Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Masahiro Jibiki"'
Publikováno v:
IEEE Access, Vol 7, Pp 108174-108188 (2019)
Virtual resource arbitration, adjustment, and migration are techniques used by infrastructure providers (InPs) to manage limited resources and maximize revenue by serving as many virtual network operators (VNOs) as possible. However, these techniques
Externí odkaz:
https://doaj.org/article/7a65ccdac0364a6aa68422ea5c2e7805
Publikováno v:
2022 18th International Conference on Network and Service Management (CNSM).
Publikováno v:
2022 IEEE Future Networks World Forum (FNWF).
Publikováno v:
IEICE Transactions on Information and Systems. :606-616
Autor:
Masahiro Jibiki, Suyong Eum
Publikováno v:
IEICE Transactions on Communications. :464-473
Publikováno v:
IEEE Access, Vol 7, Pp 108174-108188 (2019)
Virtual resource arbitration, adjustment, and migration are techniques used by infrastructure providers (InPs) to manage limited resources and maximize revenue by serving as many virtual network operators (VNOs) as possible. However, these techniques
Autor:
Norio Kondo, Yusuke Suzuki, Takayuki Warabino, Hideki Yamamoto, Tetsu Joh, Genichi Mori, Masahiro Jibiki
Publikováno v:
ICAIIC
Several AI-assisted network researches were done from the network service providers point of view. However the reference model between service providers and network providers were not discussed. Therefore service providers did not use the merit of AI
Publikováno v:
NetSoft
Web of Science
Web of Science
Network function virtualization (NFV) enables network operators to flexibly provide diverse virtualized functions for services such as Internet of things (IoT) and mobile applications. NFV platforms are required to offer stable and guaranteed quality
Publikováno v:
Future Generation Computer Systems. 78:920-930
The rising popularity of big data processing for semantically rich applications such as social networks and IoT (Internet of Things) has made the range-queriable cloud storage increasingly important. To support range queries, the data locality is pre