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Megaphone: Latency-conscious state migration for distributed streaming dataflows

Summary: Megaphone enables latency-conscious state migration for streaming dataflows by subdividing migrations into configurable granularity to limit spikes. Ahead-of-time prep; unmodified Timely dataflow library with a compatible interface, delivering large latency reductions and modest overhead. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11990
Venue
VLDB
Year
2019
Pagerank
7.337549e-05
Overall Rank
3,531 | 75.78%
DOI
10.14778/3329772.3329777

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{hoffmann_vldb19,
        title = {{Megaphone: Latency-conscious state migration for distributed streaming dataflows}},
        author = {Hoffmann, Moritz and Lattuada, Andrea and McSherry, Frank and Kalavri, Vasiliki and Liagouris, John and Roscoe, Timothy},
        journal = {PVLDB},
        series = {{VLDB} '19},
        volume = {12},
        number = {9},
        pages = {1002--1015},
        doi = {10.14778/3329772.3329777},
        url = {https://doi.org/10.14778/3329772.3329777},
        year = {2019}
}

Incoming Citations (Sorted by Pagerank)

Showing 15 of 15 citing papers.

Rank Citing Paper Year Venue Pagerank
4,279 Rhino: Efficient Management of Very Large Distributed State for Stream Processing Engines 2020 SIGMOD 6.7865878e-05
4,389 Consistency and Completeness: Rethinking Distributed Stream Processing in Apache Kafka 2021 SIGMOD 6.7304854e-05
5,821 StreamOps: Cloud-Native Runtime Management for Streaming Services in ByteDance 2023 VLDB 6.07598e-05
6,680 Beyond Analytics: The Evolution of Stream Processing Systems 2020 SIGMOD 5.8049764e-05
8,341 Tackling Hardware/Software co-design from a database perspective 2020 CIDR 5.4486102e-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
10,039 Towards Resource-adaptive Query Execution in Cloud Native Databases 2024 CIDR 5.1723558e-05
10,337 Accelerating Stream Processing Engines via Hardware Offloading 2026 SIGMOD 5.093636e-05
10,551 APEROL: Adaptive Parallel Edge-to-cloud Runtime Optimization for Layered Workflow Execution 2026 VLDB 5.093636e-05
10,573 Incremental Stream Query Deployment under Continuous Infrastructure Changes in the Cloud-Edge Continuum 2026 VLDB 5.093636e-05
10,579 Meerkat: Scalable, Network-Aware Failure Recovery for the Internet of Things 2026 VLDB 5.093636e-05
10,633 Transactional Cloud Applications Go with the (Data)Flow 2025 CIDR 5.093636e-05
10,782 Styx: Transactional Stateful Functions on Streaming Dataflows 2025 SIGMOD 5.093636e-05
11,443 Fries: Fast and Consistent Runtime Reconfiguration in Dataflow Systems with Transactional Guarantees 2023 VLDB 5.093636e-05
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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.

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