SparkCAD: Caching Anomalies Detector for Spark Applications
Summary: SparkCAD visualizes Spark logical plans to detect caching anomalies in intermediate results. It serves as a developer decision support tool to steer caching choices and avoid performance degradation in complex workflows. (summarized by gpt-5-nano on Feb 09 2026)
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Incoming Citations (Sorted by Pagerank)
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,056 | Agile-Ant: Self-managing Distributed Cache Management for Cost Optimization of Big Data Applications | 2024 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,902 | Black or White? How to Develop an AutoTuner for Memory-based Analytics | 2020 | SIGMOD | 0.00010157713 |
| 11,341 | Juggler: Autonomous Cost Optimization and Performance Prediction of Big Data Applications | 2022 | SIGMOD | 4.1945683e-05 |
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