A disk I/O optimized system for concurrent graph processing jobs

Author:

Xu Xianghao,Wang Fang,Jiang Hong,Cheng Yongli,Feng Dan,Fang Peng

Publisher

Springer Science and Business Media LLC

Reference38 articles.

1. Malewicz G, Austern M H, Bik A J C, Dehnert J C, Horn I, Leiser N, Czajkowski G. Pregel: a system for large-scale graph processing. In: Proceedings of 2010 ACM SIGMOD International Conference on Management of Data. 2010, 135–146

2. Low Y, Bickson D, Gonzalez J, Guestrin C, Kyrola A, Hellerstein J M. Distributed GraphLab: a framework for machine learning and data mining in the cloud. Proceedings of the VLDB Endowment, 2012, 5(8): 716–727

3. Gonzalez J E, Low Y, Gu H, Bickson D, Guestrin C. PowerGraph: distributed graph-parallel computation on natural graphs. In: Proceedings of the 10th USENIX Conference on Operating Systems Design and Implementation. 2012, 17–30

4. Zhu X, Chen W, Zheng W, Ma X. Gemini: a computation-centric distributed graph processing system. In: Proceedings of the 12th USENIX Conference on Operating Systems Design and Implementation. 2016, 301–316

5. Kyrola A, Blelloch G, Guestrin C. GraphChi: large-scale graph computation on just a PC. In: Proceedings of the 10th USENIX Conference on Operating Systems Design and Implementation. 2012, 31–46

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