| Presentation | 2020-09-10 [Invited Lecture] Flexible Resource Management System for Full-scale spread of 5G/IoT Hidenori Inouchi, Shu Yamamoto, Akihiro Nakao, Masanori Taira, Mikio Kuwahara, Akiko Nagasawa, Kenichi Nakura, Kozaki Seiji, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In 5G/IoT where the full-scale spread is anticipated in around 2025, it will become important from the view of the economization that IoT service of a great variety should provide necessary service for a user at necessary time by assigning a dynamically flexible and effective resource. In this report, we report a network slicing system by using IoT traffic classification method based on traffic monitoring and machine learning. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | 5G / IoT / ML/AI / Network Slicing |
| Paper # | CS2020-34 |
| Date of Issue | 2020-09-03 (CS) |
| Conference Information | |
| Committee | CS / IN / NS |
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| Conference Date | 2020/9/10(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Session management (SIP/IMS), Interoperability/Standardization, NGN/NwGN/Future networks, Cloud/Data center networks, SDN (OpenFlow, etc.)/NFV, IPv6, Machine learning, etc. |
| Chair | Jun Terada(NTT) / Kenji Ishida(Hiroshima City Univ.) / Akihiro Nakao(Univ. of Tokyo) |
| Vice Chair | Daisuke Umehara(Kyoto Inst. of Tech.) / Kunio Hato(Internet Multifeed) / Tetsuya Oishi(NTT) |
| Secretary | Daisuke Umehara(Mitsubishi Electric) / Kunio Hato(NICT) / Tetsuya Oishi(Hiroshima City Univ.) |
| Assistant | Hiroyuki Saito(OKI) / Takahiro Yamaura(Toshiba) / / Shinya Kawano(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Communication Systems / 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) | [Invited Lecture] Flexible Resource Management System for Full-scale spread of 5G/IoT |
| Sub Title (in English) | ML/AL application to 5G/IoT service |
| Keyword(1) | 5G |
| Keyword(2) | IoT |
| Keyword(3) | ML/AI |
| Keyword(4) | Network Slicing |
| Keyword(5) | |
| 1st Author's Name | Hidenori Inouchi |
| 1st Author's Affiliation | The University of Tokyo(UT) |
| 2nd Author's Name | Shu Yamamoto |
| 2nd Author's Affiliation | The University of Tokyo(UT) |
| 3rd Author's Name | Akihiro Nakao |
| 3rd Author's Affiliation | The University of Tokyo(UT) |
| 4th Author's Name | Masanori Taira |
| 4th Author's Affiliation | Hitachi, Ltd.(HITACHI) |
| 5th Author's Name | Mikio Kuwahara |
| 5th Author's Affiliation | Hitachi, Ltd.(HITACHI) |
| 6th Author's Name | Akiko Nagasawa |
| 6th Author's Affiliation | Mitsubishi Electric corporation(Mitsubishi Electric) |
| 7th Author's Name | Kenichi Nakura |
| 7th Author's Affiliation | Mitsubishi Electric corporation(Mitsubishi Electric) |
| 8th Author's Name | Kozaki Seiji |
| 8th Author's Affiliation | Mitsubishi Electric corporation(Mitsubishi Electric) |
| Date | 2020-09-10 |
| Paper # | CS2020-34 |
| Volume (vol) | vol.120 |
| Number (no) | CS-164 |
| Page | pp.pp.1-4(CS), |
| #Pages | 4 |
| Date of Issue | 2020-09-03 (CS) |