IEICE TRANSACTIONS on Communications
Performance Improvement of Packet Classification for Enabling Differentiated Services
Summary :
In differentiated services, packet classification is used to categorize incoming packets into multiple forwarding classes based on pre-defined filters and make information accessible for quality of service. Although numerous algorithms have presented novel data structures to improve the search performance of packet classification, the performance of these algorithms are usually limited by the characteristics of filter databases. In this paper, we use a different approach of filter preprocessing to enhance the search performance of packet classification. Before generating the searchable data structures, we cluster filters in a bottom-up manner. The procedure of the filter clustering merges filters with high degrees of similarity. The experimental results show that the technique of filter clustering could significantly improve the search performance of Pruned Tuple Space Search, a notable hash-based algorithm. As compared to the prominent existing algorithms, our enhanced Pruned Tuple Space Search also has superior performance in terms of speed and space.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E93-B No.6 pp.1403-1410
- Publication Date
- 2010/06/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.E93.B.1403
- Type of Manuscript
- Special Section PAPER (Special Section on Quality of Communication Networks and Services)
- Category
Authors
Keyword
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Pi-Chung WANG, "Performance Improvement of Packet Classification for Enabling Differentiated Services" in IEICE TRANSACTIONS on Communications,
vol. E93-B, no. 6, pp. 1403-1410, June 2010, doi: 10.1587/transcom.E93.B.1403.
Abstract: In differentiated services, packet classification is used to categorize incoming packets into multiple forwarding classes based on pre-defined filters and make information accessible for quality of service. Although numerous algorithms have presented novel data structures to improve the search performance of packet classification, the performance of these algorithms are usually limited by the characteristics of filter databases. In this paper, we use a different approach of filter preprocessing to enhance the search performance of packet classification. Before generating the searchable data structures, we cluster filters in a bottom-up manner. The procedure of the filter clustering merges filters with high degrees of similarity. The experimental results show that the technique of filter clustering could significantly improve the search performance of Pruned Tuple Space Search, a notable hash-based algorithm. As compared to the prominent existing algorithms, our enhanced Pruned Tuple Space Search also has superior performance in terms of speed and space.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E93.B.1403/_p
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@ARTICLE{e93-b_6_1403,
author={Pi-Chung WANG, },
journal={IEICE TRANSACTIONS on Communications},
title={Performance Improvement of Packet Classification for Enabling Differentiated Services},
year={2010},
volume={E93-B},
number={6},
pages={1403-1410},
abstract={In differentiated services, packet classification is used to categorize incoming packets into multiple forwarding classes based on pre-defined filters and make information accessible for quality of service. Although numerous algorithms have presented novel data structures to improve the search performance of packet classification, the performance of these algorithms are usually limited by the characteristics of filter databases. In this paper, we use a different approach of filter preprocessing to enhance the search performance of packet classification. Before generating the searchable data structures, we cluster filters in a bottom-up manner. The procedure of the filter clustering merges filters with high degrees of similarity. The experimental results show that the technique of filter clustering could significantly improve the search performance of Pruned Tuple Space Search, a notable hash-based algorithm. As compared to the prominent existing algorithms, our enhanced Pruned Tuple Space Search also has superior performance in terms of speed and space.},
keywords={},
doi={10.1587/transcom.E93.B.1403},
ISSN={1745-1345},
month={June},}
Copy
TY - JOUR
TI - Performance Improvement of Packet Classification for Enabling Differentiated Services
T2 - IEICE TRANSACTIONS on Communications
SP - 1403
EP - 1410
AU - Pi-Chung WANG
PY - 2010
DO - 10.1587/transcom.E93.B.1403
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E93-B
IS - 6
JA - IEICE TRANSACTIONS on Communications
Y1 - June 2010
AB - In differentiated services, packet classification is used to categorize incoming packets into multiple forwarding classes based on pre-defined filters and make information accessible for quality of service. Although numerous algorithms have presented novel data structures to improve the search performance of packet classification, the performance of these algorithms are usually limited by the characteristics of filter databases. In this paper, we use a different approach of filter preprocessing to enhance the search performance of packet classification. Before generating the searchable data structures, we cluster filters in a bottom-up manner. The procedure of the filter clustering merges filters with high degrees of similarity. The experimental results show that the technique of filter clustering could significantly improve the search performance of Pruned Tuple Space Search, a notable hash-based algorithm. As compared to the prominent existing algorithms, our enhanced Pruned Tuple Space Search also has superior performance in terms of speed and space.
ER -
English
