CMSDPP: Cloud-native Multi-source Streaming Data Processing Platform

Haoran Du, Yuxuan Wu, Hong-sheng Gan
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引用次数: 0

Abstract

As the digital transition process of enterprises continues to advance, streaming data processing platforms are becoming the most important part of the enterprise data infrastructure. Meanwhile, cloud-native, an emerging service pattern of cloud computing, gains more and more attention for its ability to reduce the cost of application deployment and maintenance and enhance the effectiveness. In this paper, we design and implement a Cloud-native Multi-source Streaming Data Processing Platform (CMSDPP). It provides various capabilities, such as data access, data aggregation, data analysis and other data processing capabilities, for streaming data processing platform on cloud environment. Besides, we provide a unified registry of data processing components to realize the management of various streaming data processing capabilities. Relying on the extensibility and flexibility of cloud, convenient deployment and management of data application are provided in CMSDPP.
CMSDPP:云原生多源流数据处理平台
随着企业数字化转型进程的不断推进,流数据处理平台正在成为企业数据基础设施中最重要的组成部分。同时,云原生(cloud-native)作为一种新兴的云计算服务模式,因其能够降低应用的部署和维护成本,提高应用的有效性而受到越来越多的关注。本文设计并实现了一个云原生多源流数据处理平台(CMSDPP)。它为云环境下的流数据处理平台提供了数据访问、数据聚合、数据分析等多种数据处理能力。此外,我们还提供了一个统一的数据处理组件注册表,以实现对各种流数据处理能力的管理。依托云的可扩展性和灵活性,CMSDPP提供了方便的数据应用部署和管理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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