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MillWheel: Fault-Tolerant Stream Processing at Internet Scale

Summary: MillWheel is a Google-scale, low-latency stream-processing framework where users define computation graphs while the system manages persistent state, record flow, and fault tolerance. Its distinctive logical-time programming model simplifies time-based aggregation alongside scalable, resilient execution. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
h17732676c490721e
Venue
VLDB
Year
2013
Pagerank
0.00024390324
Overall Rank
218 | 98.54%
DOI
10.14778/2536222.2536229

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{akidau_vldb13,
        title = {{MillWheel: Fault-Tolerant Stream Processing at Internet Scale}},
        author = {Akidau, Tyler and Balikov, Alex and Bekiroğlu, Kaya and Chernyak, Slava and Haberman, Josh and Lax, Reuven and McVeety, Sam and Mills, Daniel and Nordstrom, Paul and Whittle, Sam},
        journal = {PVLDB},
        series = {{VLDB} '13},
        volume = {6},
        number = {11},
        pages = {1033--1044},
        doi = {10.14778/2536222.2536229},
        url = {https://doi.org/10.14778/2536222.2536229},
        year = {2013}
}

Incoming Citations (Sorted by Pagerank)

Showing 20 of 70 citing papers.

Rank Citing Paper Year Venue Pagerank
9,648 Disaggregated State Management in Apache Flink 2.0 2025 VLDB 5.1453267e-05
9,810 Scabbard: Single-Node Fault-Tolerant Stream Processing 2022 VLDB 5.1257999e-05
9,816 Supporting Scalable Analytics with Latency Constraints 2015 VLDB 5.1257999e-05
9,916 GeaFlow: A Graph Extended and Accelerated Dataflow System 2023 SIGMOD 5.1103839e-05
10,862 Fugue: Online Elasticity for Distributed Stateful Stream Processing 2026 VLDB 4.9793485e-05
10,925 The Live Database: Firestore’s Scalable and Consistent Realtime Queries 2026 VLDB 4.9793485e-05
10,927 A Decade of Apache Spark Structured Streaming: How We Evolved The Architecture To Meet Real-World Needs 2026 VLDB 4.9793485e-05
11,036 The Dataflow Model Revisited Or: That Feeling When You Realize Every Problem You've Been Solving Is a Database Problem 2026 VLDB 4.9793485e-05
11,129 Oceanus: Enable SLO-Aware Vertical Autoscaling for Cloud-Native Streaming Services in Tencent 2025 SIGMOD 4.9793485e-05
11,145 CORE+: A Complex Event Recognition Engine in C++ 2025 SIGMOD 4.9793485e-05
11,372 Scribe: How Meta transports terabytes per second in real time 2025 VLDB 4.9793485e-05
11,772 Out-of-Order Sliding-Window Aggregation with Efficient Bulk Evictions and Insertions 2023 VLDB 4.9793485e-05
11,815 Making Cache Monotonic and Consistent 2023 VLDB 4.9793485e-05
11,940 Synchronization Schemas 2021 PODS 4.9793485e-05
11,972 Klink: Progress-Aware Scheduling for Streaming Data Systems 2021 SIGMOD 4.9793485e-05
12,168 Online Template Induction for Machine-Generated Emails 2019 VLDB 4.9793485e-05
12,213 Robust, Scalable, Real-Time Event Time Series Aggregation at Twitter 2018 SIGMOD 4.9793485e-05
12,232 Challenges and Experiences in Building an Efficient Apache Beam Runner For IBM Streams 2018 VLDB 4.9793485e-05
12,317 Toward High-Performance Distributed Stream Processing via Approximate Fault Tolerance 2017 VLDB 4.9793485e-05
12,345 The Challenges of Global-scale Data Management 2016 SIGMOD 4.9793485e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 10 of 10 cited papers.

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

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