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Abstract: Massive database sizes and growing demands for decision support and data mining result in long-running queries in extensible Object-Relational DBMS, particularly in decision support and data warehousing analysis applications. Parallelization of query evaluation is often required for acceptable performance. Yet queries are frequently processed suboptimally due to (1) only coarse or inaccurate estimates of the query characteristics and database statistics available prior to query evaluation; (2)... (Update)
Context of citations to this paper: More
.... approach, which is based on a data streaming paradigm, to fully support parallelism as well as dynamic reconfiguration of query execution plans [15] in an ORDBMS. The major points presented in this paper can be summarized as follows. ffl We have introduced user defined orderings...
.... predictions of query and system behavior, and re configures a query execution plan based on cost prediction on the fly during runtime [Ng98, Ng99a]. Conquest places a strong emphasis on support for writing and integrating op erators into the environment. Scientists often have...
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BibTeX entry: (Update)
K. Ng, Z. Wang, R.R. Muntz, and E.C. Shek. On reconfiguring query execution plans in distributed object-relational dbms. In Proc. of ICPADS, December 1998. http://citeseer.ist.psu.edu/ng98reconfiguring.html More
@inproceedings{ ng98reconfiguring,
author = "Kenneth W. Ng and Zhenghao Wang and Richard R. Muntz and Eddie C. Shek",
title = "On Reconfiguring Query Execution Plans in Distributed Object-Relational {DBMS}",
booktitle = "{ICPADS}",
pages = "59-66",
year = "1998",
url = "citeseer.ist.psu.edu/ng98reconfiguring.html" }
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