Abstract
Chapter 2 introduces the vertex-centric computation model pioneered by Google, and the other Pregel-like systems with various optimization techniques. The topic is presented at the very beginning since Pregel-like computation model is unarguably the most popular model for processing big graphs, and many concepts involved are important for understanding the other graph analytics frameworks. Chapter 3 then presents a tutorial on the BigGraph@CUHK toolkit, and the Pregel+ system in specific. The tutorial not only provides a timely hands-on experience of using a Pregel-like system, but also includes numerous valuable information on how to design a Big Data system from scratch. As the last chapter on vertex-centric computation, Chap.
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Yan, D., Tian, Y., Cheng, J. (2017). Conclusions. In: Systems for Big Graph Analytics. SpringerBriefs in Computer Science. Springer, Cham. https://doi.org/10.1007/978-3-319-58217-7_8
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DOI: https://doi.org/10.1007/978-3-319-58217-7_8
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Online ISBN: 978-3-319-58217-7
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