Data stream oriented applications are
typically dealing with huge volumes of data. Storing data
and performing off-line processing on this huge data set
can be costly, time consuming and impractical. This work
describes our research results while designing and
implementing an efficient data management system for
on-line and off-line processing of streaming data. We
present major existing data stream processing engines,
their internal architecture and how they compare to our
...