Roman Weidlich

Learn More
Home environments have a great potential of resource sharing and energy saving. More and more home computers are running on an always-on basis (e.g. media-centers or file-sharing clients). Such home environments have not been sufficiently analyzed regarding their energy-efficient operation, yet. This paper discusses network virtualiza-tion methods that are(More)
Summary form only given. The authors investigated the suitability of the Hopfield-Tank neural network model for solving several constraint satisfaction problems. They started by attempting to reproduce the results of Hopfield and Tank, who claim to have built a neural network that finds good solutions to the traveling salesman problem (TSP). They found this(More)
This paper reveals the power saving potential of P2P file sharing in two cases; popular and unpopular files. For popular files, we derive, with regard to BitTorrent, an expression for the optimal time seeders should support leechers. For unpopular files, we extend an existing model by taking into account leechers’ power consumption dependent on the load.(More)
Home networks recently gain importance due to their development from pure internal networks in form of an Ethernet LAN to converged networks integrating home, Internet, and access provider infrastructure. In emerging future home networking scenarios, service provisioning and network management is proposed by distributed architectures forming virtual home(More)
In this paper, a new architecture for sharing resources amongst home environments is proposed. Our approach goes far beyond traditional systems for distributed virtualization like PlanetLab or Grid computing, since it relies on complete decentralization in a peer-to-peer like manner, and above all, aims at energy efficiency. Energy metrics are defined,(More)
This work presents a special class of a data flow oriented optimization tool that finds the optimal number of threads for multi-thread software. Threads are assumed to encapsulate concurrent executable key functionalities, are connected through finite capacity queues, and require certain hardware resources. We show how a combination of measurement and(More)
  • 1