Abstract
In recent work, we proposed a flexible simulation framework (using AnyLogic) for the trade-off. analysis of power and performance in data centres. We now extend this framework with a versatile module to study the effect of advanced power management strategies based on both power and performance measurement data collected during system operation. this allows us to study the effect of power management in more detail by taking a wide variety of state information variables into account. the paper includes examples of several power management strategies presented in the literature (and extensions thereof). By enabling power management, our more advanced strategies show energy consumption reductions of up to 55% for a typical data centre workload for a small 30 servers cluster, while performance is kept intact and Service-Level Agreements violations are minimised.
| Original language | English |
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| Title of host publication | Proceedings of the 8th International Conference on Future Energy Systems, e-Energy 2017 |
| Place of Publication | New York, NY, USA |
| Publisher | Association for Computing Machinery |
| Pages | 284-289 |
| Number of pages | 6 |
| ISBN (Print) | 9781450350365 |
| DOIs | |
| Publication status | Published - 16 May 2017 |
| Externally published | Yes |
| Event | ACM International Conference on Future Energy Systems, e-Energy 2017 - Shatin, Hong Kong Duration: 16 May 2017 → 19 May 2017 Conference number: 8 |
Conference
| Conference | ACM International Conference on Future Energy Systems, e-Energy 2017 |
|---|---|
| Country/Territory | Hong Kong |
| City | Shatin |
| Period | 16/05/17 → 19/05/17 |
Keywords
- Agent-based simulation
- Data centre
- Discrete-event simulation
- Performance
- Power
- Power management
- Specification
- Strategies