@misc{FunkenTscherner2019,
  author    = {Funken, Matthias and Tscherner, Michael},
  title     = {Jahresbericht 2018 des Rechenzentrums der Universit{\"a}t W{\"u}rzburg},
  edition   = {1. Auflage},
  organization    = {Rechenzentrum (Universit{\"a}t W{\"u}rzburg)},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-188265},
  pages     = {76},
  year      = {2019},
  abstract  = {Eine {\"U}bersicht {\"u}ber die Aktivit{\"a}ten des Rechenzentrums im Jahr 2018.},
  subject      = {Julius-Maximilians-Universit{\"a}t W{\"u}rzburg},
  language  = {de}
}
@misc{FunkenTscherner2018,
  author    = {Funken, Matthias and Tscherner, Michael},
  title     = {Jahresbericht 2017 des Rechenzentrums der Universit{\"a}t W{\"u}rzburg},
  edition   = {1. Auflage},
  organization    = {Rechenzentrum (Universit{\"a}t W{\"u}rzburg)},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-168537},
  pages     = {68},
  year      = {2018},
  abstract  = {Eine {\"U}bersicht {\"u}ber die Aktivit{\"a}ten des Rechenzentrums im Jahr 2017.},
  subject      = {Julius-Maximilians-Universit{\"a}t W{\"u}rzburg},
  language  = {de}
}
@misc{Rossa2005,
  author    = {Rossa, Christian},
  title     = {Jahresbericht 2004},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-13278},
  year      = {2005},
  abstract  = {Jahresbericht des Rechenzentrums der Universit{\"a}t W{\"u}rzburg 2004},
  language  = {de}
}
@misc{Rossa2006,
  author    = {Rossa, Christian},
  title     = {Jahresbericht 2005},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-20553},
  year      = {2006},
  abstract  = {Jahresbericht 2005 des Rechenzentrums der Universit{\"a}t W{\"u}rzburg},
  language  = {de}
}
@misc{Rossa2002,
  author    = {Rossa, Christian},
  title     = {Jahresbericht 2000/2001},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-4317},
  year      = {2002},
  abstract  = {Jahresbericht des Rechenzentrums der Universit{\"a}t W{\"u}rzburg 2000/2001},
  subject      = {W{\"u}rzburg ; Universit{\"a}t ; Rechenzentrum ; Bericht},
  language  = {de}
}
@misc{Rossa2004,
  author    = {Rossa, Christian},
  title     = {Jahresbericht 2003},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-9249},
  year      = {2004},
  abstract  = {Jahresbericht 2003 des Rechenzentrums der Universit{\"a}t W{\"u}rzburg},
  subject      = {W{\"u}rzburg ; Universit{\"a}t ; Rechenzentrum ; Bericht},
  language  = {de}
}
@misc{Rossa2003,
  author    = {Rossa, Christian},
  title     = {Jahresbericht 2002},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-5664},
  year      = {2003},
  abstract  = {Jahresbericht 2002 des Rechenzentrums der Universit{\"a}t W{\"u}rzburg},
  subject      = {W{\"u}rzburg ; Universit{\"a}t ; Rrechenzentrum ; Bericht},
  language  = {de}
}
@phdthesis{Schmitt2022,
  author    = {Schmitt, Norbert},
  title     = {Measurement, Modeling, and Emulation of Power Consumption of Distributed Systems},
  doi       = {10.25972/OPUS-27658},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-276582},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2022},
  abstract  = {Today's cloud data centers consume an enormous amount of energy, and energy consumption will rise in the future. An estimate from 2012 found that data centers consume about 30 billion watts of power, resulting in about 263TWh of energy usage per year. The energy consumption will rise to 1929TWh until 2030. This projected rise in energy demand is fueled by a growing number of services deployed in the cloud. 50\% of enterprise workloads have been migrated to the cloud in the last decade so far. Additionally, an increasing number of devices are using the cloud to provide functionalities and enable data centers to grow. Estimates say more than 75 billion IoT devices will be in use by 2025. The growing energy demand also increases the amount of CO2 emissions. Assuming a CO2-intensity of 200g CO2 per kWh will get us close to 227 billion tons of CO2. This emission is more than the emissions of all energy-producing power plants in Germany in 2020. However, data centers consume energy because they respond to service requests that are fulfilled through computing resources. Hence, it is not the users and devices that consume the energy in the data center but the software that controls the hardware. While the hardware is physically consuming energy, it is not always responsible for wasting energy. The software itself plays a vital role in reducing the energy consumption and CO2 emissions of data centers. The scenario of our thesis is, therefore, focused on software development. Nevertheless, we must first show developers that software contributes to energy consumption by providing evidence of its influence. The second step is to provide methods to assess an application's power consumption during different phases of the development process and to allow modern DevOps and agile development methods. We, therefore, need to have an automatic selection of system-level energy-consumption models that can accommodate rapid changes in the source code and application-level models allowing developers to locate power-consuming software parts for constant improvements. Afterward, we need emulation to assess the energy efficiency before the actual deployment.},
  subject      = {Leistungsbedarf},
  language  = {en}
}
@misc{OPUS4-15355,
  title     = {Jahresbericht 2016 des Rechenzentrums der Universit{\"a}t W{\"u}rzburg},
  edition   = {1. Auflage},
  organization    = {Rechenzentrum (Universit{\"a}t W{\"u}rzburg)},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-153558},
  pages     = {72},
  year      = {2017},
  abstract  = {Das Dokument umfasst eine j{\"a}hrliche Zusammenfassung der Aktivit{\"a}ten des Rechenzentrums als zentraler IT-Dienstleister der Universit{\"a}t W{\"u}rzburg},
  subject      = {Jahresbericht},
  language  = {de}
}