Paper
16 June 2023 An adaptive dynamic service flow control strategy based on trTCM algorithm
Yongge Shi, Ming Yang, Yongchong Wu
Author Affiliations +
Proceedings Volume 12702, International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2023); 127022A (2023) https://doi.org/10.1117/12.2680420
Event: International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2023), 2023, Changsha, China
Abstract
When the network has burst high concurrent access traffic, the traffic allocated to each node in the cluster will exceed the maximum processing capacity of the machine, which needs to be solved by applying flow control technology. For this reason, this paper studies the flow control technology under the microservice architecture, and proposes an adaptive dynamic service flow control strategy based on the srTCM algorithm, which can dynamically regulate and differentiate the tasks entering the service node according to the request type and the running state of the machine. Experiments show that the research results of this paper are better than the common current limiting schemes.
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Yongge Shi, Ming Yang, and Yongchong Wu "An adaptive dynamic service flow control strategy based on trTCM algorithm", Proc. SPIE 12702, International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2023), 127022A (16 June 2023); https://doi.org/10.1117/12.2680420
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KEYWORDS
Control systems

Tunable filters

Process control

Windows

Adaptive control

Mathematical optimization

Performance modeling

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