Presentation 2023-03-02
Online Deep Reinforcement Learning for Network Slice Reconfiguration under Variable Number of Service Function Chains
Kairi Tokuda, Takehiro Sato, Eiji Oki,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper proposes Deep reinforcement learning model for Network Slice Reconfiguration with Dummy and Partial greedy exploration (DNSR-DP), an online learning model that addresses the SFC reconfiguration on a network slice under the variable number of SFCs.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) network function virtualization / service chaining / deep reinforcement learning
Paper # NS2022-181
Date of Issue 2023-02-23 (NS)

Conference Information
Committee IN / NS
Conference Date 2023/3/2(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Okinawa Convention Centre + Online
Topics (in Japanese) (See Japanese page)
Topics (in English) General
Chair Kunio Hato(Internet Multifeed) / Tetsuya Oishi(NTT)
Vice Chair Tsutomu Murase(Nagoya Univ.) / Takumi Miyoshi(Shibaura Insti of Tech.)
Secretary Tsutomu Murase(KDDI Research) / Takumi Miyoshi(Nagaoka Univ. of Tech.)
Assistant / Kotaro Mihara(NTT)

Paper Information
Registration To Technical Committee on Information Networks / Technical Committee on Network Systems
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Online Deep Reinforcement Learning for Network Slice Reconfiguration under Variable Number of Service Function Chains
Sub Title (in English)
Keyword(1) network function virtualization
Keyword(2) service chaining
Keyword(3) deep reinforcement learning
1st Author's Name Kairi Tokuda
1st Author's Affiliation Kyoto University(Kyoto Univ.)
2nd Author's Name Takehiro Sato
2nd Author's Affiliation Kyoto University(Kyoto Univ.)
3rd Author's Name Eiji Oki
3rd Author's Affiliation Kyoto University(Kyoto Univ.)
Date 2023-03-02
Paper # NS2022-181
Volume (vol) vol.122
Number (no) NS-406
Page pp.pp.83-88(NS),
#Pages 6
Date of Issue 2023-02-23 (NS)