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Oracle Workload Intelligence

Summary: Oracle Workload Intelligence (WI) models workloads to infer driving processes without overfitting, surfacing code paths for sequence-aware optimizations. It compares models across time to detect shifts, validated on synthetic workloads and customer benchmarks. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5016
Venue
SIGMOD
Year
2015
Pagerank
4.7007801e-05
Overall Rank
7,597 | 47.15%
DOI
10.1145/2723372.2742791

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
3,429 Real-time Workload Pattern Analysis for Large-scale Cloud Databases 2023 VLDB 7.1010535e-05
4,549 Database-Agnostic Workload Management 2019 CIDR 6.0926728e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

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

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