Accelerating Flow-Level Network Simulation with Low-Pass Filtering of Fluid Models

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  • Sakumoto Yusuke
    Graduate School of System Design, Tokyo Metropolitan University
  • Ohsaki Hiroyuki
    Graduate School of Information Science and Technology, Osaka University
  • Imase Makoto
    Graduate School of Information Science and Technology, Osaka University

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  • A Method for Accelerating Flow-level Network Simulation with Low-pass Filtering of Fluid Models

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Conventional flow-level simulators use timescales around the round-trip time when numerically solving fluid-flow models for network simulations. In large-scale and high-speed network simulations, only understanding coarser behavior than that achieved with timescales around the round-trip time is sometimes sufficient for performance evaluation. In this paper, we propose a novel method for accelerating flow-level simulations; it omits timescale finer than that required by the performance evaluation. Through experiments, we investigate the effectiveness of the proposed method for accelerating flow-level simulations. Our findings show that the proposed method offers 60 times faster than the conventional flow-level simulator.

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