Apache Hadoop Architecture, Applications, and Hadoop Distributed File System

Pratit Raj Giri, Gajendra Sharma
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引用次数: 1

Abstract

The data and internet are highly growing which causes problems in management of the big-data. For these kinds of problems, there are many software frameworks used to increase the performance of the distributed system. This software is used for the availability of large data storage. One of the most beneficial software frameworks used to utilize data in distributed systems is Hadoop. This paper introduces Apache Hadoop architecture, components of Hadoop, their significance in managing vast volumes of data in a distributed system. Hadoop Distributed File System enables the storage of enormous chunks of data over a distributed network. Hadoop Framework maintains fsImage and edits files, which supports the availability and integrity of data. This paper includes cases of Hadoop implementation, such as monitoring weather, processing bioinformatics.
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Apache Hadoop架构、应用和Hadoop分布式文件系统
数据和互联网的高速发展给大数据的管理带来了难题。对于这类问题,有许多软件框架用于提高分布式系统的性能。该软件用于大数据存储的可用性。用于在分布式系统中利用数据的最有益的软件框架之一是Hadoop。本文介绍了Apache Hadoop的体系结构、Hadoop的组成以及它们在分布式系统中管理海量数据的意义。Hadoop分布式文件系统支持在分布式网络上存储大量数据。Hadoop框架维护fsImage和编辑文件,支持数据的可用性和完整性。本文介绍了Hadoop的实现案例,如天气监测、生物信息学处理等。
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