Digital libraries in healthcare are hosting an inherently large and continually growing collection of digital information. Especially in medical digital libraries, this information needs to be analyzed and processed in a timely manner. Sensor data streams, for instance, providing continuous information on patients have to be processed on-line in order to detect critical situations. This is done by combining existing services and operators into streaming processes. Since the individual processing steps are quite complex, it is important to efficiently make use of the resources in a distributed system by dynamically parallelizing operators and services. The Grid vision already considers the efficient routing and distribution of service requests. In this paper, we present a novel information management infrastructure based on a hyperdatabase system that combines the process-based composition of services and operators needed for sensor data stream processing with advanced grid features.
['Manfred Wurz', 'Gert Brettlecker', 'Heiko Schuldt']
A combined hyperdatabase and grid infrastructure for data stream management and digital library processes