Large Graph Processing in the Cloud
Summary: Surfer is a cloud-based large-graph engine combining MapReduce (vertex-oriented) and propagation (edge-oriented) for iterative workloads. It provides high-level building blocks, a GUI for visual task composition, and automated plan optimization with visualization to compare MapReduce vs propagation on social networks. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Rishan Chen (Microsoft; Peking University)
- 2. Xuetian Weng (Microsoft; Peking University)
- 3. Bingsheng He (Microsoft)
- 4. Mao Yang (Microsoft)
BibTeX Citation
@inproceedings{chen_sigmod10,
title = {{Large Graph Processing in the Cloud}},
author = {Chen, Rishan and Weng, Xuetian and He, Bingsheng and Yang, Mao},
series = {{SIGMOD} '10},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1807167.1807297},
url = {https://dl.acm.org/doi/10.1145/1807167.1807297},
year = {2010}
}Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 20 | Distributed GraphLab: A Framework for Machine Learning and Data Mining in the Cloud | 2012 | VLDB | 0.00056944564 |
| 1,339 | Computing Personalized PageRank Quickly by Exploiting Graph Structures | 2014 | VLDB | 0.00011112799 |
| 4,813 | Horton+: A Distributed System for Processing Declarative Reachability Queries over Partitioned Graphs | 2013 | VLDB | 6.4974292e-05 |
| 9,424 | Hybrid Pulling/Pushing for I/O-Efficient Distributed and Iterative Graph Computing | 2016 | SIGMOD | 5.2715528e-05 |
| 9,749 | Auto-Approximation of Graph Computing | 2014 | VLDB | 5.227679e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 30 | SCOPE: Easy and Efficient Parallel Processing of Massive Data Sets | 2008 | VLDB | 0.00051174276 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 3,065 | Pregel Algorithms for Graph Connectivity Problems with Performance Guarantees | 2014 | VLDB |
| 2 | 5,675 | MOCgraph: Scalable Distributed Graph Processing Using Message Online Computing | 2015 | VLDB |
| 3 | 264 | The Ubiquity of Large Graphs and Surprising Challenges of Graph Processing | 2018 | VLDB |
| 4 | 12,594 | Ad-Hoc Data Processing in the Cloud | 2008 | VLDB |
| 5 | 3 | Pregel: A System for Large-Scale Graph Processing | 2010 | SIGMOD |
| 6 | 4,787 | Systems for Big-Graphs | 2014 | VLDB |
| 7 | 1,875 | Large-Scale Distributed Graph Computing Systems: An Experimental Evaluation | 2015 | VLDB |
| 8 | 8,085 | Start Late or Finish Early: A Distributed Graph Processing System with Redundancy Reduction | 2019 | VLDB |
| 9 | 389 | One Trillion Edges: Graph Processing at Facebook-Scale | 2015 | VLDB |
| 10 | 3,008 | Scalable Big Graph Processing in MapReduce | 2014 | SIGMOD |