Paper Abstract and Keywords |
Presentation |
2016-11-24 09:45
A Study of Computing Resource Allocation Based on Model Predictive Control for Business-Critical Systems in Hybrid Cloud Environment Yukio Ogawa (Muroran IT), Go Hasegawa, Masayuki Murata (Osaka Univ.) NS2016-101 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In this report, business-critical application systems are constructed from computing resources provided by both private and public data centers. A private data center provides fixed resources for processing average workloads, whereas a public data center supplies on-demand resources for handling peak workloads. This system architecture enables us to satisfy application system requirements such as availability and performance as well as to maximize the resource utilization. This report presents a model predictive control approach for maintaining a target system utilization without too often scaling-out/in computing resources in such a hybrid cloud environment. We first formulated a cost function regarding the deployment of physical and virtual servers as well as fault tolerance and operation of them. We then conducted numerical simulations. % with arrival traces collected from actual web systems. The results indicate that, although an application system often experiences high utilization level above a threshold because of prediction errors, counting the operational cost reduces the frequency of scaling-out/in the resources, resulting in alleviating the high utilization. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
hybrid cloud / model predictive control / computing resources / utilization / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 116, no. 322, NS2016-101, pp. 1-6, Nov. 2016. |
Paper # |
NS2016-101 |
Date of Issue |
2016-11-17 (NS) |
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) |
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NS2016-101 |
Conference Information |
Committee |
NS CQ ICM NV |
Conference Date |
2016-11-24 - 2016-11-25 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Shimonoseki Chember of Commerce and Industry |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Network Quality, Network Measurement and Management, Network Virtualization, Network Service, General |
Paper Information |
Registration To |
NS |
Conference Code |
2016-11-NS-CQ-ICM-NV |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A Study of Computing Resource Allocation Based on Model Predictive Control for Business-Critical Systems in Hybrid Cloud Environment |
Sub Title (in English) |
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hybrid cloud |
Keyword(2) |
model predictive control |
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computing resources |
Keyword(4) |
utilization |
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1st Author's Name |
Yukio Ogawa |
1st Author's Affiliation |
Muroran Institute of Technology (Muroran IT) |
2nd Author's Name |
Go Hasegawa |
2nd Author's Affiliation |
Osaka University (Osaka Univ.) |
3rd Author's Name |
Masayuki Murata |
3rd Author's Affiliation |
Osaka University (Osaka Univ.) |
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Speaker |
Author-1 |
Date Time |
2016-11-24 09:45:00 |
Presentation Time |
25 minutes |
Registration for |
NS |
Paper # |
NS2016-101 |
Volume (vol) |
vol.116 |
Number (no) |
no.322 |
Page |
pp.1-6 |
#Pages |
6 |
Date of Issue |
2016-11-17 (NS) |
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