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Current large scale IT systems are becoming pervasive. Data centers are used from web searches to protein analysis. Energy consumption of these systems is part of the fastest growing of the energy consumption systems. As an example, worldwide cloud computing systems’ consumption fits between the electricity consumption of Germany and Russia and would rank 6th as a country. With the rise of smart cities, and the connexion of all objects from fridges to heaters, IT systems energy consumption will rise even faster. With the rise of high level services, from Internet of Things, to HPC systems passing through Cloud systems, more and more possibilities are offered and the quality of the decision systems have a large impact on their energy consumption. Consuming such quantities of energy produces a lot of heat. Thermal-aware management aims to improve power consumption efficiency by coordinating resource management and thermal based decisions.

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重要日期

2014-08-15
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征稿范围

The main topics to be covered by this workshop include (but are not limited to): Energy-aware scheduling for Data Centers, Grid, Cloud and IoT Thermal-aware scheduling of Data Centers, Grid, Cloud and IoT Resources provisioning and scheduling Resources management and Quality of service Energy-aware metrics for Data Centers, Grid, Cloud and IoT Data Center optimization Cloud optimization Energy-aware simulations Thermal-aware simulations Energy- and Thermal models of Data Centers, Grid, Cloud and IoT Resources prediction Applications characterization Tools and simulators for resource management Energy- and Thermal-aware runtimes for Data Centers, Cloud and IoT Return of experiment on improving energy efficiency of Data Centers or Clouds.
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重要日期
  • 会议日期

    11月03日

    2014

    11月05日

    2014

  • 08月15日 2014

    初稿截稿日期

  • 11月05日 2014

    注册截止日期

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