Browsing by Keywords "Information cascade"
Now showing items 1-2 of 2
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Cascade-aware partitioning of large graph databases
(Springer, 2019)Graph partitioning is an essential task for scalable data management and analysis. The current partitioning methods utilize the structure of the graph, and the query log if available. Some queries performed on the database ... -
Partitioning models for scaling distributed graph computations
(Bilkent University, 2019-08)The focus of this thesis is intelligent partitioning models and methods for scaling the performance of parallel graph computations on distributed-memory systems. Distributed databases utilize graph partitioning to provide ...