A Study of Brand Power Simulation by Time Series Based on Flink and Kafka Framework

Fu, Lianxue; Jing, Yang; Zhang, Fan

doi:10.1109/icdsca56264.2022.9987758

Cited by 1 publication

(1 citation statement)

References 2 publications

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“…Accordingly, the real-time computing component needs to be able to carry the data flood to ensure stability, and at the same time have a high computational speed to meet the real-time performance. For these two requirements, the core of the framework is a combination of Kafka + Flink [12] . Kafka is a message queue middleware with high throughput and good timeliness.…”

Section: Real-time Computingmentioning

confidence: 99%

Design and implementation of real-time security monitoring platform for EAST based on microservice architecture

Chen

Wang

Xie

et al. 2023

Sixth International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2023)

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EAST's security monitoring platform is based on the MVC monolithic application architecture, providing experimentalists with the ability to visualise the device operating parameters. With the accumulation of large amount of data and the increase of analysis requirements, the scale of the system business is expanding. The problems of strong coupling, overlap and limited scalability of the various business components have gradually emerged. This paper aims to refactor the security monitoring platform based on microservice architecture. Firstly, we build a microservice framework, divide subsystems according to user requirements and build submodules according to business links. After that, the system hierarchy is optimized: the data source proxy is encapsulated, and the data platform is built as a layer. Finally, the system was implemented and tested with Kafka and Flink as the core real-time computing modules, whose output latency is within seconds. In fact, the refactored system is scalable and stable to support the experimental monitoring of EAST.

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Section: Real-time Computingmentioning

confidence: 99%