文章基本信息

标题：Analysis and Experimental Study of HDFS Performance
本地全文：下载
作者：Yordan Kalmukov ; Milko Marinov ; Tsvetelina Mladenova 等
期刊名称：TEM Journal
印刷版ISSN：2217-8309
电子版ISSN：2217-8333
出版年度：2021
卷号：10
期号：2
页码：806-814
DOI：10.18421/TEM102-38
语种：English
出版社：UIKTEN
摘要：In the age of big data, the amount of data that people generate and use on a daily basis has far exceeded the storage and processing capabilities of a single computer system. That motivates the use of distributed big data storage and processing system such as Hadoop. It provides a reliable, horizontallyscalable, fault-tolerant and efficient service, based on the Hadoop Distributed File System (HDFS) and MapReduce. The purpose of this research is to experimentally determine whether (and to what extent) the network communication speed, the file replication factor, the files’ sizes and their number, and the location of the HDFS client influence the performance of the HDFS read/write operations.