Abstract
| Original language | English |
|---|---|
| Publisher | Springer International Publishing AG |
| Number of pages | 15 |
| Place of Publication | Switzerland |
| ISBN (Print) | 978-3-319-23266-9 |
| DOIs | |
| Publication status | Published - Aug 2015 |
| Externally published | Yes |
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Keywords
- EWI-26243
- Steady state analysis
- Performance analysis
- Power Management
- Power-performance trade-off
- Data centres
- METIS-314949
- Transient analysis
- Simulation
- IR-98113
- Cascading effect
- Agent-based models
- Discrete-event models
Cite this
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An AnyLogic simulation model for power and performance analysis of data centres. / Postema, Björn Frits; Haverkort, Boudewijn R.H.M.; Beltrán, Marta (Editor); Knottenbelt, William; Bradley, Jeremy (Editor).
15 p. Switzerland : Springer International Publishing AG. 2015, .Research output: Other contribution
TY - GEN
T1 - An AnyLogic simulation model for power and performance analysis of data centres
AU - Postema, Björn Frits
AU - Haverkort, Boudewijn R.H.M.
AU - Knottenbelt, William
A2 - Beltrán, Marta
A2 - Bradley, Jeremy
N1 - eemcs-eprint-26243
PY - 2015/8
Y1 - 2015/8
N2 - In this paper we propose a simulation framework that allows for the analysis of power and performance trade-offs for data centres that save energy via power management. The models are cooperating discrete-event and agent-based models, which enable a variety of data centre configurations, including various infrastructural choices, workload models, (heterogeneous) servers and power management strategies. The capabilities of our modelling and simulation approach is shown with an example of a 200-server cluster. A validation that compares our results, for a restricted model with a previously published numerical model is also provided.
AB - In this paper we propose a simulation framework that allows for the analysis of power and performance trade-offs for data centres that save energy via power management. The models are cooperating discrete-event and agent-based models, which enable a variety of data centre configurations, including various infrastructural choices, workload models, (heterogeneous) servers and power management strategies. The capabilities of our modelling and simulation approach is shown with an example of a 200-server cluster. A validation that compares our results, for a restricted model with a previously published numerical model is also provided.
KW - EWI-26243
KW - Steady state analysis
KW - Performance analysis
KW - Power Management
KW - Power-performance trade-off
KW - Data centres
KW - METIS-314949
KW - Transient analysis
KW - Simulation
KW - IR-98113
KW - Cascading effect
KW - Agent-based models
KW - Discrete-event models
U2 - 10.1007/978-3-319-23267-6_17
DO - 10.1007/978-3-319-23267-6_17
M3 - Other contribution
SN - 978-3-319-23266-9
PB - Springer International Publishing AG
CY - Switzerland
ER -