Analyzing Efficient Stream Processing on Modern Hardware
Summary: Evaluates SPEs on modern hardware, revealing underutilization of multicore CPUs and fast networks in shared-nothing designs. Proposes hardware-aware optimizations—code generation, operator fusion, batch parallelism, and windowing—that yield up to 100x single-node throughput. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Steffen Zeuch (German National Research Center for Information Technology)
- 2. Bonaventura Del Monte (German National Research Center for Information Technology)
- 3. Jeyhun Karimov (German National Research Center for Information Technology)
- 4. Clemens Lutz (German National Research Center for Information Technology)
- 5. Manuel Renz (German National Research Center for Information Technology)
- 6. Jonas Traub (Technical University of Berlin)
- 7. Sebastian Breß (German National Research Center for Information Technology; Technical University of Berlin)
- 8. Tilmann Rabl (German National Research Center for Information Technology; Technical University of Berlin)
- 9. Volker Markl (German National Research Center for Information Technology; Technical University of Berlin)
BibTeX Citation
@article{zeuch_vldb19,
title = {{Analyzing Efficient Stream Processing on Modern Hardware}},
author = {Zeuch, Steffen and Del Monte, Bonaventura and Karimov, Jeyhun and Lutz, Clemens and Renz, Manuel and Traub, Jonas and Breß, Sebastian and Rabl, Tilmann and Markl, Volker},
journal = {PVLDB},
series = {{VLDB} '19},
volume = {12},
number = {5},
pages = {516--530},
doi = {10.14778/3303753.3303758},
url = {https://doi.org/10.14778/3303753.3303758},
year = {2019}
}
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