HOOVER: Distributed, Flexible, and Scalable Streaming Graph Processing on OpenSHMEM

Many problems can benefit from being phrased as a graph processing or graph analytics problem: infectious disease modeling, insider threat detection, fraud prevention, social network analyis, and more. These problems all share a common property: the relationships between entitites in these systems are crucial to understanding the overall behavior of the systems themselves. However, relations are rarely if ever static. As our ability to collect information on those relations improve (e.g. on financial transactions in fraud prevention), the value added by large-scale, high-performance, dynamic/streaming (rather than static) graph analysis becomes significant.