Abstract
Large-scale graph analysis is a critical task for big data applications. The distributed graph computing system is a successful paradigm for the large-scale graph analysis. It not only helps analysts achieve high scalability and efficiency, but also enables analysts to focus on the logic of analysis tasks through transparenting the tedious distributed communication protocols. In this book, we chose Pregel-like systems as a basic platform, and studied the deficiency of existing systems.
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Shao, Y., Cui, B., Chen, L. (2020). Conclusions. In: Large-scale Graph Analysis: System, Algorithm and Optimization. Big Data Management. Springer, Singapore. https://doi.org/10.1007/978-981-15-3928-2_7
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DOI: https://doi.org/10.1007/978-981-15-3928-2_7
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