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Minimizing Cost by Reducing Scaling Operations in Distributed Stream Processing

Summary: Reduces costly, disruptive autoscaling in elastic stream processors by filtering workload/resource signals to suppress reactions to transient changes and over-scaling. Real-world evaluation and break-even analysis quantify resource, gap, and economic benefits. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
12188
Venue
VLDB
Year
2019
Pagerank
5.093636e-05
Overall Rank
11,890 | 18.43%
DOI
10.14778/3317315.3317316

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Authors

BibTeX Citation

@article{borkowski_vldb19,
        title = {{Minimizing Cost by Reducing Scaling Operations in Distributed Stream Processing}},
        author = {Borkowski, Michael and Hochreiner, Christoph and Schulte, Stefan},
        journal = {PVLDB},
        series = {{VLDB} '19},
        volume = {12},
        number = {7},
        pages = {724--737},
        doi = {10.14778/3317315.3317316},
        url = {https://doi.org/10.14778/3317315.3317316},
        year = {2019}
}

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