| Presentation | 2019-03-05 Study on VNF Migration Scheduling by using Encoder-Decoder Recurrent Neural Network Takahiro Hirayama, Takaya Miyazawa, Masahiro Jibiki, Ved P. Kafle, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Service function chaining (SFC) enables network operators to flexibly provide diverse services such as Internet-of-Things (IoT) and mobile applications. SFC technologies are required to offer stable and guaranteed quality-of-service (QoS) even in the circumstances of dynamically-changing resource demands and traffic volumes. To meet QoS requirements against time-varying network environment, infrastructure providers need to dynamically adjust the amount of computational resources such as CPU assigned to virtual network functions (VNFs) in each service function chain. However, related works have limitations that they cannot provide an agile operation of VNF migration as they require a large number of iterations. In order to overcome these limitations, in this paper we propose to utilize an encoder-decoder recurrent neural network and train it to solve the VNF migration scheduling problem. Through the simulation, we verify that the proposed method can agilely determine VNF redeployment locations by keeping the frequency of server overload and VNF migration minimum. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Service function chaining (SFC) / Mixed integer programing (MIP) / Machine learning (ML) / Recurrent neural network (RNN) / Function migration |
| Paper # | IN2018-142 |
| Date of Issue | 2019-02-25 (IN) |
| Conference Information | |
| Committee | IN / NS |
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| Conference Date | 2019/3/4(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Okinawa Convention Center |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | General |
| Chair | Takuji Kishida(NTT-AT) / Yoshikatsu Okazaki(NTT) |
| Vice Chair | Kenji Ishida(Hiroshima City Univ.) / Akihiro Nakao(Univ. of Tokyo) |
| Secretary | Kenji Ishida(KDDI Research) / Akihiro Nakao(KDDI Research) |
| Assistant | / Kenichi Kashibuchi(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Information Networks / 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) | Study on VNF Migration Scheduling by using Encoder-Decoder Recurrent Neural Network |
| Sub Title (in English) | |
| Keyword(1) | Service function chaining (SFC) |
| Keyword(2) | Mixed integer programing (MIP) |
| Keyword(3) | Machine learning (ML) |
| Keyword(4) | Recurrent neural network (RNN) |
| Keyword(5) | Function migration |
| 1st Author's Name | Takahiro Hirayama |
| 1st Author's Affiliation | National Institute of Information and Communications Technology(NICT) |
| 2nd Author's Name | Takaya Miyazawa |
| 2nd Author's Affiliation | National Institute of Information and Communications Technology(NICT) |
| 3rd Author's Name | Masahiro Jibiki |
| 3rd Author's Affiliation | National Institute of Information and Communications Technology(NICT) |
| 4th Author's Name | Ved P. Kafle |
| 4th Author's Affiliation | National Institute of Information and Communications Technology(NICT) |
| Date | 2019-03-05 |
| Paper # | IN2018-142 |
| Volume (vol) | vol.118 |
| Number (no) | IN-466 |
| Page | pp.pp.349-354(IN), |
| #Pages | 6 |
| Date of Issue | 2019-02-25 (IN) |