A tool based on traffic traces and stochastic monotonicity to analyze data centers and their energy consumption

A tool based on traffic traces and stochastic monotonicity to analyze data centers and their energy consumption

We present a tool to study the trade-off between energy consumption and performance evaluation. The tool uses real traffic traces to model arrivals, and it allows to consider general discrete arrival processes. Some servers are switched on (resp. off) if the monitored QoS becomes less (resp. more) t...

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Bibliographic Details
Main Authors: Marziyeh Bayati, Mohammed Dahmoune, Jean-Michel Fourneau, Nihal Pekergin, Dimitrios Vekris
Format: Article
Language:English
Published: European Alliance for Innovation (EAI) 2016-12-01
Series:EAI Endorsed Transactions on Energy Web
Subjects:
queues
energy saving
discrete stochastic process
numerical analysis
data center
Online Access:http://eudl.eu/doi/10.4108/eai.14-12-2015.2262652

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