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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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
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
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)