Name
Title | ||
|---|---|---|
DDPQN: An Efficient DNN Offloading Strategy in Local-Edge-Cloud Collaborative Environments |
Abstract | ||
|---|---|---|
With the rapid development of the Internet of Things (IoT) and communication technology, Deep Neural Network (DNN) applications like computer vision, can now be widely used in IoT devices. However, due to the insufficient memory, low computing capacity, and low battery capacity of IoT devices, it is difficult to support the high-efficiency DNN inference and meet users’ requirements for Quality of ... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TSC.2021.3116597 | IEEE Transactions on Services Computing |
Keywords | DocType | Volume |
Servers,Delays,Computational modeling,Cloud computing,Costs,Energy consumption,Collaboration | Journal | 15 |
Issue | ISSN | Citations |
2 | 1939-1374 | 0 |
PageRank | References | Authors |
0.34 | 26 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Min Xue | 1 | 0 | 0.68 |
| Huaming Wu | 2 | 81 | 14.49 |
| Guang Peng | 3 | 6 | 1.75 |
| Katinka Wolter | 4 | 383 | 44.10 |