Research on real-time computing method of computer node identification in the field of scalable and verifiable distributed AI collaborative computing

Tong Zhang; Ming yan Song; Yingchao Ren; Yang Bai; Hao Tang; Fengmin Wang; Jian Tan

doi:10.1117/12.2652180

10 November 2022 Research on real-time computing method of computer node identification in the field of scalable and verifiable distributed AI collaborative computing

Tong Zhang, Ming yan Song, Yingchao Ren, Yang Bai, Hao Tang, Fengmin Wang, Jian Tan

Author Affiliations +

Proceedings Volume 12331, International Conference on Mechanisms and Robotics (ICMAR 2022); 123314U (2022) https://doi.org/10.1117/12.2652180
Event: International Conference on Mechanisms and Robotics (ICMAR 2022), 2022, Zhuhai, China

Abstract

The invention relates to a node authentication method and system of a distributed AI collaborative computing system. The method comprises: a central server sends authentication instructions to each distributed node; each distributed node completes the corresponding real-time computing capability verification task according to the authentication instruction and sends a response message to the central server; the response message includes task completion time and node equipment information; the real-time computing capability verification task includes a real-time computing capability verification task and a real-time storage capability verification task; the central server receives the response message. If the time of receiving the response message exceeds the expected time, or the difference between the task completion time and the task completion time of the real node of the same device type completing the real-time computing capability verification task is greater than the preset threshold, the node is identified as a suspicious node; the central server sends authentication instructions to the suspicious node for many times and receives the response message returned by the suspicious node. If the time of receiving the response message exceeds the expected time or the difference between the task completion time and the task completion time of the real node of the same device type completing the real-time computing capability verification task is greater than the preset threshold, Then it is judged that the node is forged.

Citation Download Citation

Tong Zhang, Ming yan Song, Yingchao Ren, Yang Bai, Hao Tang, Fengmin Wang, and Jian Tan "Research on real-time computing method of computer node identification in the field of scalable and verifiable distributed AI collaborative computing", Proc. SPIE 12331, International Conference on Mechanisms and Robotics (ICMAR 2022), 123314U (10 November 2022); https://doi.org/10.1117/12.2652180

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KEYWORDS

Real-time computing

Artificial intelligence

Computing systems

Data storage

Evolutionary algorithms

Telecommunications

Control systems

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