Lifetime-Aware Cloud Data Centers: Models and Performance Evaluation

Luca Chiaraviglio, Antonio Cianfrani, Marco Listanti, William Liu and Marco Polverini
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Luca Chiaraviglio: Department of Information, Electronics and Telecommunications, University of Rome Sapienza, Rome 00185, Italy
Antonio Cianfrani: Department of Information, Electronics and Telecommunications, University of Rome Sapienza, Rome 00185, Italy
Marco Listanti: Department of Information, Electronics and Telecommunications, University of Rome Sapienza, Rome 00185, Italy
William Liu: Department of Information Technology and Software Engineering, School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, 55 Wellesley Street East, Auckland 1010, New Zealand
Marco Polverini: Department of Information, Electronics and Telecommunications, University of Rome Sapienza, Rome 00185, Italy

Energies, 2016, vol. 9, issue 6, 1-17

Abstract: We present a model to evaluate the server lifetime in cloud data centers (DCs). In particular, when the server power level is decreased, the failure rate tends to be reduced as a consequence of the limited number of components powered on. However, the variation between the different power states triggers a failure rate increase. We therefore consider these two effects in a server lifetime model, subject to an energy-aware management policy. We then evaluate our model in a realistic case study. Our results show that the impact on the server lifetime is far from negligible. As a consequence, we argue that a lifetime-aware approach should be pursued to decide how and when to apply a power state change to a server.

Keywords: data-centers (DCs); server lifetime models; energy and lifetime trade-off; failure models (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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