Negative feedback scheduling algorithm based on similarity and historical performance

Weiwei Miao; Zeng Zeng; Rui Zhang; Zesheng Xi

doi:10.1117/12.2653167

20 October 2022 Negative feedback scheduling algorithm based on similarity and historical performance

Weiwei Miao, Zeng Zeng, Rui Zhang, Zesheng Xi

Proceedings Volume 12350, 6th International Workshop on Advanced Algorithms and Control Engineering (IWAACE 2022); 123502J (2022) https://doi.org/10.1117/12.2653167
Event: 6th International Workshop on Advanced Algorithms and Control Engineering (IWAACE 2022), 2022, Qingdao, China

Abstract

The existing scheduling strategies do not have enough granularity in the division of execution units, and can not flexibly use the attack feedback information. Lack of security to some extent. Therefore, this paper proposes a scheduling algorithm considering the similarity between components and the historical performance of executors. Firstly, a specific component similarity quantification method is designed to improve the heterogeneous differentiation of executors. Then, the historical work performance is incorporated into the executor scheduling strategy to improve the utilization efficiency and system security of the executor. Finally, two attributes are integrated to calculate the comprehensive score. Experiments show that compared with existing algorithms, this method can better distinguish similar executors. At the same time, it dynamically adjusts the selection of executors through the attack feedback information, taking into account the system dynamics and security, and has good practicality.

Citation Download Citation

Weiwei Miao, Zeng Zeng, Rui Zhang, and Zesheng Xi "Negative feedback scheduling algorithm based on similarity and historical performance", Proc. SPIE 12350, 6th International Workshop on Advanced Algorithms and Control Engineering (IWAACE 2022), 123502J (20 October 2022); https://doi.org/10.1117/12.2653167

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KEYWORDS

Information security

Defense and security

Network security

Computer programming

Computer programming languages

Negative feedback

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