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一个流处理抽象框架
Ilaria Bartolini1, Marco Patella1
1Department of Computer Science and Engineering (DISI), Alma Mater Studiorum, University of Bologna, Bologna, Italy.
Frontiers in big data
|November 13, 2023
概括
像Apache Flink这样的大数据流媒体平台强大而复杂. 新的SPAF框架简化了用于大数据分析的实时流处理应用程序开发.
科学领域:
- 计算机科学 计算机科学
- 数据工程数据工程
背景情况:
- 大数据流媒体平台 (例如,Apache Flink,Samza) 能够对大型多媒体流进行高效的实时分析.
- 现有的平台提供原始功能,这给分析师有效利用带来了挑战.
研究的目的:
- 描述 RAM3S 演变为 SPAF 的过程,一个抽象框架.
- 为开发流处理应用提供简单而强大的API.
主要方法:
- 在SPAF抽象框架中,RAM3S软件基础架构的演变.
- 为流处理应用程序开发开发简化API的开发.
主要成果:
- 在大数据流处理平台上,SPAF提供了一个抽象层.
- 程序员可以很容易地使用SPAF在大量流中实现实时复杂的分析.
- 该框架有效地管理大数据流的数量和速度.
结论:
- SPAF简化了实时大数据流处理应用程序的开发.
- 该框架使分析师能够通过简化复杂的分析来将数据转化为价值.
- SPAF提高了原始大数据流媒体平台功能的可用性.
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