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2008

Community-driven data grids

9 years 9 months ago
Community-driven data grids
Beyond already existing huge data volumes, e-science communities face major challenges in managing the anticipated data deluge of forthcoming projects. Community-driven data grids target at domain-specific federations and provide a distributed, collaborative data management by employing dominant data characteristics (e. g., data skew) and query patterns to optimize the overall throughput. By combining well-established techniques for data partitioning and replication with Peer-to-Peer (P2P) technologies we can address several challenging problems: data load balancing, handling of query hot spots, and the adaption to short-term burst as well as long-term load redistributions.
Tobias Scholl, Alfons Kemper
Added 28 Dec 2010
Updated 28 Dec 2010
Type Journal
Year 2008
Where PVLDB
Authors Tobias Scholl, Alfons Kemper
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