Energy-Utility Function-Based Resource Control for In-Memory Database Systems LIVE
Summary: Energy-utility functions enable OS-level resource control for scalable in-memory DBMS, targeting energy-performance trade-offs at CPU and memory. Demo shows workload and hardware-switching to reveal energy-efficiency gains. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Thomas Kissinger
- 2. Marcus Hähnel
- 3. Till Smejkal
- 4. Dirk Habich
- 5. Hermann Härtig
- 6. Wolfgang Lehner
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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 |
|---|---|---|---|---|
| 338 | Data-Oriented Transaction Execution | 2010 | VLDB | 0.00026973858 |
| 9,721 | Adaptive Energy-Control for In-Memory Database Systems | 2018 | SIGMOD | 4.2965439e-05 |
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