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Suche nach „[A.] [Houyou]“ hat 5 Publikationen gefunden
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    DigitalElektrotechnik und Medientechnik

    Beitrag (Sammelband oder Tagungsband)

    W. Mandarawi, Andreas Fischer, A. Houyou, H.-P. Huth, H. Meer

    Constraint-Based Virtualization of Industrial Networks

    Principles of Performance and Reliability Modeling and Evaluation: Essays in Honor of Kishor Trivedi on his 70th Birthday, Cham

    2016

    ISBN: 978-3-319-30597-4

    DOI: 10.1007/978-3-319-30599-8_22

    DigitalElektrotechnik und Medientechnik

    Patent

    A. Houyou, Andreas Fischer, W. Mandarawi, H. Meer, H.-P. Huth

    Device and method for allocating communication resources in a system employing network slicing

    2016

    Elektrotechnik und Medientechnik

    Beitrag (Sammelband oder Tagungsband)

    H. Hlavacs, K. Hummel, R. Weidlich, A. Houyou, Andreas Berl, H. Meer

    Energy Efficiency in Future Home Environments: A Distributed Approach

    Home networking, New York, vol. 256

    2008

    ISBN: 978-0-387-77216-5

    Elektrotechnik und Medientechnik

    Beitrag (Sammelband oder Tagungsband)

    A. Garcia, Andreas Berl, K. Hummel, R. Weidlich, A. Houyou, K. Hackbarth, H. Meer, H. Hlavacs

    An Economical Cost Model for fair resource sharing in Virtual Home Environments

    Proceedings of the 4th Euro-NGI International Conference on Next Generation Internet Networks (NGI 2008)

    2008

    Elektrotechnik und Medientechnik

    Zeitschriftenartikel

    H. Hlavacs, K. Hummel, R. Weidlich, A. Houyou, Andreas Berl, H. Meer

    Distributed Energy Efficiency in Future Home Environments

    Annals of Telecommunications (Special issue: Next Generation Network and Service Management), vol. 63, no. Oktober, pp. 473-485

    2008

    Abstract anzeigen

    In this paper, a new architecture for sharing resources among home environments is proposed. Our approach goes far beyond traditional systems for distributed virtualization, like PlanetLab or grid computing, as it relies on complete decentralization in a peer-to-peer (P2P) like manner and, above all, aims at energy efficiency. Energy metrics are defined, which have to be optimized by the system. The system itself uses virtualization to transparently move tasks from one home to another to optimally utilize the existing computing power. We present an overview of our proposed architecture, consisting of a middleware interconnecting computers and routers in possibly millions of homes using P2P techniques. For demonstrating the potential energy saving of distributed applications, we present an analytical model for sharing downloads, which is verified by discrete event simulation. The model represents an optimistic case without P2P overhead and fairness. The model allows to assess the upper limit of the saving potential. An enhanced version of the simulation model also shows the effect of fairness. The fairer the system gets, the less efficient it is.