| | |
Summary: A Case for Staged Database Systems
Stavros Harizopoulos
Computer Science Department
Carnegie Mellon University
Pittsburgh, PA 15213, USA
stavros@cs.cmu.edu
Anastassia Ailamaki
Computer Science Department
Carnegie Mellon University
Pittsburgh, PA 15213, USA
natassa@cmu.edu
Abstract
Traditional database system architectures face a
rapidly evolving operating environment, where
millions of users store and access terabytes of
data. In order to cope with increasing demands for
performance, high-end DBMS employ parallel
processing techniques coupled with a plethora of
sophisticated features. However, the widely
adopted, work-centric, thread-parallel execution
|
