With the increasing number and complexity of therapeutic coronary interventions, there is
an increasing need for accurate quantitative measurements. These interventions and …

The growth of high-speed wide area networks (WANs) has enabled the emergence of new
classes of data intensive, wide area computing applications, such as the remote analysis and …

The paper describes a general purpose high performance data transfer protocol for data
intensive applications over high bandwidth networks. The protocol, named SABUL, has …

A data web can simplify the processes of cleaning, transforming, and exploring data in a
data mining application. DataSpace is one such mechanism that lets scientists view, retrieve, …

We describe an architecture for remote and distributed data intensive applications that
integrates optical path services, network protocol services for high performance data transport, …

TeraScope is a framework and a suite of tools for interactively browsing and visualizing large
terascale data sets. Unique to TeraScope is its utilization of the Optiputer paradigm to treat …

Traditionally, the design and implementation of network based applications, especially large-scale,
high performance applications, have had to be compromised across multiple …

This article describes an internet infrastructure for working with data called DataSpace. A
distributed DataSpace application containing data from the 2MASS and DPOSS astronomical …

The model for data mining on streaming data assumes that there is a buffer of fixed length
and a data stream of infinite length and the challenge is to extract patterns, changes, …

As the network bandwidth and delay increase, TCP becomes inefficient. Data intensive
applications over high-speed networks such as the computational grids need new transport …