Title :
The Hadoop Distributed File System
Author :
Shvachko, Konstantin ; Kuang, Hairong ; Radia, Sanjay ; Chansler, Robert
Author_Institution :
Yahoo!, Sunnyvale, CA, USA
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 :
Internet; distributed databases; network operating systems; Hadoop distributed file system; Yahoo!; data storage; data stream; enterprise data; Bandwidth; Clustering algorithms; Computer architecture; Concurrent computing; Distributed computing; Facebook; File servers; File systems; Protection; Protocols; HDFS; Hadoop; distributed file system;
Conference_Titel :
Mass Storage Systems and Technologies (MSST), 2010 IEEE 26th Symposium on
Conference_Location :
Incline Village, NV
Print_ISBN :
978-1-4244-7152-2
Electronic_ISBN :
978-1-4244-7153-9
DOI :
10.1109/MSST.2010.5496972
