Titlebook: Computer Networks and IoT; First International Hai Jin,Yi Pan,Jianfeng Lu Conference proceedings 2024 The Editor(s) (if applicable) and Th

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https://doi.org/10.1007/0-387-27605-Xyment of DNN inference tasks with minimal latency and energy consumption is formulated. Finally, graph-cut-based algorithms for DNN inference task partitioning and computation resource allocation are designed. Experimental results demonstrate that the proposed method optimally utilizes the limited a

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https://doi.org/10.1007/0-387-27605-Xom-to-fail task offloading decisions. The experimental results on the simulator show that the proposed dual-mode switching task offloading method is able to achieve a low task dropping rate across the entire execution process. The average execution latency of the tasks gradually decreases and conver

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I. Schieferdecker,B. Stepien,A. Rennoch data reconstruction, which provides a data analysis and statistical provides a feasible solution for data analysis and statistics..In order to evaluate the performance and effectiveness of the mechanism, this paper conducts extensive experiments and comparisons on a physical activity monitoring dat

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