Requirements from new types of applications call for new database system solutions. Computational science applications performing distributed computations on Grid networks with req...
The inherent limitations of embedded systems make them particularly vulnerable to attacks. We have developed a hardware monitor that operates in parallel to the embedded processor...
We propose two novel integration techniques -- bypass and bookkeeping -- in the memory controller to address the cache coherence compatibility issue of a non-shared bus heterogene...
We study the problem of learning kernel machines transductively for structured output variables. Transductive learning can be reduced to combinatorial optimization problems over a...
An important issue arising from large scale data integration is how to efficiently select the top-K ranking answers from multiple sources while minimizing the transmission cost. T...