Pregel: a system for large-scale graph processing
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Hyracks: A flexible and extensible foundation for data-intensive computing
ICDE '11 Proceedings of the 2011 IEEE 27th International Conference on Data Engineering
Distributed GraphLab: a framework for machine learning and data mining in the cloud
Proceedings of the VLDB Endowment
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Recently, Google has proposed the Pregel programming model [2] for Big Graph analytics, where application programmers need no knowledge of parallel or distributed systems. Instead, they just need to "think like a vertex" and write a few functions that encapsulate the logic for what one graph vertex does. The vertex-oriented programming model has been found to ease the implementation of distributed graph algorithms to a great extent.