Fast Failure Recovery in Vertex-Centric Distributed Graph Processing Systems

There is a growing need for distributed graph processing systems to have many more compute nodes processing graph-based Big Data applications, which, however, increases the chance of node failures. To address the issue, we propose a novel recovery scheme to accelerate the recovery process by parallelizing the recomputation. Once a failure occurs, all recomputations are confined to subgraphs that originally reside in the failed compute nodes....