ESMO: Joint Frame Scheduling and Model Caching for Edge Video Analytics-Reference-Cited by-同舟云学术

ESMO: Joint Frame Scheduling and Model Caching for Edge Video Analytics

Published:2023-08 Issue:8 Volume:34 Page:2295-2310
ISSN:1045-9219
Container-title:IEEE Transactions on Parallel and Distributed Systems
language:
Short-container-title:IEEE Trans. Parallel Distrib. Syst.

Author:

Li Ting¹^ORCID,Sun Jiyan²,Liu Yinlong¹^ORCID,Zhang Xu³^ORCID,Zhu Dali¹,Guo Zhaorui¹,Geng Liru²

Affiliation:

1. Institute of Information Engineering, Chinese Academy of Sciences and School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China

2. Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China

3. School of Electronic Science and Engineering, Nanjing University, China

Funder

Climbing Program of Institute of Information Engineering

Chinese Academy of Sciences

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Hardware and Architecture,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/71/10153956/10138921.pdf?arnumber=10138921

Reference56 articles.

1. SiEVE: Semantically Encoded Video Analytics on Edge and Cloud

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4. Live video analytics at scale with approximation and delay-tolerance;zhang;Proc 14th USENIX Symp Netw Syst Des Implementation,2017

5. FastVA: Deep Learning Video Analytics Through Edge Processing and NPU in Mobile

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2. Edge Video Analytics: A Survey on Applications, Systems and Enabling Techniques;IEEE Communications Surveys & Tutorials;2023