Enterprise-level applications are becoming complex with the need for event and stream processing, multiple query processing and data analysis over heterogeneous data sources such ...
The purpose of this research is to explore the capabilities of future, multi-core heterogeneous systems, with specialized communication support, to be used as efficient and flex...
Ada Gavrilovska, Sanjay Kumar, Srikanth Sundaragop...
In data-intensive computing, an important problem that has received relatively little attention is of transparent processing of data stored in remote data repositories. Interesting...
In today’s world, stream processing systems have become important, as applications like media broadcasting, sensor network monitoring and on-line data analysis increasingly rely...
We propose a distributed XML stream filtering system that uses a large number of subscribers' profiles, written in XPath expressions, to filter XML streams and then publish t...