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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
h2c9f6dc1ae6ca151
Venue
SIGMOD
Year
2020
Pagerank
6.7751787e-05
Overall Rank
4,129 | 72.33%
DOI
10.1145/3318464.3389723
Incoming Non-self Citations Over Time
Authors
1.
Bonaventura Del Monte
(German National Research Center for Information Technology; Technical University of Berlin)
2.
Steffen Zeuch
(German National Research Center for Information Technology; Technical University of Berlin)
3.
Tilmann Rabl
(Hasso Plattner Institute)
4.
Volker Markl
(German National Research Center for Information Technology; Technical University of Berlin)
BibTeX Citation
Copy BibTeX
@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}
}
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2025
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11,576
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2024
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4.9605343e-05
11,805
Fries: Fast and Consistent Runtime Reconfiguration in Dataflow Systems with Transactional Guarantees
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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
219
MillWheel: Fault-Tolerant Stream Processing at Internet Scale
2013
VLDB
0.0002429959
328
The Dataflow Model: A Practical Approach to Balancing Correctness, Latency, and Cost in Massive-Scale, Unbounded, Out-of-Order Data Processing
2015
VLDB
0.00020889528
549
Faster: A Concurrent Key-Value Store with In-Place Updates
2018
SIGMOD
0.00016530268
973
Integrating Scale Out and Fault Tolerance in Stream Processing using Operator State Management
2013
SIGMOD
0.00012734154
1,244
Dhalion: Self-Regulating Stream Processing in Heron
2017
VLDB
0.00011363001
1,409
State Management in Apache Flink: Consistent Stateful Distributed Stream Processing
2017
VLDB
0.00010732706
1,785
Samza: Stateful Scalable Stream Processing at LinkedIn
2017
VLDB
9.6438157e-05
3,043
Chi: A Scalable and Programmable Control Plane for Distributed Stream Processing Systems
2018
VLDB
7.7045781e-05
3,380
Dynamic Plan Migration for Continuous Queries Over Data Streams
2004
SIGMOD
7.3415892e-05
3,409
Megaphone: Latency-conscious state migration for distributed streaming dataflows
2019
VLDB
7.3076317e-05
5,363
The NebulaStream Platform: Data and Application Management for the Internet of Things
2020
CIDR
6.1475521e-05
6,240
Providing Streaming Joins as a Service at Facebook
2018
VLDB
5.8234435e-05
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