Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
4-2021
Abstract
Reachability query is a fundamental problem on graphs, which has been extensively studied in academia and industry. Since graphs are subject to frequent updates in many applications, it is essential to support efficient graph updates while offering good performance in reachability queries. Existing solutions compress the original graph with the Directed Acyclic Graph (DAG) and propose efficient query processing and index update techniques. However, they focus on optimizing the scenarios where the Strong Connected Components (SCCs) remain unchanged and have overlooked the prohibitively high cost of the DAG maintenance when SCCs are updated. In this paper, we propose DBL, an efficient DAG-free index to support the reachability query on dynamic graphs with insertion-only updates. DBL builds on two complementary indexes: Dynamic Landmark (DL) label and Bidirectional Leaf (BL) label. The former leverages landmark nodes to quickly determine reachable pairs whereas the latter prunes unreachable pairs by indexing the leaf nodes in the graph. We evaluate DBL against the state-of-the-art approaches on dynamic reachability index with extensive experiments on real-world datasets. The results have demonstrated that DBL achieves orders of magnitude speedup in terms of index update, while still producing competitive query efficiency.
Discipline
Databases and Information Systems | Data Storage Systems
Research Areas
Data Science and Engineering
Publication
Database Systems for Advanced Applications:26th International Conference (DASFAA 2021), Virtual Conference, April 11-14: Proceeding
Volume
12682
First Page
761
Last Page
777
ISBN
9783030731977
Identifier
10.1007/978-3-030-73197-7_52
Publisher
Springer
City or Country
Cham
Citation
LYU, Qiuyi; LI, Yuchen; HE, Bingsheng; and GONG, Bin.
DBL: Efficient reachability queries on dynamic graphs. (2021). Database Systems for Advanced Applications:26th International Conference (DASFAA 2021), Virtual Conference, April 11-14: Proceeding. 12682, 761-777.
Available at: https://ink.library.smu.edu.sg/sis_research/6203
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1007/978-3-030-73197-7_52