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Paper Abstract and Keywords
Presentation 2026-03-04 10:00
Modeling and Optimization of Data Dissemination and Retrieval in Spatio-Temporal Data-Retention System
Ryo Nakamura, Makoto Misumi (Fukuoka Univ.), Daiki Nobayashi, Kazuya Tsukamoto, Takeshi Ikenaga (KIT) SITE2025-91 IA2025-90
Abstract (in Japanese) (See Japanese page) 
(in English) We have proposed a Spatio-Temporal Data-Retention System as a way to disseminate {em spatio-temporal data} within a specific area, aiming to achieve local production and local consumption of data. To improve the efficiency of the proposed system, we consider incorporating the communication paradigm of Information-Centric Networking~(ICN), in particular, active data retrieval. Conventional push-based data dissemination with retention and pull-based data retrieval with ICN have their own advantages and disadvantages. Therefore, it is essential to appropriately select the communication mode depending on data properties. In this paper, we investigate the optimal assignment of communication modes according to data properties. Specifically, we describe a system model in which push-based and pull-based communications coexist, and formulate the mode assignment problem as an optimization problem. The formulated optimization problem is categorized depending on whether the communication capacity is constrained or not. First, under the assumption of unlimited communication capacity, we derive the optimal assignment analytically. Then, for the capacity-constrained case, we propose a greedy algorithm to obtain an approximate solution. Moreover, through numerical examples, we investigate how data properties affect the optimal assignment of communication modes, and then discuss assignment policies.
Keyword (in Japanese) (See Japanese page) 
(in English) Data Retention / Spatio-Temporal Data / Information-Centric Networking / Network Optimization / / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 379, IA2025-90, pp. 90-95, March 2026.
Paper # IA2025-90 
Date of Issue 2026-02-24 (SITE, IA) 
ISSN Online edition: ISSN 2432-6380
Copyright
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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 SITE2025-91 IA2025-90

Conference Information
Committee IA SITE IPSJ-IOT  
Conference Date 2026-03-03 - 2026-03-05 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa Industry Support Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Internet and Information Ethics Education, etc. 
Paper Information
Registration To IA 
Conference Code 2026-03-IA-SITE-IOT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Modeling and Optimization of Data Dissemination and Retrieval in Spatio-Temporal Data-Retention System 
Sub Title (in English)  
Keyword(1) Data Retention  
Keyword(2) Spatio-Temporal Data  
Keyword(3) Information-Centric Networking  
Keyword(4) Network Optimization  
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1st Author's Name Ryo Nakamura  
1st Author's Affiliation Fukuoka University (Fukuoka Univ.)
2nd Author's Name Makoto Misumi  
2nd Author's Affiliation Fukuoka University (Fukuoka Univ.)
3rd Author's Name Daiki Nobayashi  
3rd Author's Affiliation Kyusyu Institute of Technology (KIT)
4th Author's Name Kazuya Tsukamoto  
4th Author's Affiliation Kyusyu Institute of Technology (KIT)
5th Author's Name Takeshi Ikenaga  
5th Author's Affiliation Kyusyu Institute of Technology (KIT)
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Speaker Author-1 
Date Time 2026-03-04 10:00:00 
Presentation Time 25 minutes 
Registration for IA 
Paper # SITE2025-91, IA2025-90 
Volume (vol) vol.125 
Number (no) no.378(SITE), no.379(IA) 
Page pp.90-95 
#Pages
Date of Issue 2026-02-24 (SITE, IA) 


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