North Dakota State University
Data intensive computing is a common research problem in science, industry and computer academia. In recent twenty years, the explosive growth of science data has appeared all over the world. Typical data intensive computing applications include Internet text data processing, scientific research data processing, large scale graph computing, inverse and perspective problems. Data intensive computing research faces challenges of scalability of massive data management and processing, integrated data processing technology, system management, new transaction demand, unstructured data processing, service mode, good fault tolerance and high availability.