IEICE Technical Committee Submission System
Conference Paper's Information
Online Proceedings
[Sign in]
Tech. Rep. Archives
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2024-03-01 11:35
Application of a Deep Reinforcement Learning Algorithm to Virtual Machine Migration Control in Multi-Stage Information Processing Systems
Yuki Kojitani (Okayama Univ.), Kazutoshi Nakane (Nagoya Univ.), Yuya Tarutani (Okayama Univ.), Celimuge Wu (UEC), Yusheng Ji (NII), Tokumi Yokohira (Okayama Univ.), Tutomu Murase (Nagoya Univ.), Yukinobu Fukushima (Okayama Univ.) IN2023-87
Abstract (in Japanese) (See Japanese page) 
(in English) This paper tackles a virtual machine (VM) migration control problem to maximize the progress (accuracy) of information processing tasks in multi-stage information processing systems. The conventional methods for this problem (e.g., VM sweeping method and load balancing method) are effective only for specific situations, such as when the system load is high. In this paper, in order to achieve high accuracy in various situations, we propose a VM migration method using a deep reinforcement learning algorithm. It is difficult to directly apply a deep reinforcement learning algorithm to the VM migration control problem because the size of the action space of an agent dynamically changes according to the number of VMs in the system while the size of the action space is fixed in deep reinforcement learning algorithms. Therefore, the proposed method divides the VM migration control problem into two problems: the problem of determining only the VM distribution and the problem of determining the locations of all the VMs so that it follows the determined VM distribution. The former problem is solved by a deep reinforcement learning algorithm, and the latter problem is solved by a heuristic method.
Keyword (in Japanese) (See Japanese page) 
(in English) Multi-stage information processing system / VM migration control / Deep reinforcement learning / DDPG (Deep Deterministic Policy Gradient) / / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 398, IN2023-87, pp. 130-135, Feb. 2024.
Paper # IN2023-87 
Date of Issue 2024-02-22 (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 IN2023-87

Conference Information
Committee NS IN  
Conference Date 2024-02-29 - 2024-03-01 
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 2024-02-NS-IN 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Application of a Deep Reinforcement Learning Algorithm to Virtual Machine Migration Control in Multi-Stage Information Processing Systems 
Sub Title (in English)  
Keyword(1) Multi-stage information processing system  
Keyword(2) VM migration control  
Keyword(3) Deep reinforcement learning  
Keyword(4) DDPG (Deep Deterministic Policy Gradient)  
Keyword(5)  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Yuki Kojitani  
1st Author's Affiliation Okayama University (Okayama Univ.)
2nd Author's Name Kazutoshi Nakane  
2nd Author's Affiliation Nagoya University (Nagoya Univ.)
3rd Author's Name Yuya Tarutani  
3rd Author's Affiliation Okayama University (Okayama Univ.)
4th Author's Name Celimuge Wu  
4th Author's Affiliation The University of Electro-Communications (UEC)
5th Author's Name Yusheng Ji  
5th Author's Affiliation National Institute of Informatics (NII)
6th Author's Name Tokumi Yokohira  
6th Author's Affiliation Okayama University (Okayama Univ.)
7th Author's Name Tutomu Murase  
7th Author's Affiliation Nagoya University (Nagoya Univ.)
8th Author's Name Yukinobu Fukushima  
8th Author's Affiliation Okayama University (Okayama Univ.)
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
Speaker Author-1 
Date Time 2024-03-01 11:35:00 
Presentation Time 25 minutes 
Registration for IN 
Paper # IN2023-87 
Volume (vol) vol.123 
Number (no) no.398 
Page pp.130-135 
#Pages
Date of Issue 2024-02-22 (IN) 


[Return to Top Page]

[Return to IEICE Web Page]


The Institute of Electronics, Information and Communication Engineers (IEICE), Japan