2016 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid) (2016)
May 16, 2016 to May 19, 2016
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 notconsiderenergyconsumptionrelatedtovirtualmachine(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.
Cloud computing, Energy consumption, Computational modeling, Data models, Load modeling, Benchmark testing, Bandwidth
V. D. Maio, G. Kecskemeti and R. Prodan, "An Improved Model for Live Migration in Data Centre Simulators," 2016 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid)(CCGRID), Cartagena, Colombia, 2016, pp. 527-530.