Stochastic Petri Net Models for the Analysis of Trade-Offs in Data Centres with Power Management

Björn Frits Postema; Boudewijn R.H.M. Haverkort

doi:10.1007/978-3-319-15786-3_4

Stochastic Petri Net Models for the Analysis of Trade-Offs in Data Centres with Power Management

Björn Frits Postema, Boudewijn R.H.M. Haverkort

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

2 Citations (Scopus)

2 Downloads (Pure)

Abstract

Due to the growth in energy consumption of data centres, the demand for optimal usage of servers has become a relevant topic. This paper contributes to the early design phases of data centres by providing insight into the power-performance trade-off that arises from power management. This paper proposes a flexible set of stochastic Petri net models which can be used easily to study the trade-off between performance and power consumption.

Original language	Undefined
Title of host publication	Proceedings of the International Workshop on Energy-Efficient Data Centres, E2DC 2014
Editors	Sonja Klingert, Marta Chinnici, Milagros Rey Porto
Place of Publication	London
Publisher	Springer
Pages	52-67
Number of pages	16
ISBN (Print)	978-3-319-15785-6
DOIs	https://doi.org/10.1007/978-3-319-15786-3_4
Publication status	Published - 10 Jun 2014
Event	International Workshop on Energy-Efficient Data Centres, E2DC 2014 - Cambridge, United Kingdom Duration: 10 Jun 2014 → 10 Jun 2014

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer Verlag
Volume	8945
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Workshop

Workshop	International Workshop on Energy-Efficient Data Centres, E2DC 2014
Period	10/06/14 → 10/06/14
Other	10 Jun 2014

Keywords

EWI-25835
Data centre
Efficiency
Trade-offs
Performance
METIS-312516
Numerical models
Power
Power Management
IR-97821
Stochastic Petri Nets

Access to Document

10.1007/978-3-319-15786-3_4

http://eprints.eemcs.utwente.nl/secure2/25835/01/e2dcpaper-publishedversion.pdf

Cite this

Postema, B. F., & Haverkort, B. R. H. M. (2014). Stochastic Petri Net Models for the Analysis of Trade-Offs in Data Centres with Power Management. In S. Klingert, M. Chinnici, & M. Rey Porto (Eds.), Proceedings of the International Workshop on Energy-Efficient Data Centres, E2DC 2014 (pp. 52-67). (Lecture Notes in Computer Science; Vol. 8945). Springer. https://doi.org/10.1007/978-3-319-15786-3_4

Postema, Björn Frits ; Haverkort, Boudewijn R.H.M. / Stochastic Petri Net Models for the Analysis of Trade-Offs in Data Centres with Power Management. Proceedings of the International Workshop on Energy-Efficient Data Centres, E2DC 2014. editor / Sonja Klingert ; Marta Chinnici ; Milagros Rey Porto. London : Springer, 2014. pp. 52-67 (Lecture Notes in Computer Science).

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abstract = "Due to the growth in energy consumption of data centres, the demand for optimal usage of servers has become a relevant topic. This paper contributes to the early design phases of data centres by providing insight into the power-performance trade-off that arises from power management. This paper proposes a flexible set of stochastic Petri net models which can be used easily to study the trade-off between performance and power consumption.",

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Postema, BF & Haverkort, BRHM 2014, Stochastic Petri Net Models for the Analysis of Trade-Offs in Data Centres with Power Management. in S Klingert, M Chinnici & M Rey Porto (eds), Proceedings of the International Workshop on Energy-Efficient Data Centres, E2DC 2014. Lecture Notes in Computer Science, vol. 8945, Springer, London, pp. 52-67, International Workshop on Energy-Efficient Data Centres, E2DC 2014, 10/06/14. https://doi.org/10.1007/978-3-319-15786-3_4

Stochastic Petri Net Models for the Analysis of Trade-Offs in Data Centres with Power Management. / Postema, Björn Frits; Haverkort, Boudewijn R.H.M.

Proceedings of the International Workshop on Energy-Efficient Data Centres, E2DC 2014. ed. / Sonja Klingert; Marta Chinnici; Milagros Rey Porto. London : Springer, 2014. p. 52-67 (Lecture Notes in Computer Science; Vol. 8945).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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