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| Presentation | 2016-11-24 10:35 [Encouragement Talk] Characteristic Analysis and Prediction Method of P2PTV Traffic Naoki Takeuchi, Takumi Miyoshi (Shibaura Inst. Tech.), Olivier Fourmaux (UPMC)  NS2016-103 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In recent years, video traffic has been increasing due to the huge demands of video streaming services. Peer-to-peer (P2P) video streaming services (P2PTV) have attracted attention as a solution to decrease the server load because P2P communication can distribute the video data to peers. However, the random peer selection mechanisms of P2PTV conduce to the worldwide spread of P2PTV traffic, and thus it is a large issue to analyze the characteristics of P2PTV traffic. Several traffic measurements have revealed the characteristics of P2PTV traffic. However, these studies do not focus on how to model a P2PTV traffic model. This paper analyzes the characteristics of P2PTV traffic generated when a user watches a video content to construct the P2PTV traffic model. As a result, we achieved to reveal several characteristics of P2PTV traffic in both stable and bursty traffic. Furthermore, we modeled P2PTV traffic by cumulative distribution function(CDF). Finally, we were able to reproduce the P2PTV traffic based on statistical information we obtained. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | P2PTV / PPStream / Traffic analysis / CDF / Throughput / Modeling / / | |
| Reference Info. | IEICE Tech. Rep., vol. 116, no. 322, NS2016-103, pp. 13-18, Nov. 2016. | |
| Paper # | NS2016-103 | |
| Date of Issue | 2016-11-17 (NS) | |
| 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 | NS2016-103 |
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| Conference Information | |
| Committee | NS CQ ICM NV |
| Conference Date | 2016-11-24 - 2016-11-25 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Shimonoseki Chember of Commerce and Industry |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Network Quality, Network Measurement and Management, Network Virtualization, Network Service, General |
| Paper Information | |
| Registration To | NS |
| Conference Code | 2016-11-NS-CQ-ICM-NV |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Characteristic Analysis and Prediction Method of P2PTV Traffic |
| Sub Title (in English) | |
| Keyword(1) | P2PTV |
| Keyword(2) | PPStream |
| Keyword(3) | Traffic analysis |
| Keyword(4) | CDF |
| Keyword(5) | Throughput |
| Keyword(6) | Modeling |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Naoki Takeuchi |
| 1st Author's Affiliation | Shibaura Institute of Technology (Shibaura Inst. Tech.) |
| 2nd Author's Name | Takumi Miyoshi |
| 2nd Author's Affiliation | Shibaura Institute of Technology (Shibaura Inst. Tech.) |
| 3rd Author's Name | Olivier Fourmaux |
| 3rd Author's Affiliation | Laboratoire d'Informatique de Paris 6 (UPMC) |
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| Speaker | Author-1 |
| Date Time | 2016-11-24 10:35:00 |
| Presentation Time | 25 minutes |
| Registration for | NS |
| Paper # | NS2016-103 |
| Volume (vol) | vol.116 |
| Number (no) | no.322 |
| Page | pp.13-18 |
| #Pages | 6 |
| Date of Issue | 2016-11-17 (NS) |
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