Abstract. Cloud computing platforms provide scalability and high availability properties for web applications but they sacrifice data consistency at the same time. However, many a...
In this paper we present a novel methodology for partial (re-)configuration that can be used for most bitstream configured hardware (HW). In particular low priced and not for part...
Data provenance is essential in applications such as scientific computing, curated databases, and data warehouses. Several systems have been developed that provide provenance fun...
We propose a surveillance framework (SECRETS: SECure Real-time ElecTronic Surveillance) that is a practical solution to safeguarding sensitive physical facilities like command and ...
Ubiquitous Knowledge Discovery is a new research area at the intersection of machine learning and data mining with mobile and distributed systems. In this paper the main character...