The advances in processing and communication techniques resulted in a multitude of emerging applications that interact with streams of data. Traditional data mining systems store arriving data, collect them for later mining, and make multiple passes over the collected data. Unfortunately, these systems are prohibitively slow when they deal with data streams with massive amounts of data arriving...

This document describes a method to improve the bandwidth utilization of network paths that carry multiple streams in parallel sharing a common path. The method combines standard protocols that provide compression, multiplexing, and tunneling over a network path for the purpose of reducing the bandwidth used when multiple streams are carried over that path.

This document describes a method to improve the bandwidth utilization of network paths that carry multiple streams in parallel between two endpoints, as in voice trunking. The method combines standard protocols that provide compression, multiplexing, and tunneling over a network path for the purpose of reducing the bandwidth used when multiple streams are carried over that path.

We propose a peer-driven video streaming system that provides a reliable and high-performance video on-demand service. We encode each video into multiple low bit-rate substreams and distribute copies of the sub-streams from the participating peers. Each client receives the constituent multiple sub-streams from different serving peers, and combines them into the original video stream. When a ser...

This document describes a method to improve the bandwidth utilization of network paths that carry multiple streams in parallel between two endpoints, as in voice trunking. The method combines standard protocols that provide compression, multiplexing, and tunneling over a network path for the purpose of reducing the bandwidth used when multiple streams are carried over that path.

We present an approach to learning complex dependencies among multiple streams of time-series data incrementally. Given a set of input streams that contain categorical values that change over time, we characterize recurring structure with a set of dependency rules that can be used to predict stream values in the future. These rules are general in the sense of ignoring noisy values in streams.

With the advances in audio encoding standards and wireless access networks, voice over IP (VoIP) is becoming quite popular. However, real-time voice data over lossy networks (such as WLAN and UMTS), still posses several challenging problems because of the adverse effects caused by complex network dynamics. One approach to provide QoS for VoIP applications over the wireless networks is to use mu...

We consider the read/write streams model, an extension of the standard data stream model in which an algorithm can create and manipulate multiple read/write streams in addition to its input data stream. Like the data stream model, the most important parameter for this model is the amount of internal memory used by such an algorithm. The other key parameters are the number of streams the algorit...