Dynamic DNN model selection and inference off loading for video analytics with edge-cloud collaboration
Author:
Affiliation:
1. Nanjing University of Science and Technology, Nanjing, China
2. Nanyang Technological University, Singapore
3. Southeast University, Nanjing, China
Funder
Natural Science Foundation of Jiangsu Province
Natural Science Foundation of China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3534088.3534352
Reference18 articles.
1. Deep Contextualized Compressive Offloading for Images
2. QoS-Aware Placement of Deep Learning Services on the Edge with Multiple Service Implementations
3. VideoEdge: Processing Camera Streams using Hierarchical Clusters
4. Chameleon
5. Jingyan Jiang , Ziyue Luo , Chenghao Hu , Zhaoliang He , Zhi Wang , Shutao Xia , and Chuan Wu . 2021 . Joint Model and Data Adaptation for Cloud Inference Serving. In 2021 IEEE Real-Time Systems Symposium (RTSS). IEEE, 279--289 . Jingyan Jiang, Ziyue Luo, Chenghao Hu, Zhaoliang He, Zhi Wang, Shutao Xia, and Chuan Wu. 2021. Joint Model and Data Adaptation for Cloud Inference Serving. In 2021 IEEE Real-Time Systems Symposium (RTSS). IEEE, 279--289.
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