This paper proposes an idea for modeling aggregated TCP/IP traffic arriving at a bottleneck link by focusing on its scaling behavior. Here, the aggregated TCP/IP traffic means the IP packet traffic from many TCP connections sharing the bottleneck link. The model is constructed based on the outcomes of our previous works investigating how the TCP/IP networking mechanism affects the self-similar scaling behavior of the aggregated TCP/IP traffic in a LAN/WAN environment. The proposed traffic model has been examined from the perspective of application to network performance estimation. The examinations have shown that it models the scaling behavior and queueing behavior of actual traffic, though it neglects the interaction among TCP connections that compete with each other for the single bottleneck link bandwidth.
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Hiroki FURUYA, Masaki FUKUSHIMA, Hajime NAKAMURA, Shinichi NOMOTO, "Modeling of Aggregated TCP/IP Traffic on a Bottleneck Link Based on Scaling Behavior" in IEICE TRANSACTIONS on Communications,
vol. E85-B, no. 9, pp. 1756-1765, September 2002, doi: .
Abstract: This paper proposes an idea for modeling aggregated TCP/IP traffic arriving at a bottleneck link by focusing on its scaling behavior. Here, the aggregated TCP/IP traffic means the IP packet traffic from many TCP connections sharing the bottleneck link. The model is constructed based on the outcomes of our previous works investigating how the TCP/IP networking mechanism affects the self-similar scaling behavior of the aggregated TCP/IP traffic in a LAN/WAN environment. The proposed traffic model has been examined from the perspective of application to network performance estimation. The examinations have shown that it models the scaling behavior and queueing behavior of actual traffic, though it neglects the interaction among TCP connections that compete with each other for the single bottleneck link bandwidth.
URL: https://global.ieice.org/en_transactions/communications/10.1587/e85-b_9_1756/_p
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@ARTICLE{e85-b_9_1756,
author={Hiroki FURUYA, Masaki FUKUSHIMA, Hajime NAKAMURA, Shinichi NOMOTO, },
journal={IEICE TRANSACTIONS on Communications},
title={Modeling of Aggregated TCP/IP Traffic on a Bottleneck Link Based on Scaling Behavior},
year={2002},
volume={E85-B},
number={9},
pages={1756-1765},
abstract={This paper proposes an idea for modeling aggregated TCP/IP traffic arriving at a bottleneck link by focusing on its scaling behavior. Here, the aggregated TCP/IP traffic means the IP packet traffic from many TCP connections sharing the bottleneck link. The model is constructed based on the outcomes of our previous works investigating how the TCP/IP networking mechanism affects the self-similar scaling behavior of the aggregated TCP/IP traffic in a LAN/WAN environment. The proposed traffic model has been examined from the perspective of application to network performance estimation. The examinations have shown that it models the scaling behavior and queueing behavior of actual traffic, though it neglects the interaction among TCP connections that compete with each other for the single bottleneck link bandwidth.},
keywords={},
doi={},
ISSN={},
month={September},}
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TY - JOUR
TI - Modeling of Aggregated TCP/IP Traffic on a Bottleneck Link Based on Scaling Behavior
T2 - IEICE TRANSACTIONS on Communications
SP - 1756
EP - 1765
AU - Hiroki FURUYA
AU - Masaki FUKUSHIMA
AU - Hajime NAKAMURA
AU - Shinichi NOMOTO
PY - 2002
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E85-B
IS - 9
JA - IEICE TRANSACTIONS on Communications
Y1 - September 2002
AB - This paper proposes an idea for modeling aggregated TCP/IP traffic arriving at a bottleneck link by focusing on its scaling behavior. Here, the aggregated TCP/IP traffic means the IP packet traffic from many TCP connections sharing the bottleneck link. The model is constructed based on the outcomes of our previous works investigating how the TCP/IP networking mechanism affects the self-similar scaling behavior of the aggregated TCP/IP traffic in a LAN/WAN environment. The proposed traffic model has been examined from the perspective of application to network performance estimation. The examinations have shown that it models the scaling behavior and queueing behavior of actual traffic, though it neglects the interaction among TCP connections that compete with each other for the single bottleneck link bandwidth.
ER -