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Paper Abstract and Keywords
Presentation 2017-01-20 09:55
Analysis of the Effects of Biased Traffic Pattern and Node Resource Allocation on the Robustness of Networks against Cascading Failure
Shimpei Tsuji, Sho Tsugawa (Tsukuba Univ.) CQ2016-98
Abstract (in Japanese) (See Japanese page) 
(in English) Cascading failure is a large-scale catastrophic failure of nodes in a network triggered by failures of a small number of nodes, and it has been considered as a serious problem in our society. In this paper, we analyze the effects of traffic patterns among nodes on cascading failure in a network. We perform simulation of cascading failure using a biased traffic pattern where each node generates traffic to a specific sink node. Our simulation results show that the biased traffic pattern in a network can significantly affect cascading failure triggered by a failure of a single node with the highest load, which increases the damage of the cascading failure to the network. Moreover, we examine methods for increasing robustness of networks against cascading failure through tuning of tolerance parameter of each node, which determines the capacity of the node. Our proposed approach is allocating relatively high values of tolerance parameter to the nodes with low load, and allocating relatively low values of tolerance parameter to the nodes with high load. We show that the robustness of networks can be efficiently improved using our proposed approach.
Keyword (in Japanese) (See Japanese page) 
(in English) Cascading failure / Traffic pattern / Tolerance / Sensor network / / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 403, CQ2016-98, pp. 47-52, Jan. 2017.
Paper # CQ2016-98 
Date of Issue 2017-01-12 (CQ) 
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)
Download PDF CQ2016-98

Conference Information
Committee CQ  
Conference Date 2017-01-19 - 2017-01-20 
Place (in Japanese) (See Japanese page) 
Place (in English) Osaka University Nakanoshima Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To CQ 
Conference Code 2017-01-CQ 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Analysis of the Effects of Biased Traffic Pattern and Node Resource Allocation on the Robustness of Networks against Cascading Failure 
Sub Title (in English)  
Keyword(1) Cascading failure  
Keyword(2) Traffic pattern  
Keyword(3) Tolerance  
Keyword(4) Sensor network  
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1st Author's Name Shimpei Tsuji  
1st Author's Affiliation University of Tsukuba (Tsukuba Univ.)
2nd Author's Name Sho Tsugawa  
2nd Author's Affiliation University of Tsukuba (Tsukuba Univ.)
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Speaker Author-1 
Date Time 2017-01-20 09:55:00 
Presentation Time 25 minutes 
Registration for CQ 
Paper # CQ2016-98 
Volume (vol) vol.116 
Number (no) no.403 
Page pp.47-52 
#Pages 6 
Date of Issue 2017-01-12 (CQ) 

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