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)
Incoming Non-self Citations Over Time
Authors
- 1. Tyler Akidau (Google)
- 2. Alex Balikov (Google)
- 3. Kaya Bekiroğlu (Google)
- 4. Slava Chernyak (Google)
- 5. Josh Haberman (Google)
- 6. Reuven Lax (Google)
- 7. Sam McVeety (Google)
- 8. Daniel Mills (Google)
- 9. Paul Nordstrom (Google)
- 10. Sam Whittle (Google)
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 50 of 66 citing papers.
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.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 26 | Models and Issues in Data Stream Systems | 2002 | PODS | 0.00052982574 |
| 127 | The Design of the Borealis Stream Processing Engine | 2005 | CIDR | 0.00030738755 |
| 150 | Query Processing, Resource Management, and Approximation in a Data Stream Management System | 2003 | CIDR | 0.00029208207 |
| 220 | Storm @Twitter | 2014 | SIGMOD | 0.00024244587 |
| 424 | Flexible Time Management in Data Stream Systems | 2004 | PODS | 0.0001870735 |
| 505 | TelegraphCQ: Continuous Dataflow Processing | 2003 | SIGMOD | 0.00017285498 |
| 1,223 | Out-of-Order Processing: A New Architecture for High-Performance Stream Systems | 2008 | VLDB | 0.00011602265 |
| 1,696 | Gigascope: High Performance Network Monitoring with an SQL Interface | 2002 | SIGMOD | 9.9810227e-05 |
| 3,332 | A Heartbeat Mechanism and its Application in Gigascope | 2005 | VLDB | 7.5129799e-05 |
| 3,776 | Fault-tolerant Stream Processing using a Distributed, Replicated File System | 2008 | VLDB | 7.1347542e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 361 | The Dataflow Model: A Practical Approach to Balancing Correctness, Latency, and Cost in Massive-Scale, Unbounded, Out-of-Order Data Processing | 2015 | VLDB |
| 2 | 3,776 | Fault-tolerant Stream Processing using a Distributed, Replicated File System | 2008 | VLDB |
| 3 | 13,523 | Fault-Tolerance for Distributed Iterative Dataflows in Action | 2018 | VLDB |
| 4 | 983 | Integrating Scale Out and Fault Tolerance in Stream Processing using Operator State Management | 2013 | SIGMOD |
| 5 | 1,789 | Fault-Tolerance in the Borealis Distributed Stream Processing System | 2005 | SIGMOD |
| 6 | 1,209 | Highly Available, Fault-Tolerant, Parallel Dataflows | 2004 | SIGMOD |
| 7 | 9,596 | Cost-based Fault-tolerance for Parallel Data Processing | 2015 | SIGMOD |
| 8 | 9,968 | Railgun: managing large streaming windows under MAD requirements | 2021 | VLDB |
| 9 | 1,171 | Photon: Fault-tolerant and Scalable Joining of Continuous Data Streams | 2013 | SIGMOD |
| 10 | 12,022 | Toward High-Performance Distributed Stream Processing via Approximate Fault Tolerance | 2017 | VLDB |