Paper
27 September 2024 A dynamic data collection method for microservice invocation link data based on high-performance agent technology
Na Long, Xun Li, Jie Tang, Ye Zhong, Lijun Pan
Author Affiliations +
Proceedings Volume 13275, Sixth International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2024); 132751J (2024) https://doi.org/10.1117/12.3037834
Event: 6th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2024), 2024, Wuhan, China
Abstract
For the monolithic architecture in the power information system, the amount of information processed is more limited, which leads to the inability to comprehensively monitor the situation of grid link information. Therefore, this paper proposes a dynamic collection method of microservice invocation link data based on high-performance agent technology. First, the agent device is deployed on the key nodes of the microservice invocation links that need to be monitored. Then, the agent network is configured to establish communication between the devices. At each key node, the agent device captures information about the microservice invocation, and at a central node of the network (e.g., a gateway), all the packets are aggregated and transmitted to a server. On the server, the collected data can be processed and analyzed. Based on the analyzed results, the strategy of microservice invocation can be dynamically adjusted. The experimental results show that the method can accurately monitor the number of abnormal packets exactly matching the number of abnormal packets injected manually, with an accuracy rate of 99.8%, which realizes the real-time monitoring of the virtual network in cloud environment On an end-to-end path.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Na Long, Xun Li, Jie Tang, Ye Zhong, and Lijun Pan "A dynamic data collection method for microservice invocation link data based on high-performance agent technology", Proc. SPIE 13275, Sixth International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2024), 132751J (27 September 2024); https://doi.org/10.1117/12.3037834
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KEYWORDS
Data modeling

Data acquisition

Data transmission

Data conversion

Detection and tracking algorithms

Data processing

Error control coding

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