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perccom_summer_school_2018:group1:start [2018/06/05 13:07]
ger4ldine [Thesis Presentations Group 1]
perccom_summer_school_2018:group1:start [2018/06/09 19:22] (current)
ger4ldine
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 **Supervisor(s):** Eric Rondeau; Jean-Philippe Georges\\ **Supervisor(s):** Eric Rondeau; Jean-Philippe Georges\\
 **Hosting Institution:** Université de Lorraine\\ **Hosting Institution:** Université de Lorraine\\
-**Abstract:** To date, data center infrastructures are critical to manage the ever-increasing volume of data, consuming excessive amounts of energy in the process. Such concerns are an ongoing topic of research, which have resulted in energy-aware and cost-effective solutions based on routing and load balancing algorithms, energy and cost models, virtualization, and techniques for hardware and software optimization. However, the monitoring, optimization and energy management processes are becoming more challenging because of the difficult cooperation between the electric and the IT networks. This generates an opportunity for Smart Grid technology to provide an interconnection between the two. With the help of “smart” sensors and meters, real-time grid information from the generation plant, transmission lines, energy sources distribution, and end user’s consumption can be provided as metrics into an intelligent system, in order to optimize the energy consumption of a data center facility.+**Abstract:** To date, data center infrastructures are critical to manage the ever-increasing volume of data, consuming excessive amounts of energy in the process. This concern is the subject of several research and development projects, which have resulted in energy-aware and cost-effective solutions based on routing and load balancing algorithms, energy and cost models, virtualization, and techniques for hardware and software optimization. However, the monitoring, optimization and energy management processes are becoming more challenging because of the difficult cooperation between the electric and the IT networks. This generates an opportunity for Smart Grid technology to provide an interconnection between the two. With the help of “smart” sensors and meters, real-time grid information from the generation plant, transmission lines, energy sources distribution, and end user’s consumption can be provided as metrics into an intelligent system, in order to optimize the energy consumption of a data center facility.
 This paper proposes a framework that integrates the information coming from the Smart Grid metrics into an ICT system , in order to improve the overall sustainability of a data center infrastructure and evaluate the impact on a green or cost-effective scenario. Moreover, this approach could enable new techniques for analyzing, acting, and making decisions based on the metrics and information collected.\\ This paper proposes a framework that integrates the information coming from the Smart Grid metrics into an ICT system , in order to improve the overall sustainability of a data center infrastructure and evaluate the impact on a green or cost-effective scenario. Moreover, this approach could enable new techniques for analyzing, acting, and making decisions based on the metrics and information collected.\\
 **Paper:** [[https://www.doria.fi/|Insert link to thesis paper]].\\ **Paper:** [[https://www.doria.fi/|Insert link to thesis paper]].\\