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In-Memory Graph Databases for Web-Scale Data
Publication image

A software stack relies primarily on graph-based methods to implement scalable resource description framework databases on top of commodity clusters, providing an inexpensive way to extract meaning from volumes of heterogeneous data.

Authors

Vito Giovanni Castellana (Pacific Northwest National Lab)
Alessandro Morari (Pacific Northwest National Lab)
Jesse Weaver (Pacific Northwest National Lab)
Antonino Time (Pacific Northwest National Lab)
David Haglin (Pacific Northwest National Lab)
Oreste Villa
John Feo (Context Relevant)

Publication Date

Published in

IEEE Computer

Research Area

Computer Architecture
High Performance Computing

External Links

Published manuscript (IEEE Digital Library)

Copyright

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