| Traffic prediction for dynamic traffic engineering T Otoshi, Y Ohsita, M Murata, Y Takahashi, K Ishibashi, K Shiomoto Computer Networks 85, 36-50, 2015 | 50 | 2015 |
| Dynamic placement of virtual network functions based on model predictive control K Kawashima, T Otoshi, Y Ohsita, M Murata NOMS 2016-2016 IEEE/IFIP Network Operations and Management Symposium, 1037-1042, 2016 | 18 | 2016 |
| Separating predictable and unpredictable flows via dynamic flow mining for effective traffic engineering Y Takahashi, K Ishibashi, M Tsujino, N Kamiyama, K Shiomoto, T Otoshi, ... IEICE Transactions on Communications 101 (2), 538-547, 2018 | 17 | 2018 |
| Traffic prediction for dynamic traffic engineering considering traffic variation T Otoshi, Y Ohsita, M Murata, Y Takahashi, K Ishibashi, K Shiomoto 2013 IEEE Global Communications Conference (GLOBECOM), 1570-1576, 2013 | 16 | 2013 |
| Traffic engineering based on stochastic model predictive control for uncertain traffic change T Otoshi, Y Ohsita, M Murata, Y Takahashi, K Ishibashi, K Shiomoto, ... 2015 IFIP/IEEE International Symposium on Integrated Network Management (IM …, 2015 | 14 | 2015 |
| Traffic engineering based on model predictive control T Otoshi, Y Ohsita, M Murata, Y Takahashi, N Kamiyama, K Ishibashi, ... IEICE Transactions on Communications 98 (6), 996-1007, 2015 | 13 | 2015 |
| Flow aggregation for traffic engineering N Kamiyama, Y Takahashi, K Ishibashi, K Shiomoto, T Otoshi, Y Ohsita, ... 2014 IEEE global communications conference, 1936-1941, 2014 | 11 | 2014 |
| Hierarchical model predictive traffic engineering T Otoshi, Y Ohsita, M Murata, Y Takahashi, K Ishibashi, K Shiomoto, ... IEEE/ACM Transactions on Networking 26 (4), 1754-1767, 2018 | 8 | 2018 |
| Rate adaptation with Bayesian attractor model for MPEG-DASH M Iwamoto, T Otoshi, D Kominami, M Murata 2019 IEEE 9th Annual Computing and Communication Workshop and Conference …, 2019 | 7 | 2019 |
| A novel network traffic prediction method based on a Bayesian network model for establishing the relationship between traffic and population K Shiomoto, T Otoshi, M Murata Annals of Telecommunications 78 (1), 53-70, 2023 | 5 | 2023 |
| Acquiring new categories by self data gathering with Bayesian attractor model T Otoshi, S Arakawa, M Murata, K Wang, T Hosomi, T Kanoh 2020 IEEE International Conference on Human-Machine Systems (ICHMS), 1-4, 2020 | 4 | 2020 |
| Optimizing cache location and route on CDN using model predictive control N Kamiyama, Y Takahashi, K Ishibashi, K Shiomoto, T Otoshi, Y Ohsita, ... 2015 27th International Teletraffic Congress, 37-45, 2015 | 4 | 2015 |
| Prediction-based control theoretic approach for robust traffic engineering T Otoshi Master’s thesis, Graduate School of Information Science and Technology …, 2014 | 4 | 2014 |
| トラヒック予測を考慮したトラヒックエンジニアリングの検討と評価 大歳達也， 大下裕一， 村田正幸， 高橋洋介， 上山憲昭， 石橋圭介， ... 電子情報通信学会 技術研究報告 (IN2013-78) 113 (245), 7-12, 2013 | 4 | 2013 |
| Implementation of quantum decision-making based recommendation method for adaptive bitrate streaming T Otoshi, M Murata 2019 22nd Conference on Innovation in Clouds, Internet and Networks and …, 2019 | 3 | 2019 |
| Framework for traffic engineering under uncertain traffic information T Otoshi, Y Ohsita, M Murata, Y Takahashi, K Ishibashi, K Shiomoto, ... 2016 International Conference on Information and Communication Technology …, 2016 | 3 | 2016 |
| モデル予測制御にもとづくトラヒックエンジニアリングの実ネットワークにおけるトラヒックデータを用いた評価 大歳達也， 大下裕一， 村田正幸， 高橋洋介， 上山憲昭， 石橋圭介， ... 電子情報通信学会 技術研究報告 (IN2013-194) 113 (473), 299-304, 2013 | 3 | 2013 |
| Adaptive Network Slicing Control Method for Unpredictable Network Variations using Quality-Diversity Algorithms A Otsuki, D Kominami, H Shimonishi, M Murata, T Otoshi 2024 IEEE 21st Consumer Communications & Networking Conference (CCNC), 819-822, 2024 | 2 | 2024 |
| Non-parametric decision-making by Bayesian attractor model for dynamic slice selection T Otoshi, S Arakawa, M Murata, T Hosomi 2021 IEEE Global Communications Conference (GLOBECOM), 1-6, 2021 | 2 | 2021 |
| Flexible updating of attractors in virtual network topology control with bayesian attractor model T Otoshi, S Arakawa, M Murata, K Wang, T Hosomi, T Kanoh ICC 2021-IEEE International Conference on Communications, 1-6, 2021 | 2 | 2021 |
