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Pontus: Finding Waves in Data Streams

Summary: Defines waves as deviations in arrival rate; Pontus uses a data-plane preprocessor and a lean control-plane detector. Proposes Multi-Stage Progressive Tracking with Stage Variance Maximization; provable error bounds; P4 implementation yields 842× throughput. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6609
Venue
SIGMOD
Year
2023
Pagerank
4.456315e-05
Overall Rank
8,749 | 39.14%
DOI
10.1145/3588960

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Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
10,034 SieveSketch: A Fine-grained and Adaptive Sketch Framework for Accurate Frequency Estimation 2026 SIGMOD 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
3,751 BurstSketch: Finding Bursts in Data Streams 2021 SIGMOD 6.7888099e-05
4,076 Quantiles over Data Streams: An Experimental Study 2013 SIGMOD 6.4680854e-05
6,593 Out of Many We are One: Measuring Item Batch with Clock-Sketch 2021 SIGMOD 4.9999287e-05
6,790 On-Off Sketch: A Fast and Accurate Sketch on Persistence 2021 VLDB 4.9251439e-05
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