Realizing Large-Scale Interactive Network Simulation via Model Splitting

Abstract

This paper presents the model splitting method for large-scale interactive network simulation, which addresses the separation of concerns between network researchers, who focus on developing complex network models and conducting large-scale network experiments, and simulator developers, who are concerned with developing efficient simulation engines to achieve the best performance on parallel platforms. Modeling splitting divides the system into an interactive model to support user interaction, and an execution model to facilitate parallel processing. We describe techniques to maintain consistency and real-time synchronization between the two models. We also provide solutions to reduce the memory complexity of large network models and to ensure data persistency and access efficiency for out-of-core processing.