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Conclusions

  • Yingxia Shao
  • Bin Cui
  • Lei Chen
Chapter
  • 22 Downloads
Part of the Big Data Management book series (BIGDM)

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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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.School of Computer ScienceBeijing University of Posts and Telecommunications BeijingBeijingChina
  2. 2.School of Electronics Engineering and Computer SciencePeking University BeijingBeijingChina
  3. 3.Department of Computer Science and EngineeringHong Kong University of Science and TechnologyHong KongChina

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