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Large scale graphs containing O(billion) of vertices
are becoming increasingly common in various applica-
tions. With graphs of such proportion, efficient query-
ing infrastructure becomes crucial. In this paper, we
propose WOOster a hosted querying infrastructure de-
signed specifically for the large graphs. We make two
key contributions: a) Design of the WOOster frame-
work. b)Scalable map-reduce algorithms for two pop-
ular graph queries: sub-graph match and reachability.
Our experiments show that the proposed map-reduce
algorithms scale well with large synthetic datasets.
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