Sharing huge databases in distributed systems is inherently difficult. As the amount of stored data increases, data localization techniques become no longer sufficient. A more ef...
Rabab Hayek, Guillaume Raschia, Patrick Valduriez,...
Sampling is a widely used technique to increase efficiency in database and data mining applications operating on large dataset. In this paper we present a scalable sampling imple...
The Network Data Delivery Service NDDS is a novel network data-sharing system. NDDS builds on the model of information producers sources and consumers sinks. Producers generate da...
The growing interest in ad hoc wireless network applications that are made of large and dense populations of lightweight system resources calls for scalable approaches to fault to...
Various real-life datasets can be viewed as a set of records consisting of attributes explaining the records and set of measures evaluating the records. In this paper, we address t...