To manage the very large amount of data today available, computer scientists are working on efficient systems, algorithms and applications that can handle and analyze very large databases. Intensive data consuming applications are running on very large databases (on data warehouses, on multimedia databases) with the task to extract information diamonds. Data mining is one of the key applications here. However, these intensive data consuming applications suffer from performance problems and single database sources. Introducing data distribution and parallel processing help to overcome resource bottlenecks and to achieve guaranteed throughput, quality of service, and system scalability. Distributed architectures supported by high performance networks and intelligent middleware offer parallel and distributed databases a great opportunity to support cost-effective everyday applications.
We especially solicit submissions for either the Experience and Application Section, or the traditional System and Research Section.
Experience and Application Section
System and Research Section
Prof. Bernhard Mitschang
Institute of Parallel and Distributed Systems
Universitšt Stuttgart, Germany
Prof. Domenico Talia
Dipartimento di Elettronica Informatica e Sistemistica
University of Calabria, Italy