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Paper Abstract and Keywords
Presentation 2025-08-01 10:55
Proposal and Evaluation of Data Distribution Methods in Distributed Line Graphs
Yusei Saito, Taiga Ohara, Akiko Manada (NUT) IN2025-21
Abstract (in Japanese) (See Japanese page) 
(in English) The Distributed Line Graph (DLG), proposed by Zhang and Liu, is expected to be used as a basis for a new Distributed Hash Table (DHT) in P2P networks. DLG treats nodes as sequences of symbols, and the nodes (sequences) have a property that the identical symbol is not consecutive.
Therefore, deciding where to store the data (emph{i.e.} the destination node of the data),
it is necessary to generate a sequence (data IDs) for each data so that consecutive symbols do not appear. However, the existing method is a simple conversion algorithm that guarantees only non-contiguity of the identical symbol, and therefore, the generated data IDs are similar (in the sense of frequently containing the same subsequences), resulting in a bias toward destination nodes.

In this study, we propose an algorithm to generate data IDs to avoid a sequence of identical symbols and to reduce bias in the destination node. Specifically, we define the shift operation to obtain a symbol $s_{new}$ that is different from successive identical symbols $s$. Specifically, we define a shift operation to obtain a symbol $s_{new}$ that is different from $s$. The $s_{new}$ obtained by the shift operation is inserted or replaced to avoid a sequence of identical symbols. Through simulation experiments,
we evaluate the standard deviation and the range of $n_{bm{v}}$, where $n_{bm{v}}$ counts the number that node $bm v$ is assigned as a destination node,
and compare the results with previous studies to show their usefulness.
Keyword (in Japanese) (See Japanese page) 
(in English) Distributed Line Graph / Data Distribution / Shift Operation / / / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 137, IN2025-21, pp. 61-66, July 2025.
Paper # IN2025-21 
Date of Issue 2025-07-24 (IN) 
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 IN2025-21

Conference Information
Committee CCS IN  
Conference Date 2025-07-31 - 2025-08-01 
Place (in Japanese) (See Japanese page) 
Place (in English) Global Research Center for Food & Medical Innovation, Hokkaido Univ 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Network Science, Future Network, Cloud/SDN/Virtualization, Contents Delivery/Contents Exchange, and others 
Paper Information
Registration To IN 
Conference Code 2025-07-CCS-IN 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Proposal and Evaluation of Data Distribution Methods in Distributed Line Graphs 
Sub Title (in English)  
Keyword(1) Distributed Line Graph  
Keyword(2) Data Distribution  
Keyword(3) Shift Operation  
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1st Author's Name Yusei Saito  
1st Author's Affiliation Nagaoka University of Technology (NUT)
2nd Author's Name Taiga Ohara  
2nd Author's Affiliation Nagaoka University of Technology (NUT)
3rd Author's Name Akiko Manada  
3rd Author's Affiliation Nagaoka University of Technology (NUT)
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Speaker Author-1 
Date Time 2025-08-01 10:55:00 
Presentation Time 25 minutes 
Registration for IN 
Paper # IN2025-21 
Volume (vol) vol.125 
Number (no) no.137 
Page pp.61-66 
#Pages 6 
Date of Issue 2025-07-24 (IN) 

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