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A Scalable Search Engine for Mass Storage Smart Objects

Summary: Embedded search engine for ultra-constrained smart objects with flash storage. Three design primitives—Write-Once Partitioning, Linear Pipelining, Background Linear Merging—reconcile high insert/delete/update throughput with scalable queries; hardware-validated and dataset-backed, beating state-of-the-art. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11389
Venue
VLDB
Year
2015
Pagerank
5.093636e-05
Overall Rank
12,161 | 16.57%
DOI
10.14778/2777598.2777600

Incoming Non-self Citations Over Time

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Authors

BibTeX Citation

@article{anciaux_vldb15,
        title = {{A Scalable Search Engine for Mass Storage Smart Objects}},
        author = {Anciaux, Nicolas and Lallali, Saliha and Popa, Iulian Sandu and Pucheral, Philippe},
        journal = {PVLDB},
        series = {{VLDB} '15},
        volume = {8},
        number = {9},
        doi = {10.14778/2777598.2777600},
        url = {https://doi.org/10.14778/2777598.2777600},
        year = {2015}
}

Incoming Citations (Sorted by Pagerank)

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Rank Citing Paper Year Venue Pagerank
12,113 A Secure Search Engine for the Personal Cloud 2015 SIGMOD 5.093636e-05
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