Abstract:Aiming at the problems of poor real-time performance, long processing time, and slow resource request of the existing big
data processing platform, this paper uses Storm real-time computing technology, combined with Flume, Kafka, Zookeeper and other
big data processing components to design a real-time data processing platform. It uses tornado+WSGI+Apache technology to build a
Web server, and uses Echarts technology to visually analyze the processing results. This article uses the website access log as the da-
ta source to verify the platform. Through the test, the platform can complete the real-time calculation of the website's click-through
rate and the number of visitors. It has the characteristics of stability, reliability and simple operation.
杨宇 徐万明. 基于Storm技术的实时数据处理平台研究与实现[J]. 电脑与电信, .
YANG Yu XU Wang-ming . Research and Implementation of Real-time Data Processing Platform Based on Storm Technology. Computer & Telecommunication, 2021, 1(1): 51-.