AQWA: Adaptive Query-Workload-Aware Partitioning of Big Spatial Data
Summary: AQWA: adaptive, workload-aware partitioning that incrementally updates partitions as data arrives and queries execute, with no distribution/workload. Twitter data with range/kNN workloads shows AQWA delivering up to 10x faster queries than static partitioning. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Ahmed M. Aly (Purdue University)
- 2. Ahmed R. Mahmood (Purdue University)
- 3. Mohamed S. Hassan (Purdue University)
- 4. Walid G. Aref (Purdue University)
- 5. Mourad Ouzzani (Qatar Computing Research Institute)
- 6. Hazem Elmeleegy (Turn Inc.)
- 7. Thamir Qadah (Purdue University)
BibTeX Citation
@article{aly_vldb15,
title = {{AQWA: Adaptive Query-Workload-Aware Partitioning of Big Spatial Data}},
author = {Aly, Ahmed M. and Mahmood, Ahmed R. and Hassan, Mohamed S. and Aref, Walid G. and Ouzzani, Mourad and Elmeleegy, Hazem and Qadah, Thamir},
journal = {PVLDB},
series = {{VLDB} '15},
volume = {8},
number = {13},
doi = {10.14778/2831360.2831361},
url = {https://doi.org/10.14778/2831360.2831361},
year = {2015}
}Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,513 | LocationSpark: A Distributed In-Memory Data Management System for Big Spatial Data | 2016 | VLDB | 6.565997e-05 |
| 7,519 | Comparing Synopsis Techniques for Approximate Spatial Data Analysis | 2019 | VLDB | 5.502959e-05 |
| 8,207 | Architecting a Query Compiler for Spatial Workloads | 2020 | SIGMOD | 5.3778259e-05 |
| 8,809 | Incremental Partitioning for Efficient Spatial Data Analytics | 2022 | VLDB | 5.2724071e-05 |
| 10,048 | Adaptive Indexing of Objects with Spatial Extent | 2023 | VLDB | 5.0899328e-05 |
| 10,124 | Amoeba: A Shape changing Storage System for Big Data | 2016 | VLDB | 5.0753201e-05 |
| 10,329 | Distributed Stream KNN Join | 2021 | SIGMOD | 5.0333462e-05 |
| 12,099 | SSTD: A Distributed System on Streaming Spatio-Textual Data | 2020 | VLDB | 4.9793485e-05 |
| 12,277 | Query Processing Techniques for Big Spatial-Keyword Data | 2017 | SIGMOD | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 17 of 17 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 3,731 | An Efficient Query Indexing Mechanism for Filtering Geo-Textual Data | 2013 | SIGMOD |
| 2 | 1,477 | Efficient Processing of Top-k Spatial Preference Queries | 2011 | VLDB |
| 3 | 4,513 | LocationSpark: A Distributed In-Memory Data Management System for Big Spatial Data | 2016 | VLDB |
| 4 | 8,369 | Waffle: A Workload-Aware and Query-Sensitive Framework for Disk-Based Spatial Indexing | 2023 | VLDB |
| 5 | 7,706 | Query Centric Partitioning and Allocation for Partially Replicated Database Systems | 2017 | SIGMOD |
| 6 | 8,820 | Spatial Queries with Two kNN Predicates | 2012 | VLDB |
| 7 | 6,578 | Workload-Aware Indexing of Continuously Moving Objects | 2009 | VLDB |
| 8 | 12,099 | SSTD: A Distributed System on Streaming Spatio-Textual Data | 2020 | VLDB |
| 9 | 8,809 | Incremental Partitioning for Efficient Spatial Data Analytics | 2022 | VLDB |
| 10 | 12,434 | A Demonstration of AQWA: Adaptive Query-Workload-Aware Partitioning of Big Spatial Data | 2015 | VLDB |