Pagrol: Parallel graph olap over large-scale attributed graphs

@article{Wang2014PagrolPG,
  title={Pagrol: Parallel graph olap over large-scale attributed graphs},
  author={Zhengkui Wang and Qi Fan and Huiju Wang and Kian-Lee Tan and Divyakant Agrawal and Amr El Abbadi},
  journal={2014 IEEE 30th International Conference on Data Engineering},
  year={2014},
  pages={496-507}
}
Attributed graphs are becoming important tools for modeling information networks, such as the Web and various social networks (e.g. Facebook, LinkedIn, Twitter). However, it is computationally challenging to manage and analyze attributed graphs to support effective decision making. In this paper, we propose, Pagrol, a parallel graph OLAP (Online Analytical Processing) system over attributed graphs. In particular, Pagrol introduces a new conceptual Hyper Graph Cube model (which is an attributed… CONTINUE READING
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