Gaining Command on Geo-Distributed Graph Analytics

A number of existing and emerging application scenarios generate graph-structured data in a geo-distributed fashion. Although there is a lot of interest in distributed graph processing systems, none of them support geo-distributed graph processing. Geo-distributed analytics, on the other hand, has not focused on iterative workloads such as distributed graph processing. In this paper, we look at the problem of e cient geodistributed graph analytics. We find that optimizing the iterative processing style of graph-parallel systems is the key to achieving this goal rather than extending existing geo-distributed techniques to graph processing. Based on this, we discuss our proposal on building M , the first system to our knowledge that focuses on geodistributed graph processing. Our preliminary evaluation of M shows encouraging results.