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A Demonstration of AQWA: Adaptive Query-Workload-Aware Partitioning of Big Spatial Data

Summary: Adaptive, workload-aware partitioning for big spatial data (AQWA). Incrementally re-partitions in response to data and query-workload shifts without prior workload knowledge; demonstrated with two prototypes on Hadoop and Spark supporting range and kNN queries. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11094
Venue
VLDB
Year
2015
Pagerank
4.1945683e-05
Overall Rank
11,943 | 16.92%
DOI
-

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Rank Citing Paper Year Venue Pagerank
8,596 Prompt: Dynamic Data-Partitioning for Distributed Micro-batch Stream Processing Systems 2020 SIGMOD 4.4887993e-05
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