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# A BSP-Based Parallel Iterative Processing System with Multiple Partition Strategies for Big Graphs

@article{Wang2013ABP, title={A BSP-Based Parallel Iterative Processing System with Multiple Partition Strategies for Big Graphs}, author={Zhigang Wang and Yubin Bao and Yu Gu and Fangling Leng and Ge Yu and Chao Deng and Leitao Guo}, journal={2013 IEEE International Congress on Big Data}, year={2013}, pages={173-180} }

- Published 2013 in 2013 IEEE International Congress on Big Data
DOI:10.1109/BigData.Congress.2013.31

Many applications in real life can produce a large amount of data which can be modeled by a graph. A large graph usually has millions of vertices and billions of edges. This paper presents a BSP-based system, called BC-BSP+, to process large graphs iteratively in parallel. It has the flexibility to configure policies (i.e., disk management parameters) and extend functions (i.e., programming interfaces), to compute large-scale graphs, to tolerate faults, and to balance loads. Especially, threeâ€¦Â CONTINUE READING