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Cost Models for Query Processing Strategies in the Active Data Repository (1999)  (Make Corrections)  (2 citations)
Chialin Chang



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Abstract: Exploring and analyzing large volumes of data plays an increasingly important role in many domains of scientific research. We have been developing the Active Data Repository (ADR), an infrastructure that integrates storage, retrieval, and processing of large multi-dimensional scientific datasets on distributed memory parallel machines with multiple disks attached to each node. In earlier work, we proposed three strategies for processing range queries within the ADR framework. Our experimental... (Update)

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...i.e. the output grid is two dimensional, and y i x i . The extension of the method to d 2 dimensions and for y i x i can be found in [4]. A tile can be implicitly partitioned into subregions R 1 , R 2 , and R 4 as shown in Figure 4. If the mid point of the MBR of an input...

...two, i.e. the output grid is two dimensional, and y i #x i . The extension of the method to d#2 dimensions and for y i # x i can be found in [4]. A tile can be implicitly partitioned into subregions R 1 , R 2 ,andR 4 as shown in Figure 4. If the mid point of the MBR of an input...

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BibTeX entry:   (Update)

C. Chang. Cost models for query processing strategies in Active Data Repository. Technical Report CS-TR-4060 and UMIACS-TR-99-54, University of Maryland, Department of Computer Science and UMIACS, 1999. http://citeseer.ist.psu.edu/chang99cost.html   More

@techreport{ chang99cost,
    author = "Chialin Chang",
    title = "Cost Models for Query Processing Strategies in the Active Data Repository",
    number = "CS-TR-4060",
    year = "1999",
    url = "citeseer.ist.psu.edu/chang99cost.html" }
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