Paper Abstract and Keywords |
Presentation |
2022-03-11 10:10
A resource allocation method of network and computational resources in edge networks Shota Akiyoshi (Kyutech), Yuzo Taenaka (NAIST), Kazuya Tsukamoto (Kyutech) NS2021-141 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Cross-domain data fusion is becoming a key driver to growth of the numerous and diverse applications in IoT era. We have proposed a concept of new information platform, Geo-Centric information platform (GCIP), that enables IoT data fusion based on geolocation. GCIP produces new and dynamic contents by combining cross-domain data in each geographic area and provides them to users. However, when a large amount of IoT data is required for STC creation, it places a heavy load on the network and computation resources in the mesh. In order to reduce this load, we propose to pre-process the data in advance on the transfer path. However, when flows with different loads on network and computation resources flow into a mesh with multiple paths, depending on the allocation of network and computation resources, (1) throughput degradation (efficiency issues) and (2) inequity in resource allocation (fairness issues) may occur. In this study, we propose a flexible resource allocation method that efficiently and fairly utilizes both communication and computation resources in preprocessing to achieve both efficiency and fairness. As a result of numerical verification, we found that the proposed method can improve efficiency and fairness by up to 26% and 38%, respectively. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Resource allocation / IoT / Cross-Domain Data Fusion / Geolocation / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 121, no. 433, NS2021-141, pp. 109-114, March 2022. |
Paper # |
NS2021-141 |
Date of Issue |
2022-03-03 (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) |
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NS2021-141 |
Conference Information |
Committee |
NS IN |
Conference Date |
2022-03-10 - 2022-03-11 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
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General |
Paper Information |
Registration To |
NS |
Conference Code |
2022-03-NS-IN |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A resource allocation method of network and computational resources in edge networks |
Sub Title (in English) |
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Resource allocation |
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IoT |
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Cross-Domain Data Fusion |
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Geolocation |
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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) |
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Kazuya Tsukamoto |
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Kyushu Institute of Technology (Kyutech) |
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Speaker |
Author-1 |
Date Time |
2022-03-11 10:10:00 |
Presentation Time |
20 minutes |
Registration for |
NS |
Paper # |
NS2021-141 |
Volume (vol) |
vol.121 |
Number (no) |
no.433 |
Page |
pp.109-114 |
#Pages |
6 |
Date of Issue |
2022-03-03 (NS) |
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