Philipp Berndt

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We present a scalable approach to distributed data fusion based on the bandwidth- and latency-efficient hypercube topology. Provided the individual estimation errors are uncor-related, double-counting is avoided altogether by exploitation of the network topology, without the need for approximation with channel filters or pedigree logs. The fully allocated(More)
Hypercube gossiping facilitates highly efficient data dissemination for a wide range of applications whereat live streaming, not limited to multimedia, marks the periodic exchange of data. Uses of periodic hypercube gossiping range from the estimation of system state vectors, such as object tracking or real-time business intelligence to audio communication.(More)
— We present a P2P VoIP conferencing network with a symmetric distributed processing topology that we believe to be well suited for use in auditory virtual environments because it allows for multi-group communication and individual volumes per user. The network provides adaptive quality based on virtual locality while requiring significantly less bandwidth(More)
Owed to its regular structure and rich interweaving, facilitating simple and efficient dissemination and aggregation of data, the hypercube is an effective and popular interconnection network for parallel and distributed computing. Its short paths make it suitable for latency critical real-time applications such as live streaming or estimation of system(More)
Abstract The quality of the underlying network model constitutes a pivotal basis for simulating the performance of distributed systems. We present an efficient network model based on measured data and exhibiting realistic network behavior by providing location- and load-dependent latency, jitter and packet loss samples for connections between arbitrary(More)
The efficient structure of the hypercube allows for an optimal solution to the two-way gossip problem at logarithmic node degree. It thereby enables scalable dissemination of live streaming data in peer-to-peer networks. Applications range from audio conferencing to distributed object tracking or real-time business intelligence. For such real-time(More)
Traditional IT infrastructures consist of a multitude of different hardware elements, each of them consuming electrical power even in times of low usage by end users. In the BCI project the TUB is working on realization of cloud-based IT infrastructures, where physical hardware elements are migrated into the cloud. Since these hardware elements are now(More)
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