Workload Management for Big Data Analytics
Summary: Defines workload and request models; monitors performance, resources, and data-access patterns in parallel databases, MapReduce. Presents tools, studies, and techniques to meet workload goals amid failures; surveys MapReduce status and future work. (summarized by gpt-5-nano on Feb 09 2026)
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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 |
|---|---|---|---|---|
| 718 | Performance Prediction for Concurrent Database Workloads | 2011 | SIGMOD | 0.0001763106 |
| 868 | Profiling, What-if Analysis, and Cost-based Optimization of MapReduce Programs | 2011 | VLDB | 0.00015789681 |
| 979 | Interactive Analytical Processing in Big Data Systems: A Cross-Industry Study of MapReduce Workloads | 2012 | VLDB | 0.0001488055 |
| 1,019 | Robust Estimation of Resource Consumption for SQL Queries using Statistical Techniques | 2012 | VLDB | 0.00014625603 |
| 1,770 | ParaTimer: A Progress Indicator for MapReduce DAGs | 2010 | SIGMOD | 0.00010618229 |
| 2,065 | Towards Automated Performance Tuning For Complex Workloads | 1994 | VLDB | 9.6410693e-05 |
| 6,484 | A Statistical Approach Towards Robust Progress Estimation | 2012 | VLDB | 5.0453762e-05 |
| 8,556 | A Testbed for Managing Dynamic Mixed Workloads | 2009 | VLDB | 4.4937074e-05 |
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