Handling parallelism in database systems involves the specification of a storage model, a placement strategy, and a query processing strategy. An important goal is to determine th...
Setrag Khoshafian, George P. Copeland, Thomas Jago...
Many new database applications require very large volumes of data. Mariposa is a data base system under construction at Berkeley responding to this need. Mariposa objects can be s...
Michael Stonebraker, Robert Devine, Marcel Kornack...
Modern data analysis applications driven by the Network Effect are pushing traditional database and data warehousing technologies beyond their limits due to their massively increa...
Michael J. Franklin, Sailesh Krishnamurthy, Neil C...
With the increasing occurrence of temporal and spatial data in present-day database applications, the interval data type is adopted by more and more database systems. For an effic...
: As Peer Data Management Systems (PDMS) are a focus of current research, there are lots of approaches like query processing or routing issues that have to be evaluated. Since ther...
Katja Hose, Christian Lemke, Jana Quasebarth, Kai-...