Introducing adaptive online data compression at network-internal nodes is considered for alleviating traffic congestion on the network. In this paper, we assume that advanced relay nodes, which possess both a relay function (network resource) and a processing function (computational and storage resources), are placed inside the network, and we propose an adaptive online lossless packet compression scheme utilized at these nodes. This scheme selectively compresses a packet according to its waiting time in the queue during congestion. Through preliminary investigation using actual traffic datasets, we investigate the compression ratio and processing time of packet-by-packet compression in actual network environments. Then, by means of computer simulations, we show that the proposed scheme reduces the packet delay time and discard rate and investigate factors necessary in achieving efficient packet relay.
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Masayoshi SHIMAMURA, Hiroyuki KOGA, Takeshi IKENAGA, Masato TSURU, "Compressing Packets Adaptively Inside Networks" in IEICE TRANSACTIONS on Communications,
vol. E93-B, no. 3, pp. 501-515, March 2010, doi: 10.1587/transcom.E93.B.501.
Abstract: Introducing adaptive online data compression at network-internal nodes is considered for alleviating traffic congestion on the network. In this paper, we assume that advanced relay nodes, which possess both a relay function (network resource) and a processing function (computational and storage resources), are placed inside the network, and we propose an adaptive online lossless packet compression scheme utilized at these nodes. This scheme selectively compresses a packet according to its waiting time in the queue during congestion. Through preliminary investigation using actual traffic datasets, we investigate the compression ratio and processing time of packet-by-packet compression in actual network environments. Then, by means of computer simulations, we show that the proposed scheme reduces the packet delay time and discard rate and investigate factors necessary in achieving efficient packet relay.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E93.B.501/_p
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@ARTICLE{e93-b_3_501,
author={Masayoshi SHIMAMURA, Hiroyuki KOGA, Takeshi IKENAGA, Masato TSURU, },
journal={IEICE TRANSACTIONS on Communications},
title={Compressing Packets Adaptively Inside Networks},
year={2010},
volume={E93-B},
number={3},
pages={501-515},
abstract={Introducing adaptive online data compression at network-internal nodes is considered for alleviating traffic congestion on the network. In this paper, we assume that advanced relay nodes, which possess both a relay function (network resource) and a processing function (computational and storage resources), are placed inside the network, and we propose an adaptive online lossless packet compression scheme utilized at these nodes. This scheme selectively compresses a packet according to its waiting time in the queue during congestion. Through preliminary investigation using actual traffic datasets, we investigate the compression ratio and processing time of packet-by-packet compression in actual network environments. Then, by means of computer simulations, we show that the proposed scheme reduces the packet delay time and discard rate and investigate factors necessary in achieving efficient packet relay.},
keywords={},
doi={10.1587/transcom.E93.B.501},
ISSN={1745-1345},
month={March},}
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TY - JOUR
TI - Compressing Packets Adaptively Inside Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 501
EP - 515
AU - Masayoshi SHIMAMURA
AU - Hiroyuki KOGA
AU - Takeshi IKENAGA
AU - Masato TSURU
PY - 2010
DO - 10.1587/transcom.E93.B.501
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E93-B
IS - 3
JA - IEICE TRANSACTIONS on Communications
Y1 - March 2010
AB - Introducing adaptive online data compression at network-internal nodes is considered for alleviating traffic congestion on the network. In this paper, we assume that advanced relay nodes, which possess both a relay function (network resource) and a processing function (computational and storage resources), are placed inside the network, and we propose an adaptive online lossless packet compression scheme utilized at these nodes. This scheme selectively compresses a packet according to its waiting time in the queue during congestion. Through preliminary investigation using actual traffic datasets, we investigate the compression ratio and processing time of packet-by-packet compression in actual network environments. Then, by means of computer simulations, we show that the proposed scheme reduces the packet delay time and discard rate and investigate factors necessary in achieving efficient packet relay.
ER -