Abstract: We propose a new system that is able to handle the entire Personal Dataspace of a user. A Personal Dataspace includes all data pertaining to a user on all his disks and o...
Jens-Peter Dittrich, Lukas Blunschi, Markus Fä...
Existing data-stream clustering algorithms such as CluStream are based on k-means. These clustering algorithms are incompetent to find clusters of arbitrary shapes and cannot hand...
Grid data management is a challenging task because of the heterogeneous, dynamic and largescale nature of Grid environments. This paper proposes an autonomic Grid data management ...
A key challenge in supporting data-driven scientific applications is the storage and management of input and output data in a distributed environment. In this paper, we describe a...
Stephen Langella, Shannon Hastings, Scott Oster, T...
Product Data Management (PDM) and Software Configuration Management (SCM) are the disciplines of building and controlling the evolution of a complex artifacts; either physical or ...