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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 model entails several shortcomings that limit server performance when executing workloads with changing... (Update)
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BibTeX entry: (Update)
S. Harizopoulos and A. Ailamak. A Case for Staged Database Systems. In Proceedings of 1st Conference on Innovative Data Systems Research, 2003. http://citeseer.ist.psu.edu/harizopoulos03case.html More
@misc{ harizopoulos03case,
author = "S. Harizopoulos and A. Ailamak",
title = "A Case for Staged Database Systems",
text = "S. Harizopoulos and A. Ailamak. A Case for Staged Database Systems. In
Proceedings of 1st Conference on Innovative Data Systems Research, 2003.",
year = "2003",
url = "citeseer.ist.psu.edu/harizopoulos03case.html" }
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