Practice of Streaming Processing of Dynamic Graphs: Concepts, Models, and Systems

Understand

Graph processing has become an important part of various areas of computing, including machine learning, medical applications, social network analysis, computational sciences, and others.

• A growing amount of the associated graph processing workloads are dynamic, with millions of edges added or removed per second.
• Graph streaming frameworks are specifically crafted to enable the processing of such highly dynamic workloads.
• Recent years have seen the development of many such frameworks.