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Titlebook: Energy-Efficient Data Centers; Second International Sonja Klingert,Xavier Hesselbach-Serra,Giovanni Gi Conference proceedings 2014 Springer

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Conference proceedings 20142013, held in Berkeley, CA, USA, in May 2013; co-located with SIGCOMM e-Energy 2013. The 8 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on energy and workload measurement; energy management; simulators and control.
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Renewable Energy Aware Data Centres: The Problem of Controlling the Applications Workload to prioritize the utilization of renewable energies over brown energies. Renewable energies tend to be very variable in time (e.g. solar energy), and thus renewable energy aware algorithms tries to schedule the applications running in the data centres accordingly. However, one of the main problems
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Energy Aware Database Managementg databsae management systems (DBMS). Service provision implies a specific quality of service regarding performance or security. Another factor of increasing importance is energy consumption. Although not a top priority for most customers, the cost of energy and thus (indirectly) the cost of service
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Modeling Data Center Building Blocks for Energy-Efficiency and Thermal Simulationscenter complemented by descriptions of their energy efficiency. Proposed building blocks contain hardware and thermodynamic models that can be applied to simulate a data center and to evaluate its energy efficiency. DEBBs are available in an open repository being built by the CoolEmAll project. In t
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A Simulator to Assess Energy-Saving Techniques in Content Distribution Networkstion networks (CDNs). These CDNs are composed of cache servers located in the telco’s data centers close to the end user. The additional cache servers need to be designed for energy efficiency to limit the increase of data-center energy consumption. We analyze real HTTP adaptive-streaming traces fro
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Data Center Smart Grid Integration Considering Renewable Energies and Waste Heat Usagend server consolidation. We assume these technologies as base, but we want DC to profit from local renewable energy sources, reducing CO2 emissions. We propose the idea of integrating DC into smart grid, respecting location dependencies. We present our concept consisting of two individual simulation
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