Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Tatsuya Otoshi"'
Publikováno v:
Annals of Telecommunications. 78:53-70
Publikováno v:
2023 International Conference on Computing, Networking and Communications (ICNC).
Autor:
Tatsuya Otoshi, Masayuki Murata
Publikováno v:
2023 International Conference on Computing, Networking and Communications (ICNC).
Autor:
Daichi Kominami, Sayaka Nishide, Satoshi Nishimura, Tatsuya Otoshi, Masaaki Kurozumi, Daiki Fukudome, Masao Yamamoto, Masayuki Murata
Publikováno v:
2022 IEEE/ACM 30th International Symposium on Quality of Service (IWQoS).
Publikováno v:
2022 International Conference on Information Networking (ICOIN).
Publikováno v:
2021 IEEE Global Communications Conference (GLOBECOM).
A Network and Computing Resource Management Method based on Population Prediction in Mobile Networks
Publikováno v:
NoF
Existing traffic prediction methods are based on previously collected traffic patterns. The measured data is used to train and create a model, and the model predicts future traffic patterns. However, mobile traffic accounts for the majority of networ
Publikováno v:
IEICE Transactions on Communications. :111-121
Publikováno v:
ICC
Network virtualization is expected to handle various forms of network traffic induced by Internet of Things applications and other Internet-based services. Because traffic patterns change with time, virtual networks should be dynamically reconstructe
Autor:
Shin'ichi Arakawa, Tatsuya Otoshi
Publikováno v:
Fluctuation-Induced Network Control and Learning ISBN: 9789813349759
Yuragi learning is a paradigm that uses attractors as state templates of network systems. Under uncertain or fluctuating traffic in the network systems, template matching with predefined attractors is first examined, and the state of the network syst
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b60a9aed8a442f1993133d9e60d99b5
https://doi.org/10.1007/978-981-33-4976-6_5
https://doi.org/10.1007/978-981-33-4976-6_5