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The Hadoop Distributed File System

978-1-4244-7153-9/10/$ 2010 IEEE The Hadoop Distributed File System Konstantin Shvachko, Hairong Kuang, Sanjay Radia, Robert Chansler Yahoo! Sunnyvale, California USA {Shv, Hairong, SRadia, Abstract The Hadoop Distributed File System (HDFS) is designed to store very large data sets reliably, and to stream those data sets at high bandwidth to user applications. In a large cluster, thousands of servers both host directly attached storage and execute user application tasks. By distributing storage and computation across many servers, the resource can grow with demand while remaining economical at every size. We describe the architecture of HDFS and report on experience using HDFS to manage 25 petabytes of enterprise data at Yahoo!. Keywords: Hadoop , HDFS, Distributed file System I. INTRODUCTION AND RELATED WORK Hadoop [1][16][19] provides a Distributed file System and a framework for the analysis and transformation of very large data sets using the MapReduce [3] paradigm.}

The Hadoop Distributed File System Konstantin Shvachko, Hairong Kuang, Sanjay Radia, Robert Chansler Yahoo! Sunnyvale, California USA ... Lustre [7] has an implementation of clustered namespace on its roadmap for Lustre 2.2 release. The intent is to stripe a direc-tory over multiple metadata servers (MDS), each of which con- ...

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