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Erschienen in:
2014 | OriginalPaper | Buchkapitel
GoFFish: A Sub-graph Centric Framework for Large-Scale Graph Analytics
verfasst von : Yogesh Simmhan, Alok Kumbhare, Charith Wickramaarachchi, Soonil Nagarkar, Santosh Ravi, Cauligi Raghavendra, Viktor Prasanna
Erschienen in: Euro-Par 2014 Parallel Processing
Verlag: Springer International Publishing
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Vertex centric models for large scale graph processing are gaining traction due to their simple distributed programming abstraction. However, pure vertex centric algorithms under-perform due to large communication overheads and slow iterative convergence. We introduce
GoFFish
a scalable sub-graph centric framework co-designed with a distributed persistent graph storage for large scale graph analytics on commodity clusters, offering the added natural flexibility of shared memory sub-graph computation. We map Connected Components, SSSP and PageRank algorithms to this model and empirically analyze them for several real world graphs, demonstrating
orders of magnitude improvements
, in some cases, compared to Apache Giraph’s vertex centric framework.