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Paper Abstract and Keywords
Presentation 2021-03-19 12:05
Proposal of Anomaly Cause Analysis Method Based on Operation Status and Operation Log of Virtualization Infrastructure
Junichi Higuchi, Takeshi Kodama (FUJITSU LAB.), Hirokatsu Jo (QNET), Hitoshi Ueno (FUJITSU LAB.) ICM2020-72
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, IT virtualization infrastructure is used as the foundation of cloud services that are widely spread. In the current operation of the virtualization infrastructure, there is a problem that the recovery time of the abnormality becomes longer because the operator investigates the cause and copes with it after the abnormality that affects the cloud users occurs. Therefore, in order to cope with the abnormality before it occurs, we are investigating an approach to detect the unusual behavior of the virtualization infrastructure early and to determine the cause. One method of determining the cause in the actual operation is to check the event recorded in the operation log for the abnormal time and place and determine whether the event is a possible cause. In the method, there is a problem that the event of the cause candidate can’t be narrowed down when the occurrence place and time of the cause is not known from the abnormal detection place and time. In this paper, we propose a method to extract events of cause candidates by narrowing down the places and periods of suspected causes based on the detailed occurrences of unusual behavior. As a result of the evaluation of the proposed method, we confirmed that the proposed method can extract the cause event in two cases where the cause occurrence place and time are not known from the abnormal detection place and time.
Keyword (in Japanese) (See Japanese page) 
(in English) Virtualization Infrastructure / Operation Log / Anomaly Detection / Root Cause Analysis / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 433, ICM2020-72, pp. 70-75, March 2021.
Paper # ICM2020-72 
Date of Issue 2021-03-11 (ICM) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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 ICM  
Conference Date 2021-03-18 - 2021-03-19 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To ICM 
Conference Code 2021-03-ICM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Proposal of Anomaly Cause Analysis Method Based on Operation Status and Operation Log of Virtualization Infrastructure 
Sub Title (in English)  
Keyword(1) Virtualization Infrastructure  
Keyword(2) Operation Log  
Keyword(3) Anomaly Detection  
Keyword(4) Root Cause Analysis  
1st Author's Name Junichi Higuchi  
1st Author's Affiliation ITSU LABORATORIES LTD. (FUJITSU LAB.)
2nd Author's Name Takeshi Kodama  
2nd Author's Affiliation ITSU LABORATORIES LTD. (FUJITSU LAB.)
3rd Author's Name Hirokatsu Jo  
3rd Author's Affiliation Fujitsu Kyushu Network Technologies Limited (QNET)
4th Author's Name Hitoshi Ueno  
4th Author's Affiliation ITSU LABORATORIES LTD. (FUJITSU LAB.)
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Date Time 2021-03-19 12:05:00 
Presentation Time 25 
Registration for ICM 
Paper # IEICE-ICM2020-72 
Volume (vol) IEICE-120 
Number (no) no.433 
Page pp.70-75 
#Pages IEICE-6 
Date of Issue IEICE-ICM-2021-03-11 

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