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Paper Abstract and Keywords
Presentation 2020-05-15 11:35
Progressive Slicing : Practical Application Classification System for Application Slicing
Takamitsu Iwai, Akihiro Nakao (UTokyo) NS2020-17
Abstract (in Japanese) (See Japanese page) 
(in English) With the proliferation of encrypted traffic and the increasing importance of application-specific QoE management, the need for application identification is increasing. However, existing research on application identification do not discuss the impact of slice allocation errors due to misclassification and the decrease in QoE due to delays of classification. In this paper, we propose a new architecture called Progressive Slicing, which adaptively allocates the flow into slices with high bandwidth according to the state and result of the classification. The QoE can be maintained by allocating a small bandwidth to the new flow and adaptively transitioning it to a slice with a larger bandwidth according to the classification results. In addition, by performing multiple classifications, we can assign the flows to the slices according to each result, making slicing more tolerant of misclassification and maintaining the QoE of the application. In the proposed system, we evaluate the influence in QoE for multiple user scenarios and the amount of data consumed during the decision making on the Android VM and show that this method can reduce the search time in Twitter by 18% compared to the case where this method was not implemented.
Keyword (in Japanese) (See Japanese page) 
(in English) Machine Learning / Application Identification / Network Slicing / / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 19, NS2020-17, pp. 57-62, May 2020.
Paper # NS2020-17 
Date of Issue 2020-05-07 (NS) 
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)
Download PDF NS2020-17

Conference Information
Committee NS  
Conference Date 2020-05-14 - 2020-05-15 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) High level protocol, Networking technologies (IP and high-layer routing/filtering, Multicast, Quality/Routing control), IP network application technologies (P2P, P4P, Overlay, SIP, NGN), Network system related technologies (System configuration, Interface, Architecture, Hardware/Software/Middleware), Security, Blockchain etc. 
Paper Information
Registration To NS 
Conference Code 2020-05-NS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Progressive Slicing : Practical Application Classification System for Application Slicing 
Sub Title (in English)  
Keyword(1) Machine Learning  
Keyword(2) Application Identification  
Keyword(3) Network Slicing  
1st Author's Name Takamitsu Iwai  
1st Author's Affiliation University of Tokyo (UTokyo)
2nd Author's Name Akihiro Nakao  
2nd Author's Affiliation University of Tokyo (UTokyo)
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Date Time 2020-05-15 11:35:00 
Presentation Time 25 
Registration for NS 
Paper # IEICE-NS2020-17 
Volume (vol) IEICE-120 
Number (no) no.19 
Page pp.57-62 
#Pages IEICE-6 
Date of Issue IEICE-NS-2020-05-07 

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