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Paper Abstract and Keywords
Presentation 2020-09-03 10:30
Analysis of Content Availability at Network Failure in Information-Centric Networking
Ryo Nakamura, Noriaki Kamiyama (Fukuoka Univ.) CQ2020-34
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, ICN (Information-Centric Networking) has been under the spotlight as a network that mainly focuses on transmitted and received data rather than on the hosts that transmit and receive data. Generally, the communication networks such as the ICN are required to be robust against network failures caused by attacks and disasters. One of the metrics for the robustness of conventional host-centric networks, e.g., the TCP/IP networks, is reachability between nodes in the network after network failures, whereas, the key metric for the robustness of the ICN is content availability. However, because the ICN is a more complicated network architecture compared to conventional host-centric networks, it is not easy to analyze the content availability at network failures in the ICN. In this paper, we focus on an arbitrary ICN network and derive the content availability for a given probability of node removal. Especially, we analytically obtain the average content availability over an entire network in the case that just a single path from a node to a repository, i.e., contents server, storing contents is available and that multiple paths to the repository are available, respectively. Furthermore, through several numerical evaluations, we investigate the effect of the structure of network topology as well as the pattern and scale of the network failures on the content availability in the ICN. Our findings include that, regardless of patterns of network failures, the content availability is significantly improved by caching contents at routers and using multiple paths, and that the content availability is more degraded at cluster-based node removal compared with random node removal.
Keyword (in Japanese) (See Japanese page) 
(in English) Information-Centric Networking (ICN) / Content Availability / Network Failure / Network Robustness / Node Removal / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 155, CQ2020-34, pp. 1-6, Sept. 2020.
Paper # CQ2020-34 
Date of Issue 2020-08-27 (CQ) 
ISSN 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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Conference Information
Committee CQ  
Conference Date 2020-09-03 - 2020-09-04 
Place (in Japanese) (See Japanese page) 
Place (in English) Osaka University Nakanoshima Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Machine Learning in Wireless Communication, AI, 6G/Beyond 5G, LPWA, Drone Network, Communications in Extreme Environments, Wireless Networks, QoS and QoE in Wireless Communication, Wireless Resource Allocation, Wireless Transmission Quality, Cross layer Technology, Ad-hoc Network, IoT/M2M, Wireless, etc. 
Paper Information
Registration To CQ 
Conference Code 2020-09-CQ 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Analysis of Content Availability at Network Failure in Information-Centric Networking 
Sub Title (in English)  
Keyword(1) Information-Centric Networking (ICN)  
Keyword(2) Content Availability  
Keyword(3) Network Failure  
Keyword(4) Network Robustness  
Keyword(5) Node Removal  
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Keyword(8)  
1st Author's Name Ryo Nakamura  
1st Author's Affiliation Fukuoka University (Fukuoka Univ.)
2nd Author's Name Noriaki Kamiyama  
2nd Author's Affiliation Fukuoka University (Fukuoka Univ.)
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Speaker Author-1 
Date Time 2020-09-03 10:30:00 
Presentation Time 25 minutes 
Registration for CQ 
Paper # CQ2020-34 
Volume (vol) vol.120 
Number (no) no.155 
Page pp.1-6 
#Pages
Date of Issue 2020-08-27 (CQ) 


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