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Clonos: Consistent Causal Recovery for Highly-Available Streaming Dataflows
Summary: Clonos enables instant local recovery for streaming dataflows with exactly-once guarantees by switching to passive standby operators. Causal logging tracks nondeterminism to enforce causally consistent recovery with output deduplication; evaluated on Nexmark vs Flink with negligible overhead and no determinism assumptions.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 6210
- Venue
- SIGMOD
- Year
- 2021
- Pagerank
- 5.2641681e-05
- Overall Rank
- 5,939 | 58.69%
- DOI
-
10.1145/3448016.3457320
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 19 of 19 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 288 |
Storm @Twitter |
2014 |
SIGMOD |
0.00028939871 |
| 314 |
MillWheel: Fault-Tolerant Stream Processing at Internet Scale |
2013 |
VLDB |
0.00028084774 |
| 432 |
Flexible Time Management in Data Stream Systems |
2004 |
PODS |
0.00023368424 |
| 824 |
Twitter Heron: Stream Processing at Scale |
2015 |
SIGMOD |
0.0001623129 |
| 1,226 |
Integrating Scale Out and Fault Tolerance in Stream Processing using Operator State Management |
2013 |
SIGMOD |
0.00013180799 |
| 1,340 |
Scalable Distributed Stream Processing |
2003 |
CIDR |
0.00012489223 |
| 1,357 |
Highly Available, Fault-Tolerant, Parallel Dataflows |
2004 |
SIGMOD |
0.00012392275 |
| 1,548 |
Structured Streaming: A Declarative API for Real-Time Applications in Apache Spark |
2018 |
SIGMOD |
0.00011431383 |
| 1,551 |
Out-of-Order Processing: A New Architecture for High-Performance Stream Systems |
2008 |
VLDB |
0.00011416058 |
| 1,990 |
Fault-Tolerance in the Borealis Distributed Stream Processing System |
2005 |
SIGMOD |
9.8472819e-05 |
| 2,338 |
Samza: Stateful Scalable Stream Processing at LinkedIn |
2017 |
VLDB |
9.00711e-05 |
| 3,886 |
Fault-tolerant Stream Processing using a Distributed, Replicated File System |
2008 |
VLDB |
6.6661649e-05 |
| 4,795 |
Rhino: Efficient Management of Very Large Distributed State for Stream Processing Engines |
2020 |
SIGMOD |
5.9158043e-05 |
| 5,187 |
Stateful Functions as a Service in Action |
2019 |
VLDB |
5.6400706e-05 |
| 5,263 |
Consistent Regions: Guaranteed Tuple Processing in IBM Streams |
2016 |
VLDB |
5.5976361e-05 |
| 5,753 |
Building a Replicated Logging System with Apache Kafka |
2015 |
VLDB |
5.3404371e-05 |
| 6,721 |
Beyond Analytics: The Evolution of Stream Processing Systems |
2020 |
SIGMOD |
4.9492015e-05 |
| 7,373 |
Hazelcast Jet: Low-latency Stream Processing at the 99.99th Percentile |
2021 |
VLDB |
4.7494183e-05 |
| 9,302 |
Shrink – Prescribing Resiliency Solutions for Streaming |
2017 |
VLDB |
4.3587156e-05 |
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| 11,819 |
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| 1,357 |
Highly Available, Fault-Tolerant, Parallel Dataflows |
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SIGMOD |
0.00012392275 |