De, Maio V and Kecskeméti, Gábor and Prodan, R (2016) An Improved Model for Live Migration in Data Centre Simulators. In: 16th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing. IEEE Computer Society, New York, pp. 527-531. ISBN 978-1-5090-2453-7 10.1109/CCGrid.2016.41

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Abstract

Due to the difficulty of employing real data centres' infrastructure for assessing the effectiveness of energy-aware algorithms, many researchers resort on using Cloud simulators. These tools require precise and detailed models for virtualized data centres in order to deliver accurate results. In recent years, many models have been proposed, but most of them either do not consider energy consumption related to virtual machine (VM) migration or ignore some of the energy-impacting components (e.g. CPU, network, storage). In this paper, we propose a new model for data centre energy consumption that takes into account these omitted components. We implement this model in a framework that combines two Cloud simulators: GroudSim that provides the Cloud management side, and DISSECT-CF that provides the internal infrastructure side. We evaluated our model in a comprehensive set of scenarios and obtained an accuracy between 8% and 22% for instantaneous power consumption, and between 8% and 25% for energy consumption.

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