Managing Memory to Meet Multiclass Workload Response Time Goals
Summary: Memory management for multiclass workloads with per-class response-time goals in a DBMS. Monitors per-class reference frequencies and goal-state gaps to steer memory allocation and page replacement, harmonizing with existing policies to avoid performance-goal violations. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Kurt P. Brown
- 2. Michael J. Carey
- 3. Miron Livny
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Semantically Similar Papers
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| 9,743 | Databases in the Era of Memory-Centric Computing | 2025 | CIDR | 4.2897489e-05 |
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| 7,068 | Managing Memory For Real-Time Queries | 1994 | SIGMOD | 4.8438369e-05 |
| 12,427 | Managing Query Compilation Memory Consumption to Improve DBMS Throughput | 2007 | CIDR | 4.1945683e-05 |
| 5,085 | Global Memory Management in Client-Server DBMS Architectures | 1992 | VLDB | 5.7089113e-05 |
| 2,299 | Dynamic Memory Allocation for Multiple-Query Workloads | 1993 | VLDB | 9.0697388e-05 |
| 2,065 | Towards Automated Performance Tuning For Complex Workloads | 1994 | VLDB | 9.6410693e-05 |