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Paper Abstract and Keywords
Presentation 2023-03-02 11:00
Resource allocation methods for efficient and fairness utilization of network and computational resources in edge cloud -- Scalable resource allocation and network path selection --
Shota Akiyoshi (Kyutech), Yuzo Taenaka (NAIST), Kazuya Tsukamoto (Kyutech) NS2022-170
Abstract (in Japanese) (See Japanese page) 
(in English) Cross-domain data fusion in the edge cloud is becoming a key driver to growth of the numerous and diverse applications in IoT era. Since network and computational resources are limited in the edge cloud, we propose the concept of separating the STC generation process into multiple processes and processing them inline at the data processing (DP) server, effectively utilizing both network and computational resources. However, since the amount of network and computational resources required for STC generation varies for each flow, efficiency and fairness may be reduced depending on resource allocation. In our previous study, we proposed a resource allocation method based on Integrated resources that treat both network and computation resources. However, explosive increases in computational complexity and reduced search accuracy are problematic. In this study, we proposed a method that achieves both resource allocation with a reduced number of searches and optimal DP server selection by adaptively grouping arrival flows. Numerical results show that the proposed method can improve the efficiency (resource usage) by about 20% to 98% and the fairness (standard deviation of resource usage) by about 3% to 12%, indicating that the proposed method can contribute to efficient and fair communication and computing resource allocation in the edge.
Keyword (in Japanese) (See Japanese page) 
(in English) IoT / Edge cloud / Resource allocation / Efficient and equitable utilization / Pareto-optimal / trade-offs / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 406, NS2022-170, pp. 19-24, March 2023.
Paper # NS2022-170 
Date of Issue 2023-02-23 (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 NS2022-170

Conference Information
Committee IN NS  
Conference Date 2023-03-02 - 2023-03-03 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa Convention Centre + Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General 
Paper Information
Registration To NS 
Conference Code 2023-03-IN-NS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Resource allocation methods for efficient and fairness utilization of network and computational resources in edge cloud 
Sub Title (in English) Scalable resource allocation and network path selection 
Keyword(1) IoT  
Keyword(2) Edge cloud  
Keyword(3) Resource allocation  
Keyword(4) Efficient and equitable utilization  
Keyword(5) Pareto-optimal  
Keyword(6) trade-offs  
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Keyword(8)  
1st Author's Name Shota Akiyoshi  
1st Author's Affiliation Kyushu Institute of Technology (Kyutech)
2nd Author's Name Yuzo Taenaka  
2nd Author's Affiliation Nara Institute of Science and Technology (NAIST)
3rd Author's Name Kazuya Tsukamoto  
3rd Author's Affiliation Kyushu Institute of Technology (Kyutech)
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Speaker Author-1 
Date Time 2023-03-02 11:00:00 
Presentation Time 20 minutes 
Registration for NS 
Paper # NS2022-170 
Volume (vol) vol.122 
Number (no) no.406 
Page pp.19-24 
#Pages 6 
Date of Issue 2023-02-23 (NS) 

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