Paper Abstract and Keywords |
Presentation |
2018-05-17 15:50
A Proposal of Virtual Machine Relocation Method Using Hierarchical Reinforcement Learning Shohei Enomoto, Tatsuro Kimura, Toyonori Fujiura (NTT) ICM2018-2 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In recent years, the cloud has attracted attention as a platform for analysis of big data and IoT service, and it is expected that the needs of the cloud continue to increase in the future.
For this reason, it is one of the major tasks for the cloud provider to increase the number of virtual machines on the physical machine, that is, to improve the aggregation rate.
Currently, cloud operators are improving aggregation rate by overcommitting, but under overcommitting environment there is a risk of lowering service level due to resource competition.
Since the workload of the virtual machine is constantly fluctuating and the virtual machines are frequently added and deleted, the load between the physical machines tends to be unbalanced, and in a high-load situation, the risk of a decline in the service level is high.
In this paper, we propose a virtual machine relocation method using hierarchical reinforcement learning which balances the load among physical machines, avoids contention of resources, and maintains the service level. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Cloud / Virtual Machine / Virtual Machine Relocation Problem / Reinforcement Learning / Load Balancing / / / |
Reference Info. |
IEICE Tech. Rep., vol. 118, no. 39, ICM2018-2, pp. 27-32, May 2018. |
Paper # |
ICM2018-2 |
Date of Issue |
2018-05-10 (ICM) |
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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ICM2018-2 |
Conference Information |
Committee |
ICM IPSJ-CSEC IPSJ-IOT |
Conference Date |
2018-05-17 - 2018-05-18 |
Place (in Japanese) |
(See Japanese page) |
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Topics (in Japanese) |
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Paper Information |
Registration To |
ICM |
Conference Code |
2018-05-ICM-CSEC-IOT |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A Proposal of Virtual Machine Relocation Method Using Hierarchical Reinforcement Learning |
Sub Title (in English) |
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Keyword(1) |
Cloud |
Keyword(2) |
Virtual Machine |
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Virtual Machine Relocation Problem |
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Reinforcement Learning |
Keyword(5) |
Load Balancing |
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1st Author's Name |
Shohei Enomoto |
1st Author's Affiliation |
NIPPON TELEGRAPH AND TELEPHONE CORPORATION (NTT) |
2nd Author's Name |
Tatsuro Kimura |
2nd Author's Affiliation |
NIPPON TELEGRAPH AND TELEPHONE CORPORATION (NTT) |
3rd Author's Name |
Toyonori Fujiura |
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NIPPON TELEGRAPH AND TELEPHONE CORPORATION (NTT) |
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Speaker |
Author-1 |
Date Time |
2018-05-17 15:50:00 |
Presentation Time |
25 minutes |
Registration for |
ICM |
Paper # |
ICM2018-2 |
Volume (vol) |
vol.118 |
Number (no) |
no.39 |
Page |
pp.27-32 |
#Pages |
6 |
Date of Issue |
2018-05-10 (ICM) |
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