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Packet classification using multidimensional cutting

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.

References

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  • (2024)MultiSplit: An Efficient Algorithm for Packet Classification with Equivalent PriorityElectronics10.3390/electronics1315296713:15(2967)Online publication date: 27-Jul-2024
  • (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
  • (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
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    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
    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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    Publication History

    Published: 25 August 2003

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    Author Tags

    1. QoS
    2. firewalls
    3. packet classification

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    SIGCOMM '03 Paper Acceptance Rate 34 of 319 submissions, 11%;
    Overall Acceptance Rate 462 of 3,389 submissions, 14%

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    Cited By

    View all
    • (2024)MultiSplit: An Efficient Algorithm for Packet Classification with Equivalent PriorityElectronics10.3390/electronics1315296713:15(2967)Online publication date: 27-Jul-2024
    • (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
    • (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
    • (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
    • (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
    • (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
    • (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
    • (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
    • (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
    • (2024)Partitioned 2D Set-Pruning Segment Trees with Compressed Buckets for Multi-Dimensional Packet ClassificationThe Computer Journal10.1093/comjnl/bxad13267:6(2189-2207)Online publication date: 2-Feb-2024
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