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Paper Abstract and Keywords
Presentation 2023-01-26 13:35
Performance Evaluation of VM Placement Method Using Compressed Sensing-Based Traffic Estimator
Ami Yamamoto, Kenta Yumoto, Takahiro Matsuda (TMU), Junichi Higuchi, Takeshi Kodama, Hitoshi Ueno (Fujitsu) CQ2022-66
Abstract (in Japanese) (See Japanese page) 
(in English) In a cloud computing environment with networked Virtual Machines~(VMs) and networked physical hosts, we proposed a traffic estimation scheme based on compressed sensing~(CS), where traffic volumes between all pairs of VMs~(Virtual Machines) are estimated from transmitted and received traffic volumes of VMs. In this study, in order to avoid congestion at NICs~(Network Interface Cards) in physical hosts, we propose a VM placement scheme to assign a physical host to each VM according to estimated traffic volumes. In the proposed scheme, traffic volumes passing through NICs and within the physical hosts are calculated from estimated traffic volumes, and the optimal VM placement is determined by solving an optimization problem with these variances. We evaluate the performance of the proposed scheme with simulation experiments.
Keyword (in Japanese) (See Japanese page) 
(in English) Virtual Machine / Compressed Sensing / VM placement / Traffic Volume Estimation / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 363, CQ2022-66, pp. 29-34, Jan. 2023.
Paper # CQ2022-66 
Date of Issue 2023-01-19 (CQ) 
ISSN Online edition: ISSN 2432-6380
Copyright
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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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Conference Information
Committee CQ CBE  
Conference Date 2023-01-26 - 2023-01-27 
Place (in Japanese) (See Japanese page) 
Place (in English) Epochal Tsukuba International Congress Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) AR/VR, Broadcasting Service, Video/Voice Services Quality, High Realistic, User Behavior/Psychology, User Experience, Media Quality, Network Quality and QoS Control, Networks and Communications at Disaster, Machine Learning, etc. 
Paper Information
Registration To CQ 
Conference Code 2023-01-CQ-CBE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Performance Evaluation of VM Placement Method Using Compressed Sensing-Based Traffic Estimator 
Sub Title (in English)  
Keyword(1) Virtual Machine  
Keyword(2) Compressed Sensing  
Keyword(3) VM placement  
Keyword(4) Traffic Volume Estimation  
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1st Author's Name Ami Yamamoto  
1st Author's Affiliation Tokyo Metropolitan University (TMU)
2nd Author's Name Kenta Yumoto  
2nd Author's Affiliation Tokyo Metropolitan University (TMU)
3rd Author's Name Takahiro Matsuda  
3rd Author's Affiliation Tokyo Metropolitan University (TMU)
4th Author's Name Junichi Higuchi  
4th Author's Affiliation Fujitsu Ltd. (Fujitsu)
5th Author's Name Takeshi Kodama  
5th Author's Affiliation Fujitsu Ltd. (Fujitsu)
6th Author's Name Hitoshi Ueno  
6th Author's Affiliation Fujitsu Ltd. (Fujitsu)
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Speaker Author-1 
Date Time 2023-01-26 13:35:00 
Presentation Time 25 minutes 
Registration for CQ 
Paper # CQ2022-66 
Volume (vol) vol.122 
Number (no) no.363 
Page pp.29-34 
#Pages
Date of Issue 2023-01-19 (CQ) 


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