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Paper Abstract and Keywords
Presentation 2019-03-04 10:50
Load Balanced Data Management Method that Handle Large-Scale Disasters in High Availability Distributed Clusters
Ryoko Suzuki, Kiyoshi Ueda (Nihon Univ.) NS2018-219
Abstract (in Japanese) (See Japanese page) 
(in English) In the core computer system such as the session control servers which a carrier provides, it is pursued that the data should be handling even in disasters．Therefore we placed replication of the data to other servers, and the data management method has been studied.
The replication of data is placed to the virtual node of the right neighbor of the virtual node owning the original data on ID space. However, the original and the replication data are managed on the same server when both virtual nodes are the same server (collision of the reproduction). Because data disappear when the trouble of the server occurs. We must avoid the collision of the reproduction. In addition, data may be lost when the server breaks down by large-scale disasters when the server having the original data and a server having the replication are near geographically. Also, we must consider to the access frequency adaptive virtual node placement method.
We discuss that virtual node placement in consideration of geographical distance.
Keyword (in Japanese) (See Japanese page) 
(in English) High Availability Distributed Clusters / Data Raplication / Disaster Recover / / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 465, NS2018-219, pp. 153-158, March 2019.
Paper # NS2018-219 
Date of Issue 2019-02-25 (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 NS2018-219

Conference Information
Committee IN NS  
Conference Date 2019-03-04 - 2019-03-05 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa Convention Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General 
Paper Information
Registration To NS 
Conference Code 2019-03-IN-NS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Load Balanced Data Management Method that Handle Large-Scale Disasters in High Availability Distributed Clusters 
Sub Title (in English)  
Keyword(1) High Availability Distributed Clusters  
Keyword(2) Data Raplication  
Keyword(3) Disaster Recover  
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1st Author's Name Ryoko Suzuki  
1st Author's Affiliation Nihon University (Nihon Univ.)
2nd Author's Name Kiyoshi Ueda  
2nd Author's Affiliation Nihon University (Nihon Univ.)
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Speaker Author-1 
Date Time 2019-03-04 10:50:00 
Presentation Time 20 minutes 
Registration for NS 
Paper # NS2018-219 
Volume (vol) vol.118 
Number (no) no.465 
Page pp.153-158 
#Pages 6 
Date of Issue 2019-02-25 (NS) 

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