Discrete event simulations (DES) provide a powerful means for modeling complex systems
and analyzing their behavior. DES capture all possible interactions between the entities they …

As remote sensing equipment and networked observational devices continue to proliferate,
their corresponding data volumes have surpassed the storage and processing capabilities …

Networked observational devices and remote sensing equipment continue to proliferate and
contribute to the accumulation of extreme-scale datasets. Both the rate and resolution of the …

Data volumes in the geosciences and related domains have grown significantly as sensing
equipment designed to continuously gather readings and produce data streams for …

This study presents a framework to enable distributed detection, storage, and analysis of
anomalies in voluminous data streams. Individual observations within these streams are …

This article explores the challenges associated with supporting geospatial retrievals
constrained by arbitrary geometric bounds, geographic proximity, and relevance rankings …

Discrete event simulations (DES) provide a powerful means for modeling complex systems
and analyzing their behavior. DES capture all possible interactions between the entities they …

Steady growth in storage and processing capabilities has led to the accumulation of large-
scale datasets that contain valuable insight into the interactions of complex systems, long …

The proliferation of observational devices and sensors with networking capabilities has led
to growth in both the rates and sources of data that ultimately contribute to extreme-scale …

With the rapid increase of scientific data volumes, interactive tools that enable effective
visual representation for scientists are needed. This is critical when scientists are …