Many social systems can be described in terms of complex networks of interacting dynamic entities. The research on social system's dynamics, such as epidemic or rumor spreading, are often suffered from constraints of relatively small to medium scale networks, or dependence on the underlying network assumptions, resulting in limited capacity for dynamics prediction. This paper proposes SUPE-Net, an...
Event Graph (EG) formalism is a simple, powerful and language-independent way of representing Discrete Event Simulation (DES) models. Parallel Discrete Event Simulation (PDES), which leverages the power of parallel processing, can significantly improve the performance and capacity of DES. However, most of the state-of-the-art parallel simulators are based on the logical process (LP) paradigm, and...
The notion of logical processes is a widely used modeling paradigm in parallel and distributed discrete-event simulation. Yet, the comparison among different simulation algorithms for LP models still remains difficult. Most simulation systems only provide a small subset of available algorithms, which are usually selected and tuned towards specific applications. Furthermore, many modeling and simulation...
With the increasing demands for large-scale and fine-resolution models, simulations of the reaction-diffusion systems are becoming more and more time consuming. Combined with the Stochastic Simulation Method (SSA), the Parallel Discrete-Event Simulation (PDES) is a promising approach to utilize the parallelism in these models. Since synchronization algorithms play the key role in PDES, in this paper,...
Parallel discrete event simulation (PDES) and high level architecture (HLA) based distributed simulation need to collaborate to conquer the large-scale complex systems. PDES aims at making best use of supercomputing resources while HLA focus on the interoperability of geographically distributed independent simulations. This presents particular challenges on the interoperability between PDES and HLA...
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