JOURNAL ARTICLE

Lifetime-Aware Cloud Data Centers: Models and Performance Evaluation

Luca ChiaraviglioAntonio CianfraniM. ListantiWilliam LiuMarco Polverini

Year: 2016 Journal:   Energies Vol: 9 (6)Pages: 470-470   Publisher: Multidisciplinary Digital Publishing Institute

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:
Cloud computing Computer science Cloud server Power (physics) Failure rate Server Data center State (computer science) Server farm Computer network Reliability engineering Distributed computing Operating system Client–server model Engineering

Metrics

8
Cited By
3.98
FWCI (Field Weighted Citation Impact)
22
Refs
0.94
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Cloud Computing and Resource Management
Physical Sciences →  Computer Science →  Information Systems
IoT and Edge/Fog Computing
Physical Sciences →  Computer Science →  Computer Networks and Communications
Green IT and Sustainability
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
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