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)
Incoming Non-self Citations Over Time
Authors
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,435 | Real-time Workload Pattern Analysis for Large-scale Cloud Databases | 2023 | VLDB | 7.0946114e-05 |
| 4,547 | Database-Agnostic Workload Management | 2019 | CIDR | 6.0904384e-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.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,309 | On Predictive Modeling for Optimizing Transaction Execution in Parallel OLTP Systems | 2012 | VLDB | 9.0630462e-05 |
| 3,102 | Oracle Database Replay | 2008 | SIGMOD | 7.5604346e-05 |
| 3,991 | Mind the Gap: Large-Scale Frequent Sequence Mining | 2013 | SIGMOD | 6.5529781e-05 |
| 4,280 | Primitives for Workload Summarization and Implications for SQL | 2003 | VLDB | 6.28375e-05 |
| 7,736 | Mining Statistically Significant Substrings using the Chi-Square Statistic | 2012 | VLDB | 4.6597633e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,469 | Comprehensive and Efficient Workload Compression | 2021 | VLDB | 6.1535623e-05 |
| 4,075 | Towards Predicting Query Execution Time for Concurrent and Dynamic Database Workloads | 2013 | VLDB | 6.4699689e-05 |
| 8,553 | A Testbed for Managing Dynamic Mixed Workloads | 2009 | VLDB | 4.4893996e-05 |
| 6,770 | Database Workload Capacity Planning using Time Series Analysis and Machine Learning | 2020 | SIGMOD | 4.9274644e-05 |
| 9,004 | DBSeer: Pain-free Database Administration through Workload Intelligence | 2015 | VLDB | 4.4074927e-05 |
| 495 | Automatic SQL Tuning in Oracle 10g | 2004 | VLDB | 0.00021712703 |
| 760 | Automatic Performance Diagnosis and Tuning in Oracle | 2005 | CIDR | 0.00017003914 |
| 3,435 | Real-time Workload Pattern Analysis for Large-scale Cloud Databases | 2023 | VLDB | 7.0946114e-05 |
| 4,547 | Database-Agnostic Workload Management | 2019 | CIDR | 6.0904384e-05 |
| 5,645 | Database Workload Characterization with Query Plan Encoders | 2022 | VLDB | 5.3928148e-05 |