Paper Abstract and Keywords |
Presentation |
2018-03-01 10:30
Data Redundancy Dynamic Control Method for High Availability Distributed Clusters Tomohiro Ono, Kiyoshi Ueda (Nihon Univ.) NS2017-183 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Session control servers of carriers networks are required to have high availability, high reliability, fault tolerance, scalability, and be able to response in real time. We have studied the scale out type session control server architecture that could control system performance flexibly.
On the other hand, network anomaly detection technology using auto encoder has attracted attention. An autoencoder is one of dimensionality reduction algorithms using neural networks. It is considered to be effective as an anomaly detection algorithm for systems with various types of anomalies such as networks.
In this research, we propose a method to recover from anomalies in a short time for high availability distributed clusters using consistent hashing in environments applied network anomaly detection technology. It is realized by detecting abnormalities which are sign of failures in servers constructing clusters or networks, and then improving data redundancy before serious failures of servers or networks. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
High Availability Distributed Cluster / Redundancy Dynamic Control / Autoencoder / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 117, no. 459, NS2017-183, pp. 91-96, March 2018. |
Paper # |
NS2017-183 |
Date of Issue |
2018-02-22 (NS) |
ISSN |
Print edition: ISSN 0913-5685 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) |
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NS2017-183 |
Conference Information |
Committee |
NS IN |
Conference Date |
2018-03-01 - 2018-03-02 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Phoenix Seagaia Resort |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
General |
Paper Information |
Registration To |
NS |
Conference Code |
2018-03-NS-IN |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Data Redundancy Dynamic Control Method for High Availability Distributed Clusters |
Sub Title (in English) |
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High Availability Distributed Cluster |
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Redundancy Dynamic Control |
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Autoencoder |
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1st Author's Name |
Tomohiro Ono |
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 |
2018-03-01 10:30:00 |
Presentation Time |
20 minutes |
Registration for |
NS |
Paper # |
NS2017-183 |
Volume (vol) |
vol.117 |
Number (no) |
no.459 |
Page |
pp.91-96 |
#Pages |
6 |
Date of Issue |
2018-02-22 (NS) |
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