Presentation | 2016-05-19 A Proposal for Supervised Learning Based Automatic Adaptation of Virtualized Resource Selection Policy Takaya Miyazawa, Hiroaki Harai, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | It is essential to guarantee quality of services (QoS) by automatically selecting appropriate network and computer resources to virtual networks (consisting of edge, core networks and datacenters) requiring high level of QoS when the surrounding network environments are rapidly-varying. In this paper, we propose to apply a classification method of supervised learning to determining a policy of virtualized resource selection for virtual networks (VNs). When a new logical network is constructed, virtualized resources are selected according to the resource selection policy decided by the learning method. Then, our proposed framework automatically and adaptively update the resource selection policy by autonomously executing relearning on the basis of urgent events, performances of VNs, and so on. Our proposed scheme will make it easier to exclusively occupy virtualized resources guaranteeing QoS especially for VNs requiring high level of QoS by reducing the blocking probability in resources request for the construction of the VNs. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Virtual Network / Resource Selection / Supervised Learning / Quality of Service / Support Vector Machine / Network Virtualization |
Paper # | NS2016-16 |
Date of Issue | 2016-05-12 (NS) |
Conference Information | |
Committee | NS |
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Conference Date | 2016/5/19(2days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | Yokohama-shi kyouikukaikan |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
Chair | Atsushi Hiramatsu(NTT-AT) |
Vice Chair | Hideki Tode(Osaka Pref. Univ.) |
Secretary | Hideki Tode(Univ. of Fukui) |
Assistant | Shohei Kamamura(NTT) |
Paper Information | |
Registration To | Technical Committee on Network Systems |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A Proposal for Supervised Learning Based Automatic Adaptation of Virtualized Resource Selection Policy |
Sub Title (in English) | |
Keyword(1) | Virtual Network |
Keyword(2) | Resource Selection |
Keyword(3) | Supervised Learning |
Keyword(4) | Quality of Service |
Keyword(5) | Support Vector Machine |
Keyword(6) | Network Virtualization |
1st Author's Name | Takaya Miyazawa |
1st Author's Affiliation | National Institute of Information and Communications Technology(NICT) |
2nd Author's Name | Hiroaki Harai |
2nd Author's Affiliation | National Institute of Information and Communications Technology(NICT) |
Date | 2016-05-19 |
Paper # | NS2016-16 |
Volume (vol) | vol.116 |
Number (no) | NS-44 |
Page | pp.pp.13-18(NS), |
#Pages | 6 |
Date of Issue | 2016-05-12 (NS) |