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Paper Abstract and Keywords
Presentation 2021-05-13 14:50
Evaluation of the effect of vertex replication for random walk in autonomous distributed graphs
Yoichi Ozaki, Kunitake Kaneko (Keio Univ.) NS2021-19
Abstract (in Japanese) (See Japanese page) 
(in English) It is important to obtain a subgraph from a distributed graph by Random Walk while maintaining the rough structure of the whole graph. In contrast to the centralized management where graphs are partitioned and managed according to the coarseness of the overall graph, when graph vertices are managed in an autonomous distributed manner, the graph community and the vertex set managed by a single server (called "partition") do not coincide, and inter-server communication is expected to occur frequently. We defined the state where the community of graph data based on the modularity coincides with the partition as the ideal state that minimizes inter-server communication during Random Walk. We simulated various patterns of autonomous decentralized management by picking up some vertices and moving them to other partitions. After simulating autonomous decentralized management of the graph, we replicated vertices based on six vertex replication strategies, and experimentally clarified the effect of vertex replication in autonomous decentralized management on reducing the number of server-to-server communications during Random Walk using real-world graphs. In the experiment using the AS graph, inter-server communication in Random Walk is reduced by 38.8% and the number of vertices managed by all servers (including replicas) increases by 23.5% when
the top 5% of vertices ordered by its degree centrality is selected as the target vertices and the replicas are placed in the partitions to which the neighboring vertices of each target vertex belong.
Keyword (in Japanese) (See Japanese page) 
(in English) Autonomous distributed Graph / Random Walk / Degree Centrality / Vertex Replication / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 17, NS2021-19, pp. 26-31, May 2021.
Paper # NS2021-19 
Date of Issue 2021-05-06 (NS) 
ISSN Online edition: ISSN 2432-6380
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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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Conference Information
Committee NS  
Conference Date 2021-05-13 - 2021-05-14 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) High level protocol, Networking technologies (IP and high-layer routing/filtering, Multicast, Quality/Routing control), IP network application technologies (P2P, P4P, Overlay, SIP, NGN), Network system related technologies (System configuration, Interface, Architecture, Hardware/Software/Middleware), Security, Blockchain etc. 
Paper Information
Registration To NS 
Conference Code 2021-05-NS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Evaluation of the effect of vertex replication for random walk in autonomous distributed graphs 
Sub Title (in English)  
Keyword(1) Autonomous distributed Graph  
Keyword(2) Random Walk  
Keyword(3) Degree Centrality  
Keyword(4) Vertex Replication  
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1st Author's Name Yoichi Ozaki  
1st Author's Affiliation Keio University (Keio Univ.)
2nd Author's Name Kunitake Kaneko  
2nd Author's Affiliation Keio University (Keio Univ.)
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Speaker Author-1 
Date Time 2021-05-13 14:50:00 
Presentation Time 25 minutes 
Registration for NS 
Paper # NS2021-19 
Volume (vol) vol.121 
Number (no) no.17 
Page pp.26-31 
#Pages
Date of Issue 2021-05-06 (NS) 


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