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

Summary: ScalaGiST embeds an extensible generalized search tree and cost-based runtime optimizer into Hadoop MapReduce. It supports dynamically deployed B+-tree/R-tree variants, multidimensional range and k-NN queries, and elastic indexing for ad-hoc analytics. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
11065
Venue
VLDB
Year
2014
Pagerank
5.5107935e-05
Overall Rank
7,990 | 45.19%
DOI
10.14778/2733085.2733087

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{lu_vldb14,
        title = {{ScalaGiST: Scalable Generalized Search Trees for MapReduce Systems [Innovative Systems Paper]}},
        author = {Lu, Peng and Chen, Gang and Ooi, Beng Chin and Vo, Hoang Tam and Wu, Sai},
        journal = {PVLDB},
        series = {{VLDB} '14},
        volume = {7},
        number = {14},
        doi = {10.14778/2733085.2733087},
        url = {https://doi.org/10.14778/2733085.2733087},
        year = {2014}
}

Incoming Citations (Sorted by Pagerank)

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6,382 The Era of Big Spatial Data 2017 VLDB 5.8915267e-05
7,379 Comparing Synopsis Techniques for Approximate Spatial Data Analysis 2019 VLDB 5.629255e-05
8,644 Incremental Partitioning for Efficient Spatial Data Analytics 2022 VLDB 5.3934068e-05
12,204 YZStack: Provisioning Customizable Solution for Big Data 2014 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

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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