Logo des Repositoriums

Auflistung nach Autor:in "Hintemann, Ralph"

1 - 3 von 3
  • Konferenzbeitrag
    Adaptive computing and server virtualization in German data centers - Potentials for increasing energy efficiency today and in 2020
    (Proceedings of the 28th Conference on Environmental Informatics - Informatics for Environmental Protection, Sustainable Development and Risk Management, 2014) Hintemann, Ralph; Fichter, Klaus; Schlitt, Daniel
    Adaptive computing solutions can significantly contribute to saving energy and other resources in data centers. Examples of such solutions include load and power management of servers, adapting air conditioning to dynamic loads, and dynamic distribution of computing loads to various data centers. Several solutions of this kind were developed and their potentials for saving energy and other resources were calculated in the project Adaptive Computing for Green Data Centers (AC4DC). Server virtualization is the fundamental prerequisite for using adaptive computing technologies. Therefore, this contribution focuses first on the extent to which server virtualization is used in data centers and calculates both the current figure and the development through 2020. The calculations are based esp. on market research surveys, surveys of data centers, and a Delphi survey, which generated data for calculating possible energy savings through the use of adaptive computing technologies.
  • Konferenzbeitrag
    Energy demand of workplace computer solutions - A comprehensive assessment including both end-user devices and the power consumption they induce in data centers
    (EnviroInfo & ICT4S, Conference Proceedings, 2015) Hintemann, Ralph; Fichter, Klaus
    The number of Internet-enabled end-user devices such as personal computers, notebooks, tablets, smartphones, etc. is increasing constantly. However, since the devices themselves are becoming ever more energy-efficient, their overall energy consumption in the use phase of their life cycle seems to be increasing only marginally, or even decreasing in some areas. In contrast, the energy consumption induced in data centers by the use of end-user devices is rising. The present contribution presents the results of a Borderstep Institute study on the development of personal computers conducted within the framework of the research project AC4DC. Data was gathered on the number of workplace computer solutions in German businesses, the computers energy consumption, as well as the energy consumption in data centers they induced. In 2014, electricity consumption in data centers induced by end-user devices amounted to between 17 and 49 kWh per end-user device and year. The contribution compares the results of this study with the data from a 2010 survey and projects the global significance of the use of Internet-enabled end-user devices on the energy consumption of data centers.
  • Textdokument
    Softwarearchitektur für die Bewertung des Ressourcenbedarfes in Rechenzentren durch ganzheitliche Ressourceneffizienz
    (INFORMATIK 2021, 2021) Penaherrera, Fernando; Pehlken, Alexandra; Hintemann, Ralph; Hinterholzer, Simon; Koch, Björn
    Der steigende Energiebedarf der Rechenzentren stellt eine Herausforderung bei der Erreichung der Klimaschutzziele sowie der Realisierung der Energiewende dar. Auch die sogenannte graue Energie – also die Energie, die für Herstellung, Transport, Lagerung und Entsorgung der Komponenten benötigt wird – kann ganz erhebliche Anteile am Gesamtenergiebedarf ausmachen. Dieser Artikel stellt eine selbstentwickelte Modellstruktur vor, welche die graue Energie in Rechenzentren erstmalig berechnet.