Distributed file system as a basis of data-intensive computing

A. Adamov
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引用次数: 7

Abstract

The extremely fast grow of Internet Services, Web and Mobile Applications and advance of the related Pervasive, Ubiquity and Cloud Computing concepts have stumulated production of tremendous amounts of data available online. Event with the power of today's modern computers it still big challenge for business and government organizations to manage, search, analyze, and visualize this vast amount of data as information. Data-Intensive computing which is intended to address this problems become quite intense during the last few years yielding strong results. Data intensive computing framework is a complex system which includes hardware, software, communications, and Distributed File System (DFS) architecture. This paper is giving comprehensive information on how distributed file system supports this approach of processing extra-large volumes of data. It is definitely expected that this work will contribute to future research on similar and related topics as spin off from this study.
分布式文件系统作为数据密集型计算的基础
互联网服务、网络和移动应用的飞速发展,以及相关的普适(Pervasive)、无处不在(Ubiquity)和云计算(Cloud Computing)概念的进步,催生了海量在线数据的产生。尽管拥有当今现代计算机的强大功能,企业和政府组织仍然面临着管理、搜索、分析和可视化这些海量数据作为信息的巨大挑战。旨在解决这些问题的数据密集型计算在过去几年中变得相当激烈,并产生了强有力的结果。数据密集型计算框架是一个复杂的系统,包括硬件、软件、通信和分布式文件系统(DFS)架构。本文提供了关于分布式文件系统如何支持这种处理超大容量数据的方法的全面信息。可以肯定的是,这项工作将有助于未来类似和相关主题的研究,作为本研究的副产品。
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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