On Removing Algorithmic Priority Inversion from Mission-critical Machine Inference Pipelines

Author:

Liu Shengzhong,Yao Shuochao,Fu Xinzhe,Tabish Rohan,Yu Simon,Bansal Ayoosh,Yun Heechul,Sha Lui,Abdelzaher Tarek

Funder

Army Research Laboratory

Publisher

IEEE

Cited by 30 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Algorithms for Canvas-Based Attention Scheduling with Resizing;2024 IEEE 30th Real-Time and Embedded Technology and Applications Symposium (RTAS);2024-05-13

2. Taming Algorithmic Priority Inversion in Mission-Critical Perception Pipelines;Communications of the ACM;2024-01-25

3. Demonstrating Canvas-based Processing of Multiple Camera Streams at the Edge;2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS);2024-01-03

4. Work-in-Progress: Algorithms for Canvas-Based Attention Scheduling with Resizing;2023 IEEE Real-Time Systems Symposium (RTSS);2023-12-05

5. Elastic DNN Inference with Unpredictable Exit in Edge Computing;2023 IEEE 43rd International Conference on Distributed Computing Systems (ICDCS);2023-07

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