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Minimizing Cost by Reducing Scaling Operations in Distributed Stream Processing

Summary: Reduces scaling frequency in elastic distributed stream processing by pre-filtering workload signals with signal-processing. Real-world testbed validation and break-even cost analysis show elasticity preserved with lower scaling overhead. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12000
Venue
VLDB
Year
2019
Pagerank
4.1945683e-05
Overall Rank
11,695 | 18.64%
DOI
10.14778/3317315.3317316

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