Data intensive applications today usually run in either a clientserver or a middleware environment. In either case, they must efficiently handle both database queries, which proc...
We present a pipelining, dynamically usercontrollable reorder operator, for use in dataintensive applications. Allowing the user to reorder the data delivery on the fly increases...
Vijayshankar Raman, Bhaskaran Raman, Joseph M. Hel...
In this paper, we describe our recent experiences in adding a number of object-relational extensions to the DB2 Universal Database UDB system as part of a research and developme...
Michael J. Carey, Donald D. Chamberlin, Srinivasa ...
Many applications require the clustering of large amounts of high-dimensional data. Most clustering algorithms, however, do not work e ectively and e ciently in highdimensional sp...
As random access memory gets cheaper, it becomes increasingly affordable to build computers with large main memories. We consider decision support workloads within the context of...