If industry visionaries are correct, our lives will soon be full of sensors, connected together in
loose conglomerations via wireless networks, each monitoring and collecting data about the …

We describe a framework, called DataCutter, that is designed to provide support for
subsetting and processing of datasets in a distributed and heterogeneous environment. We …

We present the design and implementation of the virtual microscope, a software system
employing a client/server architecture to provide a realistic emulation of a high power light …

In this paper, we present a novel approach to robust skeleton extraction. We use undirected
graphs to model connectivity of the skeleton points. The graph topology remains unchanged …

In wide-area database systems, which may be running on unpredictable and volatile
environments (such as computational grids), it is difficult to produce efficient database query …

Despite the performance drawbacks of Ethernet, it still possesses a sizable footprint in
cluster computing because of its low cost and backward compatibility to existing Ethernet …

The computation of an electromagnetic reflectivity image from a set of radar returns is a
computationally intensive process. Therefore, the use of high performance computing is …

Analysis of data is an important step in understanding and solving a scientific problem.
Analysis involves extracting the data of interest from all the available raw data in a dataset …

Data streaming has established itself as a viable communication abstraction in data-
intensive parallel and distributed computations, occurring in applications such as scientific …

Recent research on programming models for develo** applications on the Grid has
proposed component-based models as a viable approach, in which an application is …