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Abstract: Growth and usage trends for large decision support databases indicate that there is a need for architectures that scale the processing power as the dataset grows. These trends indicate that the processing demand for large decision support databases is growing faster than the improvement in performance of commodity processors. To meet this need, several researchers have recently proposed Active Disk/IDISK architectures which integrate substantial processing power and memory into disk units. In... (Update)
Context of citations to this paper: More
...queries may involve multiple operations. It is not clear how the techniques developed for optimizing individual database operations [1, 2] can be integrated within a whole query optimization. Therefore, in order to judge the usefulness of smart disk architectures objectively...
...more detail. The implementations of sequential scan, group by and aggregate operations are similar to those proposed by Acharya et al. [2]. In the sequential scan operation, each smart disk scans the input table and sends the tuples that match the selection criterion to the...
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BibTeX entry: (Update)
M. Uysal, A. Acharya, and J. Saltz. Structure and performance of decision support algorithms on active disks. Technical Report TRCS98-28, Dept of Computer Science, University of California, Santa Barbara, Oct 1998. http://citeseer.ist.psu.edu/uysal98structure.html More
@techreport{ uysal98structure,
author = "M. Uysal and A. Acharya and J. Saltz",
title = "Structure and performance of decision support algorithms on active disks",
number = "TRCS98-28",
institution = "Dept of Computer Science, University of California, Santa Barbara",
month = oct,
year = "1998",
url = "citeseer.ist.psu.edu/uysal98structure.html" }
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