Title :
In-Memory Graph Databases for Web-Scale Data
Author :
Castellana, Vito Giovanni ; Morari, Alessandro ; Weaver, Jesse ; Tumeo, Antonino ; Haglin, David ; Villa, Oreste ; Feo, John
Abstract :
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.
Keywords :
Internet; database management systems; graph theory; pattern clustering; Web-scale data; commodity clusters; graph-based methods; heterogeneous data; inmemory graph databases; scalable resource description framework databases; software stack; Algorithm design and analysis; Clustering algorithms; Data structures; Pattern matching; Resource description framework; Resource management; Software development; RDF databases; SPARQL; big data; graph databases; high-performance computing; multithreading;
