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| Presentation | 2022-03-11 09:30 Compressed Sensing-Based Traffic Volume Estimation for Live VM Migration Kenta Yumoto, Takahiro Matsuda (TMU), Junichi Higuchi, Takeshi Kodama, Hitoshi Ueno (Fujitsu)  CQ2021-126 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In a cloud computing environment with networked virtual machines(VMs), we consider a network-aware live VM migration, where VMs injecting heavy traffic volume are migrated for load balancing of physical hosts in the cloud environment. In this article, we propose a compressed sensing(CS)-based traffic volume estimation scheme for the live VM migration. We refer to a VM or a physical network interface cards(NIC) in the cloud environment as node, and define a flow as a pair of nodes. We also define an observed node vector including transmitted and received traffic volumes of nodes and an unknown flow vector including traffic volumes of flows, and formulate a relationship between the node vector and the flow vector with a system of linear equations. Based on an assumption that the number of active flows is much smaller than the number of total flows, the flow vector is estimated from the node vector with CS. From the estimated flow vector, we can identify a flow with a heavy traffic volume. We evaluate the performance of the proposed scheme in a simple simulation scenario. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Virtual Machine / compressed sensing / Live Migration / traffic volume estimation / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 421, CQ2021-126, pp. 142-147, March 2022. | |
| Paper # | CQ2021-126 | |
| Date of Issue | 2022-03-02 (CQ) | |
| 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 | CQ2021-126 |
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| Conference Information | |
| Committee | CQ IMQ MVE IE |
| Conference Date | 2022-03-09 - 2022-03-11 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online (Zoom) |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Media of five senses, Multimedia, Media experience, Picture codinge, Image media quality, Network,quality and reliability, etc |
| Paper Information | |
| Registration To | CQ |
| Conference Code | 2022-03-CQ-IMQ-MVE-IE |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Compressed Sensing-Based Traffic Volume Estimation for Live VM Migration |
| Sub Title (in English) | |
| Keyword(1) | Virtual Machine |
| Keyword(2) | compressed sensing |
| Keyword(3) | Live Migration |
| Keyword(4) | traffic volume estimation |
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| 1st Author's Name | Kenta Yumoto |
| 1st Author's Affiliation | Tokyo Metropolitan University (TMU) |
| 2nd Author's Name | Takahiro Matsuda |
| 2nd Author's Affiliation | Tokyo Metropolitan University (TMU) |
| 3rd Author's Name | Junichi Higuchi |
| 3rd Author's Affiliation | Fujitsu Ltd (Fujitsu) |
| 4th Author's Name | Takeshi Kodama |
| 4th Author's Affiliation | Fujitsu Ltd (Fujitsu) |
| 5th Author's Name | Hitoshi Ueno |
| 5th Author's Affiliation | Fujitsu Ltd (Fujitsu) |
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| Speaker | Author-1 |
| Date Time | 2022-03-11 09:30:00 |
| Presentation Time | 25 minutes |
| Registration for | CQ |
| Paper # | CQ2021-126 |
| Volume (vol) | vol.121 |
| Number (no) | no.421 |
| Page | pp.142-147 |
| #Pages | 6 |
| Date of Issue | 2022-03-02 (CQ) |
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