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Paper Abstract and Keywords
Presentation 2018-07-13 17:05
On-site Evaluation of Software Cellular based MEC with Downlink Slicing Method
Koichiro Amemiya (Fujitsu/UTokyo), Yuko Akiyama, Kazunari Kobayashi, Yoshio Inoue (Fujitsu), Shu Yamamoto, Akihiro Nakao (UTokyo) NS2018-85
Abstract (in Japanese) (See Japanese page) 
(in English) MEC (Multi-access Edge Computing) has recently caught much attention for processing data in the vicinity of user equipment (UE) to reduce latency for real–time applications. Recently, software implementation of cellular base stations is emerging as it allows co-location of access point functionalities and those of MEC within the same hardware, and facilitates deployment of MEC without incurring much cost. In this paper, we posit that one of the most significant challenges for realizing softwarized cellular network with MEC is to enable resource isolation of low latency slices. Our contributions are threefold. First, we define the architecture of MEC in softwarized cellular network. Second, we measure the actual latency and throughput of on-site MEC system. And third, we propose a novel slicing method for the MEC to isolate a low latency slice from a broadband one. Our evaluation shows that the proposed method achieves the same minimal latency even with a competing broadband slice as that no other slice exists.
Keyword (in Japanese) (See Japanese page) 
(in English) Edge Computing / softwarization / MEC / slicing / 5G / IoT / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 124, NS2018-85, pp. 247-252, July 2018.
Paper # NS2018-85 
Date of Issue 2018-07-04 (NS) 
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)
Download PDF NS2018-85

Conference Information
Committee ASN NS RCS SR RCC  
Conference Date 2018-07-11 - 2018-07-13 
Place (in Japanese) (See Japanese page) 
Place (in English) Hakodate Arena 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Wireless Distributed Network, Machine Learning and AI for Wireless Communications and Networks, M2M (Machine-to-Machine), D2D (Device-to-Device), IoT（Internet of Things）, etc. 
Paper Information
Registration To NS 
Conference Code 2018-07-ASN-NS-RCS-SR-RCC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) On-site Evaluation of Software Cellular based MEC with Downlink Slicing Method 
Sub Title (in English)  
Keyword(1) Edge Computing  
Keyword(2) softwarization  
Keyword(3) MEC  
Keyword(4) slicing  
Keyword(5) 5G  
Keyword(6) IoT  
Keyword(7)  
Keyword(8)  
1st Author's Name Koichiro Amemiya  
1st Author's Affiliation Fujitsu Laboratories Ltd./The University of Tokyo (Fujitsu/UTokyo)
2nd Author's Name Yuko Akiyama  
2nd Author's Affiliation Fujitsu Limited (Fujitsu)
3rd Author's Name Kazunari Kobayashi  
3rd Author's Affiliation Fujitsu Limited (Fujitsu)
4th Author's Name Yoshio Inoue  
4th Author's Affiliation Fujitsu Limited (Fujitsu)
5th Author's Name Shu Yamamoto  
5th Author's Affiliation The University of Tokyo (UTokyo)
6th Author's Name Akihiro Nakao  
6th Author's Affiliation The University of Tokyo (UTokyo)
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Speaker Author-1 
Date Time 2018-07-13 17:05:00 
Presentation Time 25 minutes 
Registration for NS 
Paper # NS2018-85 
Volume (vol) vol.118 
Number (no) no.124 
Page pp.247-252 
#Pages 6 
Date of Issue 2018-07-04 (NS) 

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