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Performance Comparison between S3, HDFS and RDS storage technologies for real-time big-data applications

机译:S3,HDFS和RDS存储技术的实时大数据应用的性能比较

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Low latency and fast delivery became crucial challenges in real-time applications of Big Data and remained a hot research topic. This research sheds light on the performance differences between three types of storage technologies, which are: the storage rational database system (MySQL), object storage (S3), which is powered by Amazon Cloud Services, and the Hadoop distributed file system (HDFS). Four system architectures with three different storage technologies were tested on AWS cloud environment with many complex queries to determine the most appropriate technology for real-time applications (i.e., web application, air traffic control systems, networked multimedia systems, command control systems) in terms of speed (computation time), network overload, and cost (price).
机译:低延迟和快速交付成为大数据实时应用中的至关重要的挑战,并仍然是一个热门的研究主题。 这项研究揭示了三种类型的存储技术之间的性能差异,即:存储Rational Database系统(MySQL),对象存储(S3),由Amazon Cloud Services和Hadoop分布式文件系统(HDFS)提供支持 。 在AWS云环境中测试了具有三种不同存储技术的四种系统架构,许多复杂的查询是以术语确定最合适的实时应用程序(即Web应用程序,空中交通管制系统,网络多媒体系统,指挥控制系统)的最合适的技术 速度(计算时间),网络过载和成本(价格)。

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