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MSSG: A Framework for Massive-Scale Semantic Graphs

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MSSG: A Framework for Massive-Scale Semantic Graphs
This paper presents a middleware framework for storing, accessing and analyzing massive-scale semantic graphs. The framework, MSSG, targets scale-free semantic graphs with O(1012 ) (trillion) vertices and edges. Here, we present the overall architectural design of the framework, as well as a prototype implementation for cluster architectures. The sheer size of these massive-scale semantic graphs prohibits storing the entire graph in memory even on medium- to large-scale parallel architectures. We therefore propose a new graph database, grDB, for the efficient storage and retrieval of large scale-free semantic graphs on secondary storage. This new database supports the efficient and scalable execution of parallel out-of-core graph algorithms which are essential for analyzing semantic graphs of massive size. We have also developed a parallel out-of-core breadth-first search algorithm for performance study. To the best of our knowledge, it is the first of such algorithms reported in ...
Timothy D. R. Hartley, Ümit V. Çataly&
Added 10 Jun 2010
Updated 10 Jun 2010
Type Conference
Year 2006
Where CLUSTER
Authors Timothy D. R. Hartley, Ümit V. Çatalyürek, Füsun Özgüner, Andy Yoo, Scott Kohn, Keith W. Henderson
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