Distributed RDF Engine with Adaptive Query
Optimization & Minimal Communication
In this work, we promote a new classification of paradigms by which RDF systems can be designed. In particular, we suggest that RDF systems can be built in four different ways as portrayed in Figure 1.
Our paper “DREAM: Distributed RDF Engine with Adaptive Query Planner and Minimal
Communication" was accepted for publication in the proceedings
of the 41th International Conference on Vary Large Databases
(VLDB 2015), Hawaii, September, 2015.
We released the code of our DREAM System as an open source software.
Please check the Downloads page.
We submitted a demo paper about DREAM to WWW'16.
DREAM adopts a master-slave architecture.Each slave machine can, in principle, encompass any centralized RDF store.
DREAM employs the Quadrant-IV paradigm. As such, it stores an RDF dataset unsliced at each cluster machine and adopts a graph-based, rule-oriented query planner.