Fries: Fast and Consistent Runtime Reconfiguration in Dataflow Systems with Transactional Guarantees

Summary: Fries uses out-of-band fast control messages to enable low-latency runtime reconfiguration in pipelined dataflows, avoiding epoch-based stalls. Formalizes reconfiguration consistency, provides transactional guarantees for parallel, fault-tolerant dataflows, and cuts reconfiguration latency versus epoch-based schedulers. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID: 13290
Venue: VLDB
Year: 2023
Pagerank: 5.093636e-05
Overall Rank: 11,443 | 21.50%
DOI: 10.14778/3565816.3565827

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

1. Zuozhi Wang (University of California Irvine)
2. Shengquan Ni (University of California Irvine)
3. Avinash Kumar (University of California Irvine)
4. Chen Li (University of California Irvine)

BibTeX Citation

@article{wang_vldb23,
        title = {{Fries: Fast and Consistent Runtime Reconfiguration in Dataflow Systems with Transactional Guarantees}},
        author = {Wang, Zuozhi and Ni, Shengquan and Kumar, Avinash and Li, Chen},
        journal = {PVLDB},
        series = {{VLDB} '23},
        volume = {16},
        number = {2},
        pages = {256--268},
        doi = {10.14778/3565816.3565827},
        url = {https://doi.org/10.14778/3565816.3565827},
        year = {2023}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
8,916	Texera: A System for Collaborative and Interactive Data Analytics Using Workflows	2024	VLDB	5.3483178e-05

Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
361	The Dataflow Model: A Practical Approach to Balancing Correctness, Latency, and Cost in Massive-Scale, Unbounded, Out-of-Order Data Processing	2015	VLDB	0.00020138717
710	Trill: A High-Performance Incremental Query Processor for Diverse Analytics	2015	VLDB	0.00014715033
983	Integrating Scale Out and Fault Tolerance in Stream Processing using Operator State Management	2013	SIGMOD	0.0001283214
1,190	Structured Streaming: A Declarative API for Real-Time Applications in Apache Spark	2018	SIGMOD	0.00011743246
1,422	State Management in Apache Flink: Consistent Stateful Distributed Stream Processing	2017	VLDB	0.00010823039
1,915	S-Store: Streaming Meets Transaction Processing	2015	VLDB	9.4884706e-05
3,117	Chi: A Scalable and Programmable Control Plane for Distributed Stream Processing Systems	2018	VLDB	7.7382559e-05
3,531	Megaphone: Latency-conscious state migration for distributed streaming dataflows	2019	VLDB	7.337549e-05
4,279	Rhino: Efficient Management of Very Large Distributed State for Stream Processing Engines	2020	SIGMOD	6.7865878e-05
6,680	Beyond Analytics: The Evolution of Stream Processing Systems	2020	SIGMOD	5.8049764e-05
8,090	Amber: A Debuggable Dataflow System Based on the Actor Model	2020	VLDB	5.4890583e-05

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