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Packet classification using multidimensional cutting

Authors:

Florin Baboescu,

George Varghese,

Jia WangAuthors Info & Claims

SIGCOMM '03: Proceedings of the 2003 conference on Applications, technologies, architectures, and protocols for computer communications

Pages 213 - 224

https://doi.org/10.1145/863955.863980

Published: 25 August 2003 Publication History

Abstract

This paper introduces a classification algorithm called phHyperCuts. Like the previously best known algorithm, HiCuts, HyperCuts is based on a decision tree structure. Unlike HiCuts, however, in which each node in the decision tree represents a hyperplane, each node in the HyperCuts decision tree represents a k--dimensional hypercube. Using this extra degree of freedom and a new set of heuristics to find optimal hypercubes for a given amount of storage, HyperCuts can provide an order of magnitude improvement over existing classification algorithms. HyperCuts uses 2 to 10 times less memory than HiCuts optimized for memory, while the worst case search time of HyperCuts is 50--500% better than that of HiCuts optimized for speed. Compared with another recent scheme, EGT-PC, HyperCuts uses 1.8--7 times less memory space while the worst case search time is up to 5 times smaller. More importantly, unlike EGT-PC, HyperCuts can be fully pipelined to provide one classification result every packet arrival time, and also allows fast updates.

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Cited By

Tan CLi Z(2024)MultiSplit: An Efficient Algorithm for Packet Classification with Equivalent PriorityElectronics10.3390/electronics1315296713:15(2967)Online publication date: 27-Jul-2024
https://doi.org/10.3390/electronics13152967
Li ZWang TLiu JZhang YMa TLiu K(2024)TuplePick: A High Stability Packet Classification based on Neural Network2024 IEEE 25th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)10.1109/WoWMoM60985.2024.00066(377-382)Online publication date: 4-Jun-2024
https://doi.org/10.1109/WoWMoM60985.2024.00066
Deng XXu MLi QWu WYang YZhang MZhou YWu J(2024)Exploring Dynamic Rule Caching Under Dependency Constraints for Programmable Switches: Theory, Algorithm, and ImplementationIEEE Transactions on Network and Service Management10.1109/TNSM.2024.342209221:4(4830-4843)Online publication date: Aug-2024
https://doi.org/10.1109/TNSM.2024.3422092
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Index Terms

Packet classification using multidimensional cutting
1. Networks
  1. Network components
    1. Intermediate nodes
      1. Routers

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Published In

cover image ACM Conferences

SIGCOMM '03: Proceedings of the 2003 conference on Applications, technologies, architectures, and protocols for computer communications

August 2003

432 pages

ISBN:1581137354

DOI:10.1145/863955

General Chairs:
Anja Feldmann
TU Munich
,
Martina Zitterbart
University of Karlsruhe
,
Program Chairs:
Jon Crowcroft
University of Cambridge
,
David Wetherall
University of Washington

Copyright © 2003 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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New York, NY, United States

Publication History

Published: 25 August 2003

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SIGCOMM03

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SIGCOMM03: Applications, Technologies, Architectures, and Protocols for Computer Communications

August 25 - 29, 2003

Karlsruhe, Germany

Acceptance Rates

SIGCOMM '03 Paper Acceptance Rate 34 of 319 submissions, 11%;

Overall Acceptance Rate 462 of 3,389 submissions, 14%

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Citations

Cited By

Tan CLi Z(2024)MultiSplit: An Efficient Algorithm for Packet Classification with Equivalent PriorityElectronics10.3390/electronics1315296713:15(2967)Online publication date: 27-Jul-2024
https://doi.org/10.3390/electronics13152967
Li ZWang TLiu JZhang YMa TLiu K(2024)TuplePick: A High Stability Packet Classification based on Neural Network2024 IEEE 25th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)10.1109/WoWMoM60985.2024.00066(377-382)Online publication date: 4-Jun-2024
https://doi.org/10.1109/WoWMoM60985.2024.00066
Deng XXu MLi QWu WYang YZhang MZhou YWu J(2024)Exploring Dynamic Rule Caching Under Dependency Constraints for Programmable Switches: Theory, Algorithm, and ImplementationIEEE Transactions on Network and Service Management10.1109/TNSM.2024.342209221:4(4830-4843)Online publication date: Aug-2024
https://doi.org/10.1109/TNSM.2024.3422092
Xin YLi WJia CLi XXu YLiu BTian ZZhang W(2024)Recursive Multi-Tree Construction With Efficient Rule Sifting for Packet Classification on FPGAIEEE/ACM Transactions on Networking10.1109/TNET.2023.333038132:2(1707-1722)Online publication date: Apr-2024
https://doi.org/10.1109/TNET.2023.3330381
Liao ZQian SZheng ZZhang JCao JXue GLi M(2024)PT-Tree: A Cascading Prefix Tuple Tree for Packet Classification in Dynamic ScenariosIEEE/ACM Transactions on Networking10.1109/TNET.2023.328902932:1(506-519)Online publication date: Feb-2024
https://doi.org/10.1109/TNET.2023.3289029
Xin YJia CLi WRottenstreich OXu YXie GTian ZLi J(2024)A Heterogeneous and Adaptive Architecture for Decision-tree-based ACL Engine on FPGAIEEE Transactions on Computers10.1109/TC.2024.3477955(1-14)Online publication date: 2024
https://doi.org/10.1109/TC.2024.3477955
Huang LZhu LYu JChen XZheng LZhang DWu C(2024)DOT: Towards Fast Decision Tree Packet Classification by Optimizing Rule Partitions2024 IEEE 49th Conference on Local Computer Networks (LCN)10.1109/LCN60385.2024.10639711(1-7)Online publication date: 8-Oct-2024
https://doi.org/10.1109/LCN60385.2024.10639711
Zhu LYu JHuang LLin HHuang KZhou ZZhang DChen XWu C(2024)TupleRadar: Accelerating Tuple Space Search in Packet Classification by Learned Index2024 IEEE/ACM 32nd International Symposium on Quality of Service (IWQoS)10.1109/IWQoS61813.2024.10682869(1-10)Online publication date: 19-Jun-2024
https://doi.org/10.1109/IWQoS61813.2024.10682869
Ou ZShih WHsieh TChang Y(2024)Improving Hierarchical Tree-Based Packet Classification by Reinforcement Learning2024 Fifteenth International Conference on Ubiquitous and Future Networks (ICUFN)10.1109/ICUFN61752.2024.10625263(336-341)Online publication date: 2-Jul-2024
https://doi.org/10.1109/ICUFN61752.2024.10625263
Gaur ARadhakrishnan SNarasimhan AAtiquzzaman M(2024)On Packet Classification with Multidimensional Range TreesICC 2024 - IEEE International Conference on Communications10.1109/ICC51166.2024.10622775(1084-1089)Online publication date: 9-Jun-2024
https://doi.org/10.1109/ICC51166.2024.10622775
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