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Cascade-aware partitioning of large graph databases
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Demirci, Gunduz Vehbi, Ferhatosmanoglu, Hakan and Aykanat, Cevdet (2018) Cascade-aware partitioning of large graph databases. The VLDB Journal, 28 (3). pp. 329-350. doi:10.1007/s00778-018-0531-8
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WRAP-cascade-aware-partitioning-large-graph-databases-Ferhatosmanoglu-2019.pdf - Accepted Version - Requires a PDF viewer. Available under License Creative Commons Attribution 4.0. Download (736Kb) | Preview |
Official URL: http://dx.doi.org/10.1007/s00778-018-0531-8
Abstract
Graph partitioning is an essential task for scalable data management and analysis. The current partitioning methods utilize the structure of the graph, and the query log if available. Some queries performed on the database may trigger further operations. For example, the query workload of a social network application may contain re-sharing operations in the form of cascades. It is beneficial to include the potential cascades in the graph partitioning objectives. In this paper, we introduce the problem of cascade-aware graph partitioning that aims to minimize the overall cost of communication among parts/servers during cascade processes. We develop a randomized solution that estimates the underlying cascades, and use it as an input for partitioning of large-scale graphs. Experiments on 17 real social networks demonstrate the effectiveness of the proposed solution in terms of the partitioning objectives.
| Item Type: | Journal Article | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software | ||||||||
| Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||||||
| Library of Congress Subject Headings (LCSH): | Social networks -- Databases -- Mathematical models | ||||||||
| Journal or Publication Title: | The VLDB Journal | ||||||||
| Publisher: | Springer Berlin Heidelberg | ||||||||
| ISSN: | 1066-8888 | ||||||||
| Official Date: | June 2018 | ||||||||
| Dates: |
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| Volume: | 28 | ||||||||
| Number: | 3 | ||||||||
| Page Range: | pp. 329-350 | ||||||||
| DOI: | 10.1007/s00778-018-0531-8 | ||||||||
| Status: | Peer Reviewed | ||||||||
| Publication Status: | Published | ||||||||
| Access rights to Published version: | Open Access |
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