Taming Algorithmic Priority Inversion in Mission-Critical Perception Pipelines

Taming Algorithmic Priority Inversion in Mission-Critical Perception Pipelines

The paper discusses algorithmic priority inversion in mission-critical machine inference pipelines used in modern neural-network-based perception subsystems and describes a solution to mitigate its effect. In general, priority inversion occurs in computing systems when computations that are “less im...

وصف كامل

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Liu, Shengzhong, Yao, Shuochao, Fu, Xinzhe, Tabish, Rohan, Yu, Simon, Bansal, Ayoosh, Yun, Heechul, Sha, Liu, Abdelzaher, Tarek
مؤلفون آخرون: Massachusetts Institute of Technology. Laboratory for Information and Decision Systems
التنسيق: مقال
اللغة:English
منشور في: ACM|Communications of the ACM 2024
الوصول للمادة أونلاين:https://hdl.handle.net/1721.1/153445

الانترنت

https://hdl.handle.net/1721.1/153445

مواد مشابهة