MapReduce with Components for Processing Big Graphs
Cenez Araújo Rezende, Francisco Heron de Carvalho · 2018
BigGraph applications have been mostly implemented with large-scale parallel processing frameworks based on MapReduce. However, it continues to be challenging to meet their particular requirements, even despite the emerging of alternative models, such as Pregel. This paper introduces a component-oriented design for graph processing frameworks, by using HPC Shelf, a component-based cloud computing platform for HPC services.