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| Presentation | 2020-01-10 11:25 [Encouragement Talk] A Two-stage Clustering Method for P2PTV Unit Traffic Classification and Its Evaluation Rina Ooka, Takumi Miyoshi, Taku Yamazaki (Shibaura Inst. of Tech.)  ICM2019-39 LOIS2019-54 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Peer-to-peer-based video streaming (P2PTV) in which user terminals (peers) directly communicate with each other has attracted attention due to the increase of popularity of video distribution services. Since the generated traffic is very different from the client/server model, it is necessary to understand the characteristics of P2PTV traffic for the network design and management. In our previous studies, we have obtained P2PTV traffic in watching each video content for a long time and analyzed the characteristics by classifying the obtained traffic data. However, the indices such as the number of peers and throughput fluctuate even during content viewing since the users dynamically join or leave the services. we then proposed a time-series P2PTV traffic classification method, but the extracted unit traffic is dependent on the content and not related to other unit traffic that appeared in other contents. In this paper, therefore, we propose a two-stage clustering method in order to extract common unit traffic independent of the contents. The proposed method first performs the first-stage unit traffic clustering on each video content, then creates the feature elements of the obtained clusters, and finally performs the second-stage clustering again. We also analyze traffic characteristics from the classification results of 100 P2PTV traffic data and evaluate the classification accuracy comparing with one-stage clustering. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | P2PTV / Two-stage clustering / Traffic analysis / Machine learning / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 358, ICM2019-39, pp. 51-56, Jan. 2020. | |
| Paper # | ICM2019-39 | |
| Date of Issue | 2020-01-02 (ICM, LOIS) | |
| ISSN | 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 | ICM2019-39 LOIS2019-54 |
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| Conference Information | |
| Committee | LOIS ICM |
| Conference Date | 2020-01-09 - 2020-01-10 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | ARKAS SASEBO |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Practical Use of Lifelog, Office Information System, Business Management, etc. |
| Paper Information | |
| Registration To | ICM |
| Conference Code | 2020-01-LOIS-ICM |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Two-stage Clustering Method for P2PTV Unit Traffic Classification and Its Evaluation |
| Sub Title (in English) | |
| Keyword(1) | P2PTV |
| Keyword(2) | Two-stage clustering |
| Keyword(3) | Traffic analysis |
| Keyword(4) | Machine learning |
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| 1st Author's Name | Rina Ooka |
| 1st Author's Affiliation | Shibaura Institute of Technology (Shibaura Inst. of Tech.) |
| 2nd Author's Name | Takumi Miyoshi |
| 2nd Author's Affiliation | Shibaura Institute of Technology (Shibaura Inst. of Tech.) |
| 3rd Author's Name | Taku Yamazaki |
| 3rd Author's Affiliation | Shibaura Institute of Technology (Shibaura Inst. of Tech.) |
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| Speaker | Author-1 |
| Date Time | 2020-01-10 11:25:00 |
| Presentation Time | 25 minutes |
| Registration for | ICM |
| Paper # | ICM2019-39, LOIS2019-54 |
| Volume (vol) | vol.119 |
| Number (no) | no.358(ICM), no.359(LOIS) |
| Page | pp.51-56 |
| #Pages | 6 |
| Date of Issue | 2020-01-02 (ICM, LOIS) |
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