Abstract | ||
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An on line social network usually requires many servers to store its user data so that a large number of users can be served. The data should also be replicated across the servers to provide a high degree of availability in case failures occur. In this paper we discuss the importance of social locality in the replication procedure. To substantiate this importance, we propose and evaluate a replication method that can significantly improve the system efficiency by leveraging the social relationships of the data. |
Year | DOI | Venue |
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2011 | 10.1109/ICDCSW.2011.14 | ICDCS Workshops |
Keywords | Field | DocType |
social locality preservation,high degree,line social network,social networks,data replication,preserving social locality,storage management,social relationship,system efficiency,large number,replication method,replication,case failure,social locality,data storage,online social networks,replication procedure,social networking (online),user data,replicated databases,distributed storage system,barium,servers,histograms,distributed database,social network,distributed databases | Data science,Social relationship,Locality,Replication (computing),Social network,Computer science,Server,Storage management,Distributed database,Distributed computing | Conference |
ISSN | ISBN | Citations |
1545-0678 E-ISBN : 978-0-7695-4386-4 | 978-0-7695-4386-4 | 5 |
PageRank | References | Authors |
0.56 | 11 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Khanh Nguyen | 1 | 128 | 10.39 |
Cuong Pham | 2 | 284 | 20.72 |
Duc A. Tran | 3 | 396 | 32.06 |
Feng Zhang | 4 | 5 | 0.56 |