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| Presentation | 2019-03-05 14:30 Study on VNF Migration Scheduling by using Encoder-Decoder Recurrent Neural Network Takahiro Hirayama, Takaya Miyazawa, Masahiro Jibiki, Ved P. Kafle (NICT)  IN2018-142 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Service function chaining (SFC) enables network operators to flexibly provide diverse services such as Internet-of-Things (IoT) and mobile applications. SFC technologies are required to offer stable and guaranteed quality-of-service (QoS) even in the circumstances of dynamically-changing resource demands and traffic volumes. To meet QoS requirements against time-varying network environment, infrastructure providers need to dynamically adjust the amount of computational resources such as CPU assigned to virtual network functions (VNFs) in each service function chain. However, related works have limitations that they cannot provide an agile operation of VNF migration as they require a large number of iterations. In order to overcome these limitations, in this paper we propose to utilize an encoder-decoder recurrent neural network and train it to solve the VNF migration scheduling problem. Through the simulation, we verify that the proposed method can agilely determine VNF redeployment locations by keeping the frequency of server overload and VNF migration minimum. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Service function chaining (SFC) / Mixed integer programing (MIP) / Machine learning (ML) / Recurrent neural network (RNN) / Function migration / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 118, no. 466, IN2018-142, pp. 349-354, March 2019. | |
| Paper # | IN2018-142 | |
| Date of Issue | 2019-02-25 (IN) | |
| 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 | IN2018-142 |
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| Conference Information | |
| Committee | IN NS |
| Conference Date | 2019-03-04 - 2019-03-05 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Okinawa Convention Center |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | General |
| Paper Information | |
| Registration To | IN |
| Conference Code | 2019-03-IN-NS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Study on VNF Migration Scheduling by using Encoder-Decoder Recurrent Neural Network |
| Sub Title (in English) | |
| Keyword(1) | Service function chaining (SFC) |
| Keyword(2) | Mixed integer programing (MIP) |
| Keyword(3) | Machine learning (ML) |
| Keyword(4) | Recurrent neural network (RNN) |
| Keyword(5) | Function migration |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Takahiro Hirayama |
| 1st Author's Affiliation | National Institute of Information and Communications Technology (NICT) |
| 2nd Author's Name | Takaya Miyazawa |
| 2nd Author's Affiliation | National Institute of Information and Communications Technology (NICT) |
| 3rd Author's Name | Masahiro Jibiki |
| 3rd Author's Affiliation | National Institute of Information and Communications Technology (NICT) |
| 4th Author's Name | Ved P. Kafle |
| 4th Author's Affiliation | National Institute of Information and Communications Technology (NICT) |
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| Speaker | Author-1 |
| Date Time | 2019-03-05 14:30:00 |
| Presentation Time | 20 minutes |
| Registration for | IN |
| Paper # | IN2018-142 |
| Volume (vol) | vol.118 |
| Number (no) | no.466 |
| Page | pp.349-354 |
| #Pages | 6 |
| Date of Issue | 2019-02-25 (IN) |
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