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ScalaGiST: Scalable Generalized Search Trees for MapReduce Systems [Innovative Systems Paper]

Summary: ScalaGiST brings scalable generalized search trees to Hadoop for index-based MapReduce queries. A cost-based optimizer plus extensible data/query types (multi-D range, k-NN) enable B+-tree/R-tree–like indexing with elastic, large-cluster deployment and competitive performance against SpatialHadoop, RT-CAN, and Data Mapping. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10878
Venue
VLDB
Year
2014
Pagerank
4.5858883e-05
Overall Rank
8,086 | 43.81%
DOI
-

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Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
5,985 The Era of Big Spatial Data 2017 VLDB 5.2399365e-05
7,268 Comparing Synopsis Techniques for Approximate Spatial Data Analysis 2019 VLDB 4.7769096e-05
8,704 Incremental Partitioning for Efficient Spatial Data Analytics 2022 VLDB 4.4596039e-05
12,014 YZStack: Provisioning Customizable Solution for Big Data 2014 VLDB 4.1905499e-05
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Showing 12 of 12 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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