This paper focuses on the differences between monofractal and multifractal network traffic, both in terms of modeling approaches, and in terms of practical impacts on network performance. Empirical traffic traces are used in the parameterization and evaluation of traffic models. Simulation is used to evaluate the performance differences between monofractal and multifractal traffic, both for ind...

A neural model is described which uses oscillatory correlation to segregate speech from interfering sound sources. The core of the model is a two-layer neural oscillator network. The first layer of the network identifies connected regions of energy in the time-frequency plane (segments). In the second layer, segments that have a common fundamental frequency are grouped into streams. A stream is...

Depressurization and pressurization streams in industrial systems constitute a work exchange network (WEN). In this paper, a novel graphical approach for targeting energy conservation potential of a WEN is proposed. Through constructing the composite work curves in the pressure-work diagram and assuming all of the mechanical energy of the depressurization streams is recovered by expanders, the ...

Many sensor network applications are concerned with discovering interesting patterns among observed real-world events. Often, only limited apriori knowledge exists about the patterns to be found eventually. Here, raw streams of sensor readings are collected at the sink for later offline analysis – resulting in a large communication overhead. In this position paper, we explore the use of in-netw...

The transport of multimedia streams over packet-switched networks often involves a preprocessing to smooth the variable bit-rate nature of the streams to achieve higher network utilization. By examining the smoothing procedure and its e ects on an end-to-end basis, we identify critical points that should be taken into account by any smoothing algorithm. Such issues include the packet delay vari...

Active networks have been recently highlighted as a key enabling technology to obtain immense flexibility in terms of network deployment, configurability, and customized packet processing. However, this flexibility is often achieved at the cost of router performance. In this paper, we present a three-level node architecture that combines flexibility and high performance of network nodes. We des...

We address the problem of robust streaming of high-quality video over wireless local area networks in a home environment. By robust streaming, we mean maintaining the highest possible video quality and preventing interruptions to the video under varying bandwidth conditions, which may be due to distance, interference, obstructions, and existence of multiple streams. We propose an application-la...

We approximate analytic queries on streaming data with a weighted reservoir sampling. For a stream of tuples of a Datawarehouse we show how to approximate some Olap queries. For a stream of graph edges from a Social Network, we approximate the communities as the large connected components of the edges in the reservoir. We show that for a model of random graphs which follow a power law degree di...

Many sensor network applications are concerned with discovering interesting patterns among observed real-world events. Often, only limited apriori knowledge exists about the patterns to be found eventually. Here, raw streams of sensor readings are collected at the sink for later offline analysis – resulting in a large communication overhead. In this paper, we explore the use of in-network data ...