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 |
|---|---|---|---|---|
| 716 | Performance Prediction for Concurrent Database Workloads | 2011 | SIGMOD | 0.00017623897 |
| 866 | Profiling, What-if Analysis, and Cost-based Optimization of MapReduce Programs | 2011 | VLDB | 0.00015771189 |
| 981 | Interactive Analytical Processing in Big Data Systems: A Cross-Industry Study of MapReduce Workloads | 2012 | VLDB | 0.00014866268 |
| 1,017 | Robust Estimation of Resource Consumption for SQL Queries using Statistical Techniques | 2012 | VLDB | 0.00014627121 |
| 1,768 | ParaTimer: A Progress Indicator for MapReduce DAGs | 2010 | SIGMOD | 0.00010608933 |
| 2,069 | Towards Automated Performance Tuning For Complex Workloads | 1994 | VLDB | 9.6356256e-05 |
| 6,478 | A Statistical Approach Towards Robust Progress Estimation | 2012 | VLDB | 5.040535e-05 |
| 8,553 | A Testbed for Managing Dynamic Mixed Workloads | 2009 | VLDB | 4.4893996e-05 |
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