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)
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Authors
- 1. Moritz Hoffmann (ETH Zurich)
- 2. Andrea Lattuada (ETH Zurich)
- 3. Frank McSherry (ETH Zurich)
- 4. Vasiliki Kalavri (ETH Zurich)
- 5. John Liagouris (ETH Zurich)
- 6. Timothy Roscoe (ETH Zurich)
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}
}
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