Science is becoming very data intensive1 . Today's astronomy datasets with tens of millions of galaxies already present substantial challenges for data mining. In less than 1...
Data storage has become an important issue in sensor networks as a large amount of collected data need to be archived for future information retrieval. This paper introduces stora...
Large-scale scientific and business applications require data processing of ever-increasing amounts of data, fueling a demand for scalable parallel file systems comprising hundred...
Many scientific applications use scattered data originated from samples. Interpolation techniques are necessary to estimate the values on non-sampled regions. In a previous work, t...
Abstract--The paper proposes a model which allows integration of services published by independent providers into scientific or business workflows. Optimization algorithms are prop...