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A Case for Staged Database Systems Stavros Harizopoulos
 

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

  

Source: Ailamaki, Anastassia - School of Computer Science, Carnegie Mellon University
Carnegie Mellon University, School of Computer Science, Informedia Project
Massachusetts Institute of Technology (MIT), Department of Electrical Engineering and Computer Science, Database Group

 

Collections: Computer Technologies and Information Sciences