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Paper Abstract and Keywords
Presentation 2018-07-30 10:45
Region Selection Method for Geographical State Machine Replication on Public Clouds
Shota Numakura, Junya Nakamura, Ren Ohmura (TUT) DC2018-14
Abstract (in Japanese) (See Japanese page) 
(in English) State Machine Replication (SMR) is a replication method that improves fault tolerance of a general service. Geographical state machine replication (in short, geo-replication), which consists of replicas on multiple continents, has extraordinary resiliency against catastrophic disasters and can be easily realized by the development of public cloud services. Although the existing research pointed out that the performance of the geo-replication has a significant influence on a combination of regions where the replicas are placed, it is unknown which region combination is the best. In this paper, we propose two region selection methods that output the best region combination based on client locations and resiliency which an administrator want to implement. Finally, we deploy geo-replications on a representative public cloud service, i.e., Amazon Web Services, and evaluate the two proposed region selection methods.
Keyword (in Japanese) (See Japanese page) 
(in English) Distributed System / Geo-replication / Byzantine Fault Tolerance / Public cloud / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 166, DC2018-14, pp. 7-12, July 2018.
Paper # DC2018-14 
Date of Issue 2018-07-23 (DC) 
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 DC2018-14

Conference Information
Committee CPSY DC IPSJ-ARC  
Conference Date 2018-07-30 - 2018-08-01 
Place (in Japanese) (See Japanese page) 
Place (in English) Kumamoto City International Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Parallel, Distributed and Cooperative Processing Systems and Dependable Computing 
Paper Information
Registration To DC 
Conference Code 2018-07-CPSY-DC-ARC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Region Selection Method for Geographical State Machine Replication on Public Clouds 
Sub Title (in English)  
Keyword(1) Distributed System  
Keyword(2) Geo-replication  
Keyword(3) Byzantine Fault Tolerance  
Keyword(4) Public cloud  
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1st Author's Name Shota Numakura  
1st Author's Affiliation Toyohashi University of Technology (TUT)
2nd Author's Name Junya Nakamura  
2nd Author's Affiliation Toyohashi University of Technology (TUT)
3rd Author's Name Ren Ohmura  
3rd Author's Affiliation Toyohashi University of Technology (TUT)
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Speaker Author-1 
Date Time 2018-07-30 10:45:00 
Presentation Time 30 minutes 
Registration for DC 
Paper # DC2018-14 
Volume (vol) vol.118 
Number (no) no.166 
Page pp.7-12 
#Pages 6 
Date of Issue 2018-07-23 (DC) 

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