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

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.