@article{oai:ipsj.ixsq.nii.ac.jp:00095702,
 author = {Yusuke, Sakumoto and Hiroyuki, Ohsaki and Makoto, Imase and Yusuke, Sakumoto and Hiroyuki, Ohsaki and Makoto, Imase},
 issue = {3},
 journal = {Journal of information processing},
 month = {Jul},
 note = {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., 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.},
 pages = {481--489},
 title = {A Method for Accelerating Flow-level Network Simulation with Low-pass Filtering of Fluid Models},
 volume = {21},
 year = {2013}
}