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Paper Abstract and Keywords
Presentation 2013-01-18 13:50
Proposal and Evaluation of Log Data Store Method for Monitoring Large-Scale SaaS-Based Systems
Tatsuya Sato, Masahiro Yoshizawa, Ken Naono (Hitachi) ICM2012-57 LOIS2012-67
Abstract (in Japanese) (See Japanese page) 
(in English) Software as a service (SaaS) providers need to monitor heterogeneous logs of applications and physical/virtual devices. These logs are stored in a log data store which is a part of monitoring system. The log data store must have flexibility to support various data formats, and search performance to find requested data within a few seconds. In this paper, we propose and evaluate a log data store method for large-scale SaaS-based systems. This method is based on document-oriented database, which can contain structured data without pre-definitions of the data structures. We developed a prototype of the proposed method by using MongoDB which is a document-oriented database, and evaluated the proposed method and traditional method. The results of the evaluation show that the proposed method can improve the coverage of the flexibility requirements from 45 percent to 82 percent, and enhance the search performance by 192 times in typical use case. This result suggests that the proposed method should have enough flexibility and search performance for monitoring SaaS-based systems.
Keyword (in Japanese) (See Japanese page) 
(in English) Service Monitoring / SaaS / Operations and Management / Log Management / Data Store / NOSQL / /  
Reference Info. IEICE Tech. Rep., vol. 112, no. 378, ICM2012-57, pp. 115-120, Jan. 2013.
Paper # ICM2012-57 
Date of Issue 2013-01-10 (ICM, LOIS) 
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 LOIS  
Conference Date 2013-01-17 - 2013-01-18 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To ICM 
Conference Code 2013-01-ICM-LOIS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Proposal and Evaluation of Log Data Store Method for Monitoring Large-Scale SaaS-Based Systems 
Sub Title (in English)  
Keyword(1) Service Monitoring  
Keyword(2) SaaS  
Keyword(3) Operations and Management  
Keyword(4) Log Management  
Keyword(5) Data Store  
Keyword(6) NOSQL  
1st Author's Name Tatsuya Sato  
1st Author's Affiliation Central Research Laboratory, Hitachi, Ltd. (Hitachi)
2nd Author's Name Masahiro Yoshizawa  
2nd Author's Affiliation Central Research Laboratory, Hitachi, Ltd. (Hitachi)
3rd Author's Name Ken Naono  
3rd Author's Affiliation Central Research Laboratory, Hitachi, Ltd. (Hitachi)
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Date Time 2013-01-18 13:50:00 
Presentation Time 20 
Registration for ICM 
Paper # IEICE-ICM2012-57,IEICE-LOIS2012-67 
Volume (vol) IEICE-112 
Number (no) no.378(ICM), no.379(LOIS) 
Page pp.115-120 
#Pages IEICE-6 
Date of Issue IEICE-ICM-2013-01-10,IEICE-LOIS-2013-01-10 

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