| Paper Abstract and Keywords |
| Presentation |
2022-01-28 10:50
[Encouragement Talk]
Degree Based Vertex Replication Method for Random Walk in Autonomous Distributed Graphs Ozaki Yoichi, Kaneko Kunitake (Keio Univ.) NS2021-116 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
In autonomously distributed graphs, the vertex set placed on a server does not always follow the community structure of the graph data, and thus frequent inter-server communication is a problem when running Random Walk. Therefore, we proposed to replicate vertices so that Random Walkers can walk longer in the same server. When the modularity of the partition is small, replication of higher in-degree/PageRank nodes works well. Evaluation shows that higher in-degree/PageRank nodes is effective when the modularity of partition is greater than 0.04, and that replication of top-1% nodes can reduce the number of communications by 15% when the modularity of the partition is 0.5. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Autonomous Distributed Graph / Random Walk / Graph Partitioning / Community / Modularity / Node Replication / / |
| Reference Info. |
IEICE Tech. Rep., vol. 121, no. 356, NS2021-116, pp. 36-41, Jan. 2022. |
| Paper # |
NS2021-116 |
| Date of Issue |
2022-01-20 (NS) |
| 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 |
NS2021-116 |
| Conference Information |
| Committee |
NS NWS |
| Conference Date |
2022-01-27 - 2022-01-28 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Online |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Network software (Software architecture, Middleware), Network application, SOA/SDP, NGN/IMS/API, Distributed control/Dynamic routing, Grid, NFV, IoT, Network/System reliability, Network/System evaluation, etc. |
| Paper Information |
| Registration To |
NS |
| Conference Code |
2022-01-NS-NWS |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Degree Based Vertex Replication Method for Random Walk in Autonomous Distributed Graphs |
| Sub Title (in English) |
|
| Keyword(1) |
Autonomous Distributed Graph |
| Keyword(2) |
Random Walk |
| Keyword(3) |
Graph Partitioning |
| Keyword(4) |
Community |
| Keyword(5) |
Modularity |
| Keyword(6) |
Node Replication |
| Keyword(7) |
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| Keyword(8) |
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| 1st Author's Name |
Ozaki Yoichi |
| 1st Author's Affiliation |
Keio University (Keio Univ.) |
| 2nd Author's Name |
Kaneko Kunitake |
| 2nd Author's Affiliation |
Keio University (Keio Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2022-01-28 10:50:00 |
| Presentation Time |
25 minutes |
| Registration for |
NS |
| Paper # |
NS2021-116 |
| Volume (vol) |
vol.121 |
| Number (no) |
no.356 |
| Page |
pp.36-41 |
| #Pages |
6 |
| Date of Issue |
2022-01-20 (NS) |