The introduction of Google’s Pregel for large-scale graph data processing has led to the recent development of Pregel-like systems such as Apache Giraph and GraphLab. Dr. Daudjee will present a performance study of these systems that compares them experimentally by considering graph and algorithm agnostic optimizations on up to 128 Amazon EC2 machines, identifying areas of improvement for all systems.
