Cargando…
A Joint Model Provisioning and Request Dispatch Solution for Low-Latency Inference Services on Edge
With the advancement of machine learning, a growing number of mobile users rely on machine learning inference for making time-sensitive and safety-critical decisions. Therefore, the demand for high-quality and low-latency inference services at the network edge has become the key to modern intelligen...
Autores principales: | Prasad, Anish, Mofjeld, Carl, Peng, Yang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8513104/ https://www.ncbi.nlm.nih.gov/pubmed/34640914 http://dx.doi.org/10.3390/s21196594 |
Ejemplares similares
-
Automatic heterogeneous quantization of deep neural networks for low-latency inference on the edge for particle detectors
por: Coelho, Claudionor N., et al.
Publicado: (2020) -
Light at the edge of the universe: dispatches from the front lines of cosmology
por: Lemonick, Michael D
Publicado: (2014) -
The light at the edge of the Universe: dispatches from the front lines of cosmology
por: Lemonick, Michael D
Publicado: (1993) -
Health-BlockEdge: Blockchain-Edge Framework for Reliable Low-Latency Digital Healthcare Applications
por: Ejaz, Muneeb, et al.
Publicado: (2021) -
Optimal Service Provisioning for the Scalable Fog/Edge Computing Environment
por: Choi, Jonghwa, et al.
Publicado: (2021)