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| Presentation | 2017-05-12 14:00 An RBT Decision Tree Construction for Sparse Rules Takashi Harada, Ken Tanaka (Kanagawa Univ.), Kenji Mikawa (Niigata Univ.)  COMP2017-2 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Packet classification problem is to determine the highest priority rule that matches with an incoming packet in a networking equipment among all the filtering rules implementing a packet classification policy. Since the number of rules $n$ in a rule list tends to increase, it is necessary to develop an algorithm to find the highest priority rule independent of $n$. Thus we proposed a data structure Run-Based Trie (RBT) and a classification algorithm using decision tree constructed on RBT[1],[2]. The decision tree classification method is independent of $n$. However, a space complexity of the decision tree is exponential order $O(n^{w})$ with $n$ rules of length $w$. Even for Rules with $w geq 18$ and sparse rules generated by ClassBench[3] the decision tree has not been constructed. In this paper, we propose a novel decision tree construction method that does not construct unnecessary nodes by referencing runs matched through the root node to a node $v$ when constructing a child node of $v$. The proposed method can construct the decision tree for sparse rules generated by ClassBench. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | packet classification / trie / decision tree / arbitrary bitmask / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 117, no. 28, COMP2017-2, pp. 9-15, May 2017. | |
| Paper # | COMP2017-2 | |
| Date of Issue | 2017-05-05 (COMP) | |
| ISSN | Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | COMP2017-2 |
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| Conference Information | |
| Committee | COMP IPSJ-AL |
| Conference Date | 2017-05-12 - 2017-05-13 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | COMP |
| Conference Code | 2017-05-COMP-AL |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | An RBT Decision Tree Construction for Sparse Rules |
| Sub Title (in English) | |
| Keyword(1) | packet classification |
| Keyword(2) | trie |
| Keyword(3) | decision tree |
| Keyword(4) | arbitrary bitmask |
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| 1st Author's Name | Takashi Harada |
| 1st Author's Affiliation | Kanagawa University (Kanagawa Univ.) |
| 2nd Author's Name | Ken Tanaka |
| 2nd Author's Affiliation | Kanagawa University (Kanagawa Univ.) |
| 3rd Author's Name | Kenji Mikawa |
| 3rd Author's Affiliation | Niigata University (Niigata Univ.) |
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| Speaker | Author-1 |
| Date Time | 2017-05-12 14:00:00 |
| Presentation Time | 30 minutes |
| Registration for | COMP |
| Paper # | COMP2017-2 |
| Volume (vol) | vol.117 |
| Number (no) | no.28 |
| Page | pp.9-15 |
| #Pages | 7 |
| Date of Issue | 2017-05-05 (COMP) |
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