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Disaggregated State Management in Apache Flink 2.0

Summary: Flink 2.0 disaggregates state from compute, streaming updates to a remote DFS while caching locally and masking latency asynchronously. ForSt’s unified filesystem enables lightweight checkpointing, recovery, and reconfiguration—up to 94% shorter checkpoints, 49× faster recovery, and 50% lower cost. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
h76502f33a8ba24a4
Venue
VLDB
Year
2025
Pagerank
5.1453267e-05
Overall Rank
9,648 | 35.14%
DOI
10.14778/3750601.3750609

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{mei_vldb25,
        title = {{Disaggregated State Management in Apache Flink 2.0}},
        author = {Mei, Yuan and Xia, Rui and Lan, Zhaoqian and Hu, Kaitian and Huang, Lei and Carbone, Paris and Lei, Yanfei and Kalavri, Vasiliki and Yin, Han and Wang, Feng},
        journal = {PVLDB},
        series = {{VLDB} '25},
        volume = {18},
        number = {12},
        pages = {4848--4859},
        doi = {10.14778/3750601.3750609},
        url = {https://doi.org/10.14778/3750601.3750609},
        year = {2025}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

Showing 28 of 28 cited papers.

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

Rank Cited Paper Year Venue Pagerank
52 The Snowflake Elastic Data Warehouse 2016 SIGMOD 0.00041219077
63 Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases 2017 SIGMOD 0.00038531147
218 MillWheel: Fault-Tolerant Stream Processing at Internet Scale 2013 VLDB 0.00024390324
231 Storm @Twitter 2014 SIGMOD 0.00023841089
240 Gigascope: A Stream Database for Network Applications 2003 SIGMOD 0.00023435436
325 The Dataflow Model: A Practical Approach to Balancing Correctness, Latency, and Cost in Massive-Scale, Unbounded, Out-of-Order Data Processing 2015 VLDB 0.00020964941
369 Continuous Queries over Append-Only Databases 1992 SIGMOD 0.00019854467
429 Flexible Time Management in Data Stream Systems 2004 PODS 0.00018439857
510 TelegraphCQ: Continuous Dataflow Processing 2003 SIGMOD 0.00017065714
680 Amazon Redshift Re-invented 2022 SIGMOD 0.00014828697
1,197 Out-of-Order Processing: A New Architecture for High-Performance Stream Systems 2008 VLDB 0.00011566535
1,217 PolarFS: An Ultra-low Latency and Failure Resilient Distributed File System for Shared Storage Cloud Database 2018 VLDB 0.00011489607
1,303 Realtime Data Processing at Facebook 2016 SIGMOD 0.0001110427
1,402 State Management in Apache Flink: Consistent Stateful Distributed Stream Processing 2017 VLDB 0.00010771949
1,513 Cloud-Native Database Systems at Alibaba: Opportunities and Challenges 2019 VLDB 0.00010429438
1,633 Summingbird: A Framework for Integrating Batch and Online MapReduce Computations 2014 VLDB 0.00010019617
1,771 Samza: Stateful Scalable Stream Processing at LinkedIn 2017 VLDB 9.6803752e-05
1,790 POLARIS: The Distributed SQL Engine in Azure Synapse 2020 VLDB 9.6272006e-05
1,828 Fault-Tolerance in the Borealis Distributed Stream Processing System 2005 SIGMOD 9.5516021e-05
1,938 S-Store: Streaming Meets Transaction Processing 2015 VLDB 9.3342542e-05
2,484 AnalyticDB: Real-time OLAP Database System at Alibaba Cloud 2019 VLDB 8.3993882e-05
2,671 Taurus Database: How to be Fast, Available, and Frugal in the Cloud 2020 SIGMOD 8.15025e-05
3,583 STREAM: The Stanford Stream Data Manager (Demonstration Description) 2003 SIGMOD 7.1908304e-05
3,673 DBSP: Automatic Incremental View Maintenance for Rich Query Languages 2023 VLDB 7.1092596e-05
4,309 Consistent Regions: Guaranteed Tuple Processing in IBM Streams 2016 VLDB 6.6732011e-05
4,450 Consistency and Completeness: Rethinking Distributed Stream Processing in Apache Kafka 2021 SIGMOD 6.594912e-05
6,266 Beyond Analytics: The Evolution of Stream Processing Systems 2020 SIGMOD 5.8303329e-05
6,620 Watermarks in Stream Processing Systems: Semantics and Comparative Analysis of Apache Flink and Google Cloud Dataflow 2021 VLDB 5.7315465e-05
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