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Distributed Time-aware Provenance

Summary: DTaP enables time-aware provenance for distributed systems, modeling time, state, and changes. DistTape implements DTaP with distributed storage, query processing, and cost-based optimization, enabling time-aware provenance for routing and MapReduce. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10901
Venue
VLDB
Year
2013
Pagerank
5.4022415e-05
Overall Rank
8,610 | 40.93%
DOI
10.14778/2535568.2535569

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{zhou_vldb13,
        title = {{Distributed Time-aware Provenance}},
        author = {Zhou, Wenchao and Mapara, Suyog and Ren, Yiqing and Li, Yang and Haeberlen, Andreas and Ives, Zachary and Loo, Boon Thau and Sherr, Micah},
        journal = {PVLDB},
        series = {{VLDB} '13},
        volume = {6},
        number = {2},
        pages = {49--60},
        doi = {10.14778/2535568.2535569},
        url = {https://doi.org/10.14778/2535568.2535569},
        year = {2013}
}

Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank Citing Paper Year Venue Pagerank
2,663 Partial Results in Database Systems 2014 SIGMOD 8.2818137e-05
2,807 Data Provenance at Internet Scale: Architecture, Experiences, and the Road Ahead 2017 CIDR 8.1009158e-05
4,845 Explaining Outputs in Modern Data Analytics 2016 VLDB 6.4818607e-05
5,757 Distributed Provenance Compression 2017 SIGMOD 6.0972276e-05
12,002 Privacy-Preserving Network Provenance 2017 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 9 of 9 cited papers.

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

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