| 研究者所属（当時） | 資格 | 氏名 | |
|---|---|---|---|
| （代表者） | 理工学術院 基幹理工学部 | 助教 | グエン ゴック クワン |
| （連携研究者） | GITI, Waseda University | Visiting Professor | Toshitaka Tsuda |
| （連携研究者） | Aalto University | Professor | Tarik Taleb |
| （連携研究者） | The University of Tokyo | Professor | Akihiro Nakao |
- 研究成果概要
This project proposes a novel content dissemination model which can adapt power consumption of network nodes to the optimized utilization level proportionally. The cross-layer power adaption is conducted through adjusting link rate dynamically according to the content popularity to reduce wasteful power consumption of content nodes. Moreover, we propose an intelligent caching scheme, in which the caching portion is adjusted based on the content popularity and available space of each node. Regarding the Network slicing architecture, each slice provides a dedicated networking solution that matches specific applications. Particularly, each slice has single or multiple services, and the UE (User Equipment) can attach to multiple slices and request the creation of a slice for real-time services like live event streaming. To enable dynamic content delivery and VNF (Virtual Network Function) allocation, the network-slicing framework realizes slice stitching mechanism which allows one slice to interact with another slice via multi-domain orchestration with scalable slice management.