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Rhino: Efficient Management of Very Large Distributed State for Stream Processing Engines

Summary: Rhino is a library for efficient reconfiguration of TB-scale distributed state in stream engines. It provides handover and state-migration enabling consistent, low-overhead reconfigurations, delivering 15x faster reconfigs and 1000x latency reduction. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6000
Venue
SIGMOD
Year
2020
Pagerank
6.7865878e-05
Overall Rank
4,279 | 70.65%
DOI
10.1145/3318464.3389723

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{monte_sigmod20,
        title = {{Rhino: Efficient Management of Very Large Distributed State for Stream Processing Engines}},
        author = {Del Monte, Bonaventura and Zeuch, Steffen and Rabl, Tilmann and Markl, Volker},
        series = {{SIGMOD} '20},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3318464.3389723},
        url = {https://dl.acm.org/doi/10.1145/3318464.3389723},
        year = {2020}
}

Incoming Citations (Sorted by Pagerank)

Showing 13 of 13 citing papers.

Rank Citing Paper Year Venue Pagerank
5,756 Clonos: Consistent Causal Recovery for Highly-Available Streaming Dataflows 2021 SIGMOD 6.097233e-05
5,821 StreamOps: Cloud-Native Runtime Management for Streaming Services in ByteDance 2023 VLDB 6.07598e-05
7,814 Rethinking Stateful Stream Processing with RDMA 2022 SIGMOD 5.5389009e-05
8,258 Correctness in Stream Processing: Challenges and Opportunities 2022 CIDR 5.4574671e-05
9,633 Scabbard: Single-Node Fault-Tolerant Stream Processing 2022 VLDB 5.2434488e-05
9,898 ContTune: Continuous Tuning by Conservative Bayesian Optimization for Distributed Stream Data Processing Systems 2023 VLDB 5.1997534e-05
10,102 Distributed Stream KNN Join 2021 SIGMOD 5.1488731e-05
10,337 Accelerating Stream Processing Engines via Hardware Offloading 2026 SIGMOD 5.093636e-05
10,573 Incremental Stream Query Deployment under Continuous Infrastructure Changes in the Cloud-Edge Continuum 2026 VLDB 5.093636e-05
10,782 Styx: Transactional Stateful Functions on Streaming Dataflows 2025 SIGMOD 5.093636e-05
11,176 Fault Tolerance Placement in the Internet of Things 2024 SIGMOD 5.093636e-05
11,443 Fries: Fast and Consistent Runtime Reconfiguration in Dataflow Systems with Transactional Guarantees 2023 VLDB 5.093636e-05
11,628 AnyDB: An Architecture-less DBMS for Any Workload 2021 CIDR 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 12 of 12 cited papers.

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

Rank Cited Paper Year Venue Pagerank
224 MillWheel: Fault-Tolerant Stream Processing at Internet Scale 2013 VLDB 0.00024130894
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
614 Faster: A Concurrent Key-Value Store with In-Place Updates 2018 SIGMOD 0.00015720975
983 Integrating Scale Out and Fault Tolerance in Stream Processing using Operator State Management 2013 SIGMOD 0.0001283214
1,224 Dhalion: Self-Regulating Stream Processing in Heron 2017 VLDB 0.00011596911
1,422 State Management in Apache Flink: Consistent Stateful Distributed Stream Processing 2017 VLDB 0.00010823039
1,895 Samza: Stateful Scalable Stream Processing at LinkedIn 2017 VLDB 9.5260291e-05
3,117 Chi: A Scalable and Programmable Control Plane for Distributed Stream Processing Systems 2018 VLDB 7.7382559e-05
3,321 Dynamic Plan Migration for Continuous Queries Over Data Streams 2004 SIGMOD 7.5216049e-05
3,531 Megaphone: Latency-conscious state migration for distributed streaming dataflows 2019 VLDB 7.337549e-05
5,215 The NebulaStream Platform: Data and Application Management for the Internet of Things 2020 CIDR 6.3124972e-05
6,108 Providing Streaming Joins as a Service at Facebook 2018 VLDB 5.9730511e-05
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