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Description
Title: | Efficient Metadata Management for Cloud Computing applications |
Author(s): | Verma, Abhishek; Venkataraman, Shivaram |
Contributor(s): | Caesar, Matthew; Campbell, Roy H. |
Subject(s): | Distributed file systems
Cloud computing |
Abstract: | Cloud computing applications require a scalable, elastic and fault tolerant storage system. In this paper, we describe how metadata management can be improved for a file system built for large scale data-intensive applications. We imple- ment Ring File System (RFS), that uses a single hop Dis- tributed Hash Table, found in peer-to-peer systems, to man- age its metadata and a traditional client server model for managing the actual data. Our solution does not have a single point of failure, since the metadata is replicated and the num- ber of files that can be stored and the throughput of meta- data operations scales linearly with the number of servers. We compare against two open source implementations of Google File System (GFS): HDFS and KFS and show that our prototype performs better in terms of fault tolerance, scalability and throughput. |
Issue Date: | 2010-01-19 |
Genre: | Technical Report |
Type: | Text |
Language: | English |
URI: | http://hdl.handle.net/2142/14820 |
Publication Status: | published or submitted for publication |
Peer Reviewed: | not peer reviewed |
Date Available in IDEALS: | 2010-01-19 |