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| Presentation | 2017-08-29 13:45 Proposal of the Data Center-centric Flow Classification Method using Traffic Paterns Yukihiro Imakiire, Takehiro Sato, Satoru Okamoto, Naoaki Yamanaka (Keio Univ.)  PN2017-25 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Introduction of optical switching networks into Data Center networks (DCNs) attracts attention to reduce power consumption in Data Centers. We have proposed “HOLST” as a hybrid optical/electrical switching DCN architecture with optical TDM switching. In the “HOLST” architecture, an optical switching network is constructed with combining both MEMS and PLZT optical switches. To realize reducing power consumption in DCN, packet flow size detection method is required to classify flows into the electrical switching network, the optical TDM switching network, and the optical wavelength switching network. In addition, there are some requirements as the method of detecting flow size especially in DCN, such as high-speed detection for multi-characteristics of flows and overcoming traffic behavior e.g. mice flooding. In this paper, we will propose a flow classifying method using a hierarchical LRU (Least Recently Used) queues in a ToR (Top of Rack) switch. The proposed method takes in to account frequent flow arrival and traffic behavior in “HOLST”. We evaluate the accuracy of detecting flows and the effect of power reduction of the proposed method compared to conventional methods in DCN. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Data center network / Elephant flow / Mice flooding / Online flow detection / LRU / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 117, no. 186, PN2017-25, pp. 63-68, Aug. 2017. | |
| Paper # | PN2017-25 | |
| Date of Issue | 2017-08-21 (PN) | |
| 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) | |
| Notes on Review | This article is a technical report without peer review, and its polished version will be published elsewhere. | |
| Download PDF | PN2017-25 |
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| Conference Information | |
| Committee | PN |
| Conference Date | 2017-08-28 - 2017-08-29 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Toya Kanko Hotel |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Photonic network technologies |
| Paper Information | |
| Registration To | PN |
| Conference Code | 2017-08-PN |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Proposal of the Data Center-centric Flow Classification Method using Traffic Paterns |
| Sub Title (in English) | |
| Keyword(1) | Data center network |
| Keyword(2) | Elephant flow |
| Keyword(3) | Mice flooding |
| Keyword(4) | Online flow detection |
| Keyword(5) | LRU |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Yukihiro Imakiire |
| 1st Author's Affiliation | Keio University (Keio Univ.) |
| 2nd Author's Name | Takehiro Sato |
| 2nd Author's Affiliation | Keio University (Keio Univ.) |
| 3rd Author's Name | Satoru Okamoto |
| 3rd Author's Affiliation | Keio University (Keio Univ.) |
| 4th Author's Name | Naoaki Yamanaka |
| 4th Author's Affiliation | Keio University (Keio Univ.) |
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| Speaker | Author-1 |
| Date Time | 2017-08-29 13:45:00 |
| Presentation Time | 25 minutes |
| Registration for | PN |
| Paper # | PN2017-25 |
| Volume (vol) | vol.117 |
| Number (no) | no.186 |
| Page | pp.63-68 |
| #Pages | 6 |
| Date of Issue | 2017-08-21 (PN) |
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