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
We especially solicit submissions for either the Experience and Application Section, or the traditional System and Research Section.
IRIT, Universite Paul Sabatier
Prof. Paul Watson
School of Computing Science,
University of Newcastle upon Tyne,
Newcastle upon Tyne, NE1 7RU
Prof. Salvatore Orlando
Department of Computer Science
University of Venice