Scenario-based AI Benchmark Evaluation of Distributed Cloud/Edge Computing Systems-Reference-Cited by-同舟云学术

Scenario-based AI Benchmark Evaluation of Distributed Cloud/Edge Computing Systems

Author:

Hao Tianshu¹,Hwang Kai²,Zhan Jianfeng³,Li Yuejin⁴,Cao Yong⁵

Affiliation:

1. Research Center for Advanced Computer Systems, Institute of Computing Technology Chinese Academy of Sciences, 53035 Beijing, Beijing, China

2. School of Data Science, Chinese University of Hong Kong, 26451 Shenzhen, Guangdong, China, 518172

3. Institute of Computing Technology, Chinese Academy of Sciences, Beijing, Beijing, China

4. School of Science and Engineering, The Chinese University of Hong Kong - Shenzhen, 407605 Shenzhen, Guangdong, China

5. School of Computer of Science and Technology, Huazhong University of Science and Technology, 12443 Wuhan, Hubei, China

Funder

Shenzhen Institute of Artificial Intelligence and Robotics for Society AIRS

Institute of Computing Technology Chinese Academy of Sciences Beijing China.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Hardware and Architecture,Theoretical Computer Science,Software

Link

Reference36 articles.

1. Edge AIBench: Towards comprehensive end-to-end edge computing benchmarking;hao;Proc Int Symp Benchmarking Measuring Optim,2018

3. Benchmarking, performance metrics, and modeling of cloud-edge-end AI computing systems;hao,2022

5. Multitask learning and benchmarking with clinical time series data;harutyunyan;Data Science Journal,2019

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