MaiterStore: A Hot-Aware, High-Performance Key-Value Store for Graph Processing

Dong Chang, Yanfeng Zhang, Ge Yu

Abstract: Recently, many cloud-based graph computation frameworks are proposed, such as Pregel, GraphLab and Maiter. Most of them exploit the in-memory storage to obtain fast random access which is required for many graph computation. However, the exponential growth in the scale of large graphs and the limitation of the capacity of main memory pose great challenges to these systems on their scalability.