Paper Info
Title
Merging file systems and data bases to fit the grid
Abstract
Grids are widely used by CPU intensive applications requiring to access data with high level queries as well as in a file based manner. Their requirements include accessing data through metadata of different kinds, system or application ones. In addition, grids provide large storage capabilities and support cooperation between sites. However, these solutions are relevant only if they supply good performance. This paper presents Gedeon, a middleware that proposes a hybrid approach for scientific data management for grid infrastructures. This hybrid approach consists in merging distributed files systems and distributed databases functionalities offering thus semantically enriched data management and preserving easiness of use and deployment. Taking advantage of this hybrid approach, advanced cache strategies are deployed at different levels to provide efficiency. Gedeon has been implemented, tested and used in the bioinformatic field.
Year
DOI
Venue
2010
10.1007/978-3-642-15108-8_2
Globe
Keywords
Field
DocType
files system,cpu intensive application,data base,bioinformatic field,different level,advanced cache strategy,hybrid approach,scientific data management,different kind,databases functionalities offering,merging file system,semantically enriched data management,distributed file system,middleware,distributed database,data management
Middleware,Metadata,Software deployment,Computer science,Cache,Distributed database,Data management,Database,Grid,Cloud computing
Conference
Volume
ISSN
ISBN
6265
0302-9743
3-642-15107-8
Citations 
PageRank 
References 
2
0.38
12
Authors
4
Name
Order
Citations
PageRank
Yves Denneulin18313.12
Cyril Labbé211722.60
Laurent d'Orazio38115.38
Claudia Roncancio424332.92