Wei Hong

EECS Department, University of California, Berkeley

Technical Report No. UCB/ERL M93/28

, 1993

http://www2.eecs.berkeley.edu/Pubs/TechRpts/1993/ERL-93-28.pdf

The trend in database applications is that databases are becoming orders of magnitude larger and user queries are becoming more and more complex. This trend is driven by new application areas such as decision support, multi-media applications, scientific data, visualization, and information retrieval. For example, NASA scientists have been collecting terabytes of satellite image data from space for many years, and they wish to run various queries over all the past and current data to find relevant images for their research. As another example, several department stores have started to record every product-code scanning action of every cashier in every store in their chain. Ad-hoc complex queries are run on this historical database to discover buying patterns and make stocking decisions.

Advisors: Michael R. Stonebraker

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BibTeX citation:

@phdthesis{Hong:M93/28,
    Author= {Hong, Wei},
    Title= {Parallel Query Processing Using Shared Memory Multiprocessors and Disk Arrays},
    School= {EECS Department, University of California, Berkeley},
    Year= {1993},
    Month= {Apr},
    Url= {http://www2.eecs.berkeley.edu/Pubs/TechRpts/1993/2323.html},
    Number= {UCB/ERL M93/28},
    Abstract= {The trend in database applications is that databases are becoming orders of magnitude larger and user queries are becoming more and more complex. This trend is driven by new application areas such as decision support, multi-media applications, scientific data, visualization, and information retrieval. For example, NASA scientists have been collecting terabytes of satellite image data from space for many years, and they wish to run various queries over all the past and current data to find relevant images for their research. As another example, several department stores have started to record every product-code scanning action of every cashier in every store in their chain. Ad-hoc complex queries are run on this historical database to discover buying patterns and make stocking decisions.},
}

EndNote citation:

%0 Thesis
%A Hong, Wei 
%T Parallel Query Processing Using Shared Memory Multiprocessors and Disk Arrays
%I EECS Department, University of California, Berkeley
%D 1993
%@ UCB/ERL M93/28
%U http://www2.eecs.berkeley.edu/Pubs/TechRpts/1993/2323.html
%F Hong:M93/28