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Paper Abstract and Keywords
Presentation 2018-07-12 14:05
A Study on Adaptive Control Interval in Cloud Systems and an Evaluation of Flash Crowd Events
Yukio Ogawa (Muroran IT), Go Hasegawa, Masayuki Murata (Osaka Univ.) NS2018-66
Abstract (in Japanese) (See Japanese page) 
(in English) Adaptive resource scaling is necessary for improving utilization in cloud systems. There is a trade-off relationship between utilization of computing resources and the control interval of them, and the optimal control interval depends on the changing behavior of arrival requests. In this report, we make the length of control interval changeable and adaptive so as not to increase the total number of reconfiguration while keeping a constant amount of the excess resources, even when a flash crowd event occurs in cloud systems. We first formulate dynamic control intervals to which changes in request arrival rate and their prediction errors are fitted. We then conducted numerical simulations with real-world arrival traces including flash crowd events. The results indicate that our proposed approach is effective for accommodating a sudden spike in request arrivals.
Keyword (in Japanese) (See Japanese page) 
(in English) cloud system / auto-scaling / control interval / flash crowd / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 124, NS2018-66, pp. 139-144, July 2018.
Paper # NS2018-66 
Date of Issue 2018-07-04 (NS) 
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 NS2018-66

Conference Information
Committee ASN NS RCS SR RCC  
Conference Date 2018-07-11 - 2018-07-13 
Place (in Japanese) (See Japanese page) 
Place (in English) Hakodate Arena 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Wireless Distributed Network, Machine Learning and AI for Wireless Communications and Networks, M2M (Machine-to-Machine), D2D (Device-to-Device), IoT（Internet of Things）, etc. 
Paper Information
Registration To NS 
Conference Code 2018-07-ASN-NS-RCS-SR-RCC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Adaptive Control Interval in Cloud Systems and an Evaluation of Flash Crowd Events 
Sub Title (in English)  
Keyword(1) cloud system  
Keyword(2) auto-scaling  
Keyword(3) control interval  
Keyword(4) flash crowd  
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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 2018-07-12 14:05:00 
Presentation Time 25 minutes 
Registration for NS 
Paper # NS2018-66 
Volume (vol) vol.118 
Number (no) no.124 
Page pp.139-144 
#Pages 6 
Date of Issue 2018-07-04 (NS) 

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