Applying Software Defined Network (SDN) technology to wireless networks are attracting much attention. Our previous study proposed a channel utilization method based on SDN/OpenFlow technology to improve the channel utilization efficiency of the multi-channel wireless backhaul network (WBN). However, since control messages are inherently transmitted with data traffic on a same channel in WBN, it inevitably degrades the network capacity. Specifically, the amount of control messages for collecting statistical information of each flow (FlowStats) linearly increases with the number of ongoing flows, thereby being the dominant overhead for backhaul networks. In this paper, we propose a new method that prevents the increase of control traffic while retaining the network performance of the previous method. Our proposed method uses statistical information of each interface (PortStats) instead of per-flow information (FlowStats), and handles multiple flows on the interface together if possible. Otherwise, to handle individual flow, we propose a way to estimate per-flow information without introducing extra control messages. Finally, we show that the proposed method offers the same performance with the previous method, while greatly reducing the amount of control traffic.
Yuzo TAENAKA
The University of Tokyo
Kazuki MIZUYAMA
Kyushu Institute of Technology
Kazuya TSUKAMOTO
Kyushu Institute of Technology
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Yuzo TAENAKA, Kazuki MIZUYAMA, Kazuya TSUKAMOTO, "Adaptive Bundle Flow Management for Reducing Control Traffic on SDN-Enabled Multi-Radio Wireless Networks" in IEICE TRANSACTIONS on Communications,
vol. E101-B, no. 7, pp. 1685-1692, July 2018, doi: 10.1587/transcom.2017EBT0004.
Abstract: Applying Software Defined Network (SDN) technology to wireless networks are attracting much attention. Our previous study proposed a channel utilization method based on SDN/OpenFlow technology to improve the channel utilization efficiency of the multi-channel wireless backhaul network (WBN). However, since control messages are inherently transmitted with data traffic on a same channel in WBN, it inevitably degrades the network capacity. Specifically, the amount of control messages for collecting statistical information of each flow (FlowStats) linearly increases with the number of ongoing flows, thereby being the dominant overhead for backhaul networks. In this paper, we propose a new method that prevents the increase of control traffic while retaining the network performance of the previous method. Our proposed method uses statistical information of each interface (PortStats) instead of per-flow information (FlowStats), and handles multiple flows on the interface together if possible. Otherwise, to handle individual flow, we propose a way to estimate per-flow information without introducing extra control messages. Finally, we show that the proposed method offers the same performance with the previous method, while greatly reducing the amount of control traffic.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2017EBT0004/_p
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@ARTICLE{e101-b_7_1685,
author={Yuzo TAENAKA, Kazuki MIZUYAMA, Kazuya TSUKAMOTO, },
journal={IEICE TRANSACTIONS on Communications},
title={Adaptive Bundle Flow Management for Reducing Control Traffic on SDN-Enabled Multi-Radio Wireless Networks},
year={2018},
volume={E101-B},
number={7},
pages={1685-1692},
abstract={Applying Software Defined Network (SDN) technology to wireless networks are attracting much attention. Our previous study proposed a channel utilization method based on SDN/OpenFlow technology to improve the channel utilization efficiency of the multi-channel wireless backhaul network (WBN). However, since control messages are inherently transmitted with data traffic on a same channel in WBN, it inevitably degrades the network capacity. Specifically, the amount of control messages for collecting statistical information of each flow (FlowStats) linearly increases with the number of ongoing flows, thereby being the dominant overhead for backhaul networks. In this paper, we propose a new method that prevents the increase of control traffic while retaining the network performance of the previous method. Our proposed method uses statistical information of each interface (PortStats) instead of per-flow information (FlowStats), and handles multiple flows on the interface together if possible. Otherwise, to handle individual flow, we propose a way to estimate per-flow information without introducing extra control messages. Finally, we show that the proposed method offers the same performance with the previous method, while greatly reducing the amount of control traffic.},
keywords={},
doi={10.1587/transcom.2017EBT0004},
ISSN={1745-1345},
month={July},}
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TY - JOUR
TI - Adaptive Bundle Flow Management for Reducing Control Traffic on SDN-Enabled Multi-Radio Wireless Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 1685
EP - 1692
AU - Yuzo TAENAKA
AU - Kazuki MIZUYAMA
AU - Kazuya TSUKAMOTO
PY - 2018
DO - 10.1587/transcom.2017EBT0004
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E101-B
IS - 7
JA - IEICE TRANSACTIONS on Communications
Y1 - July 2018
AB - Applying Software Defined Network (SDN) technology to wireless networks are attracting much attention. Our previous study proposed a channel utilization method based on SDN/OpenFlow technology to improve the channel utilization efficiency of the multi-channel wireless backhaul network (WBN). However, since control messages are inherently transmitted with data traffic on a same channel in WBN, it inevitably degrades the network capacity. Specifically, the amount of control messages for collecting statistical information of each flow (FlowStats) linearly increases with the number of ongoing flows, thereby being the dominant overhead for backhaul networks. In this paper, we propose a new method that prevents the increase of control traffic while retaining the network performance of the previous method. Our proposed method uses statistical information of each interface (PortStats) instead of per-flow information (FlowStats), and handles multiple flows on the interface together if possible. Otherwise, to handle individual flow, we propose a way to estimate per-flow information without introducing extra control messages. Finally, we show that the proposed method offers the same performance with the previous method, while greatly reducing the amount of control traffic.
ER -