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Paper Abstract and Keywords
Presentation 2019-03-17 17:05
An Update-Range-Aware Source Deduplication Method with Low-Resource and High-Efficiency for Geo-Distributed Data Analysis
Shun Gokita, Kento Ikkaku, Makoto Kubota, Noriyuki Fukuyama (Fujitsu Lab.) CPSY2018-108 DC2018-90
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, business efficiency and service quality improvement are expected by analyzing and utilizing the large amount of data generated by the IoT device. In general, IoT devices are poor in computing resources to analyze data, but on the other hand, because of the geographical distribution, the network bandwidth is also narrow and it is difficult to aggregate all the data in the cloud. In this research, we propose a method that effectively reduces the amount of network transfer by performing deduplication processing while saving computing resources on edge, and adaptively controlling chunk units to improve duplication detection efficiency.
Keyword (in Japanese) (See Japanese page) 
(in English) geo-distributed data analysis / deduplication / mobility IoT / / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 514, CPSY2018-108, pp. 181-186, March 2019.
Paper # CPSY2018-108 
Date of Issue 2019-03-10 (CPSY, DC) 
ISSN 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)
Download PDF CPSY2018-108 DC2018-90

Conference Information
Conference Date 2019-03-17 - 2019-03-18 
Place (in Japanese) (See Japanese page) 
Place (in English) Nishinoomote City Hall (Tanega-shima) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) ETNET2019 
Paper Information
Registration To CPSY 
Conference Code 2019-03-CPSY-DC-SLDM-EMB-ARC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) An Update-Range-Aware Source Deduplication Method with Low-Resource and High-Efficiency for Geo-Distributed Data Analysis 
Sub Title (in English)  
Keyword(1) geo-distributed data analysis  
Keyword(2) deduplication  
Keyword(3) mobility IoT  
1st Author's Name Shun Gokita  
1st Author's Affiliation Fujitsu Laboratories LTD. (Fujitsu Lab.)
2nd Author's Name Kento Ikkaku  
2nd Author's Affiliation Fujitsu Laboratories LTD. (Fujitsu Lab.)
3rd Author's Name Makoto Kubota  
3rd Author's Affiliation Fujitsu Laboratories LTD. (Fujitsu Lab.)
4th Author's Name Noriyuki Fukuyama  
4th Author's Affiliation Fujitsu Laboratories LTD. (Fujitsu Lab.)
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Speaker Author-1 
Date Time 2019-03-17 17:05:00 
Presentation Time 20 minutes 
Registration for CPSY 
Paper # CPSY2018-108, DC2018-90 
Volume (vol) vol.118 
Number (no) no.514(CPSY), no.515(DC) 
Page pp.181-186 
Date of Issue 2019-03-10 (CPSY, DC) 

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