通过单机集群安装了解Hadoop框架

2019 International Conference on Recent Advances in Energy-efficient Computing and Communication (ICRAECC) Pub Date : 2019-03-01 DOI:10.1109/ICRAECC43874.2019.8995060

V. G. Anisha Gnana Vincy, T. Karthija, J. Sunil

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引用次数: 1

摘要

Hadoop是一种基于java的开源编程模型，它通过提供海量存储和多处理数据而成为最近分布式计算的支柱。通过使用商品硬件，Hadoop成为一种简单且易于实现的编程模型。Hadoop开源成为了大数据大规模并行处理的基础，包括科学分析、电子商务数据和销售计划，以及处理来自各种传感器的海量传感器。由于Hadoop在大数据的分布式并行处理中起着至关重要的作用，因此了解Hadoop框架背后的技术细节是很有必要的。本文重点介绍了在单个计算机上成功实现Hadoop单节点集群的必要步骤，为Hadoop新用户提供了基础。

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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Understanding Hadoop Framework Through Single-Node Cluster Installation

Hadoop is a Java-based open source programming model that becomes a pillar in recent distributed computing by providing massive storage and multiprocessing of data. Hadoop becomes a simple and easy to implement programming model through the usage of commodity hardware. Hadoop open-source became a foundation for massive parallel processing of big data which includes scientific analytics, e-commerce data and sales planning, and processing enormous volumes of sensor from various sensors. Since Hadoop plays vital role in distributed parallel processing of big data, it is good to know the technical details behind the hadoop framework. This paper focus on detailing the necessary steps for the successful implementation of a Hadoop single-node cluster in a individual computer which provide a foundation for the new hadoop users.

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2019 International Conference on Recent Advances in Energy-efficient Computing and Communication (ICRAECC)

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