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Efficient Metadata Management for Cloud Computing applications
Verma, Abhishek; Venkataraman, Shivaram
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https://hdl.handle.net/2142/14820
Description
- Title
- Efficient Metadata Management for Cloud Computing applications
- Author(s)
- Verma, Abhishek
- Venkataraman, Shivaram
- Contributor(s)
- Caesar, Matthew
- Campbell, Roy H.
- Issue Date
- 2010-01-19
- Keyword(s)
- Distributed file systems
- Cloud computing
- Date of Ingest
- 2010-01-19T21:14:44Z
- 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.
- Type of Resource
- text
- Genre of Resource
- Technical Report
- Language
- en
- Permalink
- http://hdl.handle.net/2142/14820
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