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Adaptive joint configuration optimization for collaborative inference in edge-cloud systems
Yang, Zheming1,4; Ji, Wen1,3; Wang, Zhi2,3
2024-04-01
发表期刊SCIENCE CHINA-INFORMATION SCIENCES
ISSN1674-733X
卷号67期号:4页码:2
摘要ConclusionIn this study, we propose an adaptive edge-cloud collaborative inference framework that can adaptively configure data and model versions according to task requirements, and decide to transfer them to the cloud server or edge server for inference. Considering the complexity of the joint optimization problem, we decompose the original problem into two low-complexity subproblems. We then propose an adaptive two-stage robust optimization algorithm that can optimize the cost of inference tasks under the accuracy constraint. In the future, we plan to study adaptively edge-cloud collaboration strategies based on feature analysis and content preference awareness.
DOI10.1007/s11432-023-3957-4
收录类别SCI
语种英语
资助项目National Key R&D Program of China[2023YFB4502805] ; National Natural Science Foundation of China[62072440] ; Beijing Natural Science Foundation[L221004]
WOS研究方向Computer Science ; Engineering
WOS类目Computer Science, Information Systems ; Engineering, Electrical & Electronic
WOS记录号WOS:001197226200004
出版者SCIENCE PRESS
引用统计
文献类型期刊论文
条目标识符http://119.78.100.204/handle/2XEOYT63/38721
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Ji, Wen
作者单位1.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China
2.Tsinghua Univ, Tsinghua Shenzhen Int Grad Sch, Shenzhen 518057, Peoples R China
3.Peng Cheng Lab, Shenzhen 518055, Peoples R China
4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
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Yang, Zheming,Ji, Wen,Wang, Zhi. Adaptive joint configuration optimization for collaborative inference in edge-cloud systems[J]. SCIENCE CHINA-INFORMATION SCIENCES,2024,67(4):2.
APA Yang, Zheming,Ji, Wen,&Wang, Zhi.(2024).Adaptive joint configuration optimization for collaborative inference in edge-cloud systems.SCIENCE CHINA-INFORMATION SCIENCES,67(4),2.
MLA Yang, Zheming,et al."Adaptive joint configuration optimization for collaborative inference in edge-cloud systems".SCIENCE CHINA-INFORMATION SCIENCES 67.4(2024):2.
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