Packet classification categorizes incoming packets into multiple forwarding classes based on pre-defined filters. This categorization makes information accessible for quality of service or security handling in the network. In this paper, we propose a scheme which combines the Aggregate Bit Vector algorithm and the Pruned Tuple Space Search algorithm to improve the performance of packet classification in terms of speed and storage. We also present the procedures of incremental update. Our scheme is evaluated with filter databases of varying sizes and characteristics. The experimental results demonstrate that our scheme is feasible and scalable.
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Pi-Chung WANG, "Efficient Packet Classification with a Hybrid Algorithm" in IEICE TRANSACTIONS on Information,
vol. E92-D, no. 10, pp. 1915-1922, October 2009, doi: 10.1587/transinf.E92.D.1915.
Abstract: Packet classification categorizes incoming packets into multiple forwarding classes based on pre-defined filters. This categorization makes information accessible for quality of service or security handling in the network. In this paper, we propose a scheme which combines the Aggregate Bit Vector algorithm and the Pruned Tuple Space Search algorithm to improve the performance of packet classification in terms of speed and storage. We also present the procedures of incremental update. Our scheme is evaluated with filter databases of varying sizes and characteristics. The experimental results demonstrate that our scheme is feasible and scalable.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E92.D.1915/_p
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@ARTICLE{e92-d_10_1915,
author={Pi-Chung WANG, },
journal={IEICE TRANSACTIONS on Information},
title={Efficient Packet Classification with a Hybrid Algorithm},
year={2009},
volume={E92-D},
number={10},
pages={1915-1922},
abstract={Packet classification categorizes incoming packets into multiple forwarding classes based on pre-defined filters. This categorization makes information accessible for quality of service or security handling in the network. In this paper, we propose a scheme which combines the Aggregate Bit Vector algorithm and the Pruned Tuple Space Search algorithm to improve the performance of packet classification in terms of speed and storage. We also present the procedures of incremental update. Our scheme is evaluated with filter databases of varying sizes and characteristics. The experimental results demonstrate that our scheme is feasible and scalable.},
keywords={},
doi={10.1587/transinf.E92.D.1915},
ISSN={1745-1361},
month={October},}
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TY - JOUR
TI - Efficient Packet Classification with a Hybrid Algorithm
T2 - IEICE TRANSACTIONS on Information
SP - 1915
EP - 1922
AU - Pi-Chung WANG
PY - 2009
DO - 10.1587/transinf.E92.D.1915
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E92-D
IS - 10
JA - IEICE TRANSACTIONS on Information
Y1 - October 2009
AB - Packet classification categorizes incoming packets into multiple forwarding classes based on pre-defined filters. This categorization makes information accessible for quality of service or security handling in the network. In this paper, we propose a scheme which combines the Aggregate Bit Vector algorithm and the Pruned Tuple Space Search algorithm to improve the performance of packet classification in terms of speed and storage. We also present the procedures of incremental update. Our scheme is evaluated with filter databases of varying sizes and characteristics. The experimental results demonstrate that our scheme is feasible and scalable.
ER -