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Data Provenance at Internet Scale: Architecture, Experiences, and the Road Ahead

Summary: Recasts database provenance for Internet-scale distributed systems, redesigning models/architecture to handle scale, heterogeneity, and real-time forensic/diagnostic needs. Describes a unified system, deployments for intrusion analysis and SDN debugging/auto-fix, and open challenges. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
299
Venue
CIDR
Year
2017
Pagerank
7.9480559e-05
Overall Rank
2,892 | 79.89%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 8 of 8 citing papers.

Rank Citing Paper Year Venue Pagerank
2,280 SMOKE: Fine-grained Lineage at Interactive Speed 2018 VLDB 9.1111033e-05
2,764 The Semiring Framework for Database Provenance 2017 PODS 8.1574444e-05
6,160 A Demonstration of Interactive Analysis of Performance Measurements with Viska 2017 SIGMOD 5.1758344e-05
7,857 Fixed It For You: Protocol Repair Using Lineage Graphs 2019 CIDR 4.6345517e-05
8,341 BugDoc: Algorithms to Debug Computational Processes 2020 SIGMOD 4.5433282e-05
8,663 Transactions Make Debugging Easy 2023 CIDR 4.4722808e-05
9,220 BugDoc: A System for Debugging Computational Pipelines 2020 SIGMOD 4.3702188e-05
10,886 FaDE: More Than a Million What-ifs Per Second 2025 VLDB 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 14 of 14 cited papers.

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

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