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| Presentation | 2011-03-04 08:50 Network Tomography with l1/l2 Optimization Takahiro Matsuda (Osaka Univ.), Masaaki Nagahara, Kazunori Hayashi (Kyoto Univ.)  IN2010-179 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Network tomography is an inference technique for internal network characteristics such as link loss rates and link delays from end-to-end measurements. In this article, we propose a network tomography technique with compressed sensing, which is an emerging theory in signal/image processing for acquiring sparse vectors with l1 norm optimization. In the proposed scheme, compressed sensing works well as a two-class classifier of links as well as a link quality estimator. Namely, according to qualities of links, it classifies them into lower or higher quality classes and estimates the quality of links in the lower link class. Compressed sensing in the proposed scheme is based on l1/l2 optimization, where the cost function is defined as a linear combination of l1 and l2 norms. The parameter in the cost function can adjust the threshold of link quality between lower and higher quality classes. With simulation experiments, we evaluate the proposed scheme for link loss rates and link delays. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Network Tomography / Compressed Sensing / l1/l2 optimization / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 110, no. 449, IN2010-179, pp. 211-216, March 2011. | |
| Paper # | IN2010-179 | |
| Date of Issue | 2011-02-24 (IN) | |
| 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 | IN2010-179 |
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| Conference Information | |
| Committee | IN NS |
| Conference Date | 2011-03-03 - 2011-03-04 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Okinawa Convention Center |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | General, NS+IN workshop (March 3-4) |
| Paper Information | |
| Registration To | IN |
| Conference Code | 2011-03-IN-NS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Network Tomography with l1/l2 Optimization |
| Sub Title (in English) | |
| Keyword(1) | Network Tomography |
| Keyword(2) | Compressed Sensing |
| Keyword(3) | l1/l2 optimization |
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| 1st Author's Name | Takahiro Matsuda |
| 1st Author's Affiliation | Osaka University (Osaka Univ.) |
| 2nd Author's Name | Masaaki Nagahara |
| 2nd Author's Affiliation | Kyoto University (Kyoto Univ.) |
| 3rd Author's Name | Kazunori Hayashi |
| 3rd Author's Affiliation | Kyoto University (Kyoto Univ.) |
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| Speaker | Author-1 |
| Date Time | 2011-03-04 08:50:00 |
| Presentation Time | 20 minutes |
| Registration for | IN |
| Paper # | IN2010-179 |
| Volume (vol) | vol.110 |
| Number (no) | no.449 |
| Page | pp.211-216 |
| #Pages | 6 |
| Date of Issue | 2011-02-24 (IN) |
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