Jellyfish: Timely inference serving for dynamic edge networks

V Nigade, P Bauszat, H Bal… - 2022 IEEE Real-Time …, 2022 - ieeexplore.ieee.org
While high accuracy is of paramount importance for deep learning (DL) inference, serving
inference requests on time is equally critical but has not been carefully studied especially …
被引用次数：13 相关文章
[PDF] linwang.info

[PDF][PDF] Jellyfish: Timely Inference Serving for Dynamic Edge Networks

V Nigade, P Bauszat, H Bal, L Wang - Network - linwang.info
While high accuracy is of paramount importance for deep learning (DL) inference, serving
inference requests on time is equally critical but has not been carefully studied especially …

Jellyfish: Timely Inference Serving for Dynamic Edge Networks

V Nigade, P Bauszat, H Bal, L Wang - 2022 IEEE Real-Time Systems …, 2022 - computer.org
While high accuracy is of paramount importance for deep learning (DL) inference, serving
inference requests on time is equally critical but has not been carefully studied especially …

Jellyfish: Timely Inference Serving for Dynamic Edge Networks

V Nigade, P Bauszat, H Bal, L Wang - 2022 IEEE Real-Time Systems …, 2022 - research.vu.nl
While high accuracy is of paramount importance for deep learning (DL) inference, serving
inference requests on time is equally critical but has not been carefully studied especially …
[PDF] github.io

[PDF][PDF] Jellyfish: Timely Inference Serving for Dynamic Edge Networks

V Nigade, P Bauszat, H Bal, L Wang - Network - vnigade.github.io
While high accuracy is of paramount importance for deep learning (DL) inference, serving
inference requests on time is equally critical but has not been carefully studied especially …
[PDF] github.io

[PDF][PDF] Jellyfish: Timely Inference Serving for Dynamic Edge Networks

V Nigade, P Bauszat, H Bal, L Wang - vnigade.github.io
Jellyfish: Timely Inference Serving for Dynamic Edge Networks Page 1 Jellyfish: Timely
Inference Serving for Dynamic Edge Networks Vinod Nigade, Pablo Bauszat, Henri Bal, Lin …