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Database Workload Capacity Planning using Time Series Analysis and Machine Learning

Summary: Time-series analysis with supervised ML to forecast resources for deeper DB layers - clustered DBs, apps, and transaction groups. Identifies recurring patterns and shocks to reduce forecast complexity and improve accuracy for complex workloads. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5900
Venue
SIGMOD
Year
2020
Pagerank
4.9321997e-05
Overall Rank
6,768 | 52.92%
DOI
10.1145/3318464.3386140

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

Rank Cited Paper Year Venue Pagerank
3,122 Dynamic Workload Management for Very Large Data Warehouses – Juggling Feathers and Bowling Balls 2007 VLDB 7.5264988e-05
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