Embedded systems are rapidly growing in size, complexity, distribution, and heterogeneity. As a result, the traditional practice of developing one-off embedded applications that a...
Quality of data plays a very important role in any scientific research. In this paper we present some of the challenges that we face in managing and maintaining data quality for a...
Discovery of large amounts of idle CPUs in fully distributed and shared Grid systems is needed in relevant applications and is still a challenging problem. In this paper we present...
The medical community is producing and manipulating a tremendous volume of digital data for which computerized archiving, processing and analysis is needed. Grid infrastructures ar...
- The design of embedded computing systems faces a serious productivity gap due to the increasing complexity of their hardware and software components. One solution to address this...