DC Field | Value | Language |
---|---|---|
dc.contributor.author | 안후영 | - |
dc.contributor.author | 김수형 | - |
dc.contributor.author | 이경하 | - |
dc.contributor.author | 이윤준 | - |
dc.date.accessioned | 2013-03-29T11:13:10Z | - |
dc.date.available | 2013-03-29T11:13:10Z | - |
dc.date.created | 2012-07-06 | - |
dc.date.issued | 2011-08-25 | - |
dc.identifier.citation | The Third International Conference on Emerging Databases (EDB 2011) , v.3, pp.98 - 108 | - |
dc.identifier.uri | http://hdl.handle.net/10203/170327 | - |
dc.description.abstract | To manage exponentially increasing large-scale data, the use of scalable distributed file systems is being considered as a major solution for storing large scale data. The Google file system and Hadoop distributed file system are typical examples of the distributed file systems that manage a massive volume of data. They provide high fault-tolerance and availability by keeping multiple replicas for each file. However, the replication scheme burdens lots of storage overhead. We address this space overhead problem in this paper. We suggest a practical solution for reducing the space overhead by combining distributed RAID techniques with replication-based DFS. Distributed RAID provides availability based on parities which are generated by erasure coding such as Reed-Solomon coding. This scheme requires less space overhead than replication. Our solution is to reduce the storage overhead by substituting the replicas with parities for a certain group of data blocks. We also perform a quantitative analysis for distributed systems with RAID parity. Finally, we discuss issues related to decreasing space overhead and increasing high availability of the distributed file systems. | - |
dc.language | English | - |
dc.publisher | KIISE | - |
dc.title | A Quantitative Analysis of Storage Efficient Management for Distributed File System | - |
dc.type | Conference | - |
dc.type.rims | CONF | - |
dc.citation.volume | 3 | - |
dc.citation.beginningpage | 98 | - |
dc.citation.endingpage | 108 | - |
dc.citation.publicationname | The Third International Conference on Emerging Databases (EDB 2011) | - |
dc.identifier.conferencecountry | KO | - |
dc.identifier.conferencelocation | Songdo | - |
dc.contributor.localauthor | 이윤준 | - |
dc.contributor.nonIdAuthor | 안후영 | - |
dc.contributor.nonIdAuthor | 김수형 | - |
dc.contributor.nonIdAuthor | 이경하 | - |
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