Paper Abstract and Keywords |
Presentation |
2022-03-08 15:45
Dynamic Content Deployment Method Using Content Demand Prediction in Peer-to-Peer Network with Cloud Storage Kazumasa Takahashi, Shinji Sugawara (Chiba Inst. Tech.) SITE2021-63 IA2021-76 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In recent years, various contents such as documents, music, and movies are actively exchanged among users on the network due to high performance of computers and wide bandwidth of the network. In addition, the demand for content sharing among users is increasing day by day, and content sharing over the network is getting more active.
In content sharing in a P2P network, the content items held by a peer may be lost due to the peer's failure or disconnection from the network. In order to prevent this, a replication and deployment method is used, in which replicas of the content are placed on the other peers.
However, in the conventional method, it takes time for the replicas to be spread over the network, and the content may disappear before it has spread sufficiently.
Therefore, in this paper, in addition to the conventional replication and deployment method, we focus on the change in popularity of the content over time and predict the demand for each content item after a certain period of time, propose a content sharing system that suppresses content loss and reduces the network load. The effectiveness of the system is confirmed by computer simulation. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Peer-to-Peer / Content Shering / Dynamic Replication / Content Demand Prediction / Cloud Storage / / / |
Reference Info. |
IEICE Tech. Rep., vol. 121, no. 409, IA2021-76, pp. 101-106, March 2022. |
Paper # |
IA2021-76 |
Date of Issue |
2022-02-28 (SITE, IA) |
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) |
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SITE2021-63 IA2021-76 |
Conference Information |
Committee |
IA SITE IPSJ-IOT |
Conference Date |
2022-03-07 - 2022-03-08 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Kyoto University, Yoshida Campus |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Internet and Information Ethics Education, etc. |
Paper Information |
Registration To |
IA |
Conference Code |
2022-03-IA-SITE-IOT |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Dynamic Content Deployment Method Using Content Demand Prediction in Peer-to-Peer Network with Cloud Storage |
Sub Title (in English) |
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Peer-to-Peer |
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Content Shering |
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Dynamic Replication |
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Content Demand Prediction |
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Cloud Storage |
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1st Author's Name |
Kazumasa Takahashi |
1st Author's Affiliation |
Chiba Institute of Technology (Chiba Inst. Tech.) |
2nd Author's Name |
Shinji Sugawara |
2nd Author's Affiliation |
Chiba Institute of Technology (Chiba Inst. Tech.) |
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Speaker |
Author-1 |
Date Time |
2022-03-08 15:45:00 |
Presentation Time |
25 minutes |
Registration for |
IA |
Paper # |
SITE2021-63, IA2021-76 |
Volume (vol) |
vol.121 |
Number (no) |
no.408(SITE), no.409(IA) |
Page |
pp.101-106 |
#Pages |
6 |
Date of Issue |
2022-02-28 (SITE, IA) |
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