Cascade-aware partitioning of large graph databases
Author:
Funder
University of Warwick
Publisher
Springer Science and Business Media LLC
Subject
Hardware and Architecture,Information Systems
Link
http://link.springer.com/content/pdf/10.1007/s00778-018-0531-8.pdf
Reference51 articles.
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2. Mondal, J., Deshpande, A.: Managing large dynamic graphs efficiently. In: Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data, pp. 145–156. ACM, (2012)
3. Yang, S., Yan, X., Zong, B., Khan, A.: Towards effective partition management for large graphs. In: Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data, pp. 517–528. ACM, (2012)
4. Curino, C., Jones, E., Zhang, Y., Madden, S.: Schism: a workload-driven approach to database replication and partitioning. Proc. VLDB Endow. 3(1–2), 48–57 (2010)
5. Yaşar, A., Gedik, B., Ferhatosmanoğlu, H.: Distributed block formation and layout for disk-based management of large-scale graphs. Distrib. Parallel Databases 35(1), 23–53 (2017)
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