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Scalable XML Query Processing using Parallel Pushdown Transducers

Summary: Parallel pushdown transducers enable XPath evaluation over arbitrarily partitioned, even malformed XML stream chunks by computing start-to-finish state mappings independently. Achieves 2.5 GB/s and near-linear scaling to 64 cores, avoiding fragment-boundary bottlenecks. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
10849
Venue
VLDB
Year
2013
Pagerank
5.2786187e-05
Overall Rank
9,367 | 35.74%
DOI
10.14778/2556549.2556558

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{ogden_vldb13,
        title = {{Scalable XML Query Processing using Parallel Pushdown Transducers}},
        author = {Ogden, Peter and Thomas, David and Pietzuch, Peter},
        journal = {PVLDB},
        series = {{VLDB} '13},
        volume = {6},
        number = {14},
        pages = {1738--1749},
        doi = {10.14778/2556549.2556558},
        url = {https://doi.org/10.14778/2556549.2556558},
        year = {2013}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
7,766 Scalable Structural Index Construction for JSON Analytics 2021 VLDB 5.549481e-05
9,117 AT-GIS: Highly Parallel Spatial Query Processing with Associative Transducers 2016 SIGMOD 5.3204028e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

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

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