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)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Hani Al-Sayeh (Technical University of Ilmenau)
- 2. Muhammad Attahir Jibril (Technical University of Ilmenau)
- 3. Muhammad Waleed Bin Saeed (Technical University of Ilmenau)
- 4. Kai-Uwe Sattler (Technical University of Ilmenau)
BibTeX Citation
@article{alsayeh_vldb22,
title = {{SparkCAD: Caching Anomalies Detector for Spark Applications}},
author = {Al-Sayeh, Hani and Jibril, Muhammad Attahir and Saeed, Muhammad Waleed Bin and Sattler, Kai-Uwe},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {12},
pages = {3694--3697},
doi = {10.14778/3554821.3554877},
url = {https://doi.org/10.14778/3554821.3554877},
year = {2022}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,264 | Agile-Ant: Self-managing Distributed Cache Management for Cost Optimization of Big Data Applications | 2024 | VLDB | 5.093636e-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 |
|---|---|---|---|---|
| 1,686 | Black or White? How to Develop an AutoTuner for Memory-based Analytics | 2020 | SIGMOD | 0.00010008686 |
| 11,539 | Juggler: Autonomous Cost Optimization and Performance Prediction of Big Data Applications | 2022 | SIGMOD | 5.093636e-05 |
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