Name
Abstract | ||
|---|---|---|
The area of AI application continues to grow from resource-rich environment such as cloud to resource-constraint environment such as embedded devices. However, management of AI on the embedded device is still a challenging task due to different environment other that resource-rich devices. This paper proposes an AI management platform for a cluster which consists of edge devices and cloud resource... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ICCE50685.2021.9427731 | 2021 IEEE International Conference on Consumer Electronics (ICCE) |
Keywords | DocType | ISBN |
artificial intelligence,deep learning,edge management,AI management,embedded device | Conference | 978-1-7281-9766-1 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Seungwoo Kum | 1 | 1 | 2.05 |
| Miseon Yu | 2 | 0 | 0.34 |
| Youngkee Kim | 3 | 0 | 0.34 |
| Jaewon Moon | 4 | 0 | 0.34 |
| Silvio Cretti | 5 | 10 | 3.31 |