MayBMS is a state-of-the-art probabilistic database management system which leverages the strengths of previous database research for achieving scalability. As a proof of concept ...
Jiewen Huang, Lyublena Antova, Christoph Koch, Dan...
Semistructured graph-based databases have been proposed as well-suited stores for World-Wide Web data. Yet so far, languages for querying such data are too complex for casual Web ...
Abstract. The shared-cache contention on Chip Multiprocessors causes performance degradation to applications and hurts system fairness. Many previously proposed solutions schedule ...
During real-world design of embedded real-time systems, it cannot be expected that all performance data required for scheduling analysis is fully available up front. In such situa...
This paper describes our experience developing a semantically-rich exploratory interface that integrates a suite of Newsfilm media sources and associated information. Indeed, the a...
Daniel A. Smith, Alisdair Owens, m. c. schraefel, ...