| Paper Abstract and Keywords |
| Presentation |
2018-03-01 14:20
Dynamic Margin Calculation Using Stability of CPU Utilization in Virtual Machine Load Prediction Ryu Sakamoto (Waseda Univ.), Ryuichi Takahashi (Ibaraki Univ.), Yoshiaki Fukazawa (Waseda Univ.) KBSE2017-47 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
A virtual environment is used in cloud service data centers and the like which are increasingly used recently. In the virtual environment, efficiency is improved by overcommitting allocating virtual resources exceeding the maximum value of resources to the physical machine. However, when overcommitting is done excessively, some virtual machine overloads may affect other virtual machines. For this problem, there is a method of appropriately placing virtual machines by predicting load etc. The load of each virtual machine is mainly predicted by using the CPU usage rate, but the CPU utilization rate fluctuates greatly. For this reason, it is common to have a certain margin for the predicted value, and the fixed value of the margin is the current main stream. However, if there are virtual machines with greater variations than expected, there is a possibility of overloading. In this paper, we propose a method that gives a larger margin to virtual machines that make large fluctuations by dynamically changing this margin, which has been often set to a fixed value up to now, according to the characteristics of each virtual machine . By this method, it can be expected that more appropriate prediction can be performed for the case where the fluctuation of the CPU usage rate is large. Also, for stable virtual machines with small variations, resource utilization efficiency may be increased by setting a small margin. In the experiments conducted, this method shows better results than the static margin setting, and it is expected to reduce SLA violation and improve resource utilization efficiency when used for live migration. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
load prediction / virtualization / cloud / / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 117, no. 465, KBSE2017-47, pp. 49-54, March 2018. |
| Paper # |
KBSE2017-47 |
| Date of Issue |
2018-02-22 (KBSE) |
| ISSN |
Print edition: ISSN 0913-5685 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 |
KBSE2017-47 |
| Conference Information |
| Committee |
KBSE |
| Conference Date |
2018-03-01 - 2018-03-02 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
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| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
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| Paper Information |
| Registration To |
KBSE |
| Conference Code |
2018-03-KBSE |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Dynamic Margin Calculation Using Stability of CPU Utilization in Virtual Machine Load Prediction |
| Sub Title (in English) |
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| Keyword(1) |
load prediction |
| Keyword(2) |
virtualization |
| Keyword(3) |
cloud |
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| 1st Author's Name |
Ryu Sakamoto |
| 1st Author's Affiliation |
Waseda University (Waseda Univ.) |
| 2nd Author's Name |
Ryuichi Takahashi |
| 2nd Author's Affiliation |
Ibaraki University (Ibaraki Univ.) |
| 3rd Author's Name |
Yoshiaki Fukazawa |
| 3rd Author's Affiliation |
Waseda University (Waseda Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2018-03-01 14:20:00 |
| Presentation Time |
20 minutes |
| Registration for |
KBSE |
| Paper # |
KBSE2017-47 |
| Volume (vol) |
vol.117 |
| Number (no) |
no.465 |
| Page |
pp.49-54 |
| #Pages |
6 |
| Date of Issue |
2018-02-22 (KBSE) |
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