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Abstract: Runtime Reorganization of Parallel and Distributed Expert Database Systems Hasanat M. Dewan In the last decade and half, scientific and commercial databases have grown at a fast pace as increasingly many enterprises have begun offering and using databasecentered services. Concomitantly, new application requirements have placed unusual processing demands on existing databases. Many researchers believe that next generation database systems will be required to provide efficient and scalable... (Update)
Context of citations to this paper: More
.... DeWitt [15, 8] No No Yes No No Wolf Yu Turek Dias [19, 18] No No Yes No No DeWitt and Naughton [9] No No Yes No Yes Present Work [2] Yes Yes Yes Yes Yes Table 1: Comparison of Parallel Join Methods buckets are small relative to the entire relation, significant savings in...
...for PARULEL programs. The task partitioning and load balancing techniques used in PARADISER has been the subject of other reports [8, 4, 6]. Here we provide an outline appropriate for the present paper. 4.1 Memory Model The database support for PARULEL programs is...
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1.7: .68 20 25 0.62 30 32 0.60 40 43 0.31 50 61 0.28 60 58 0.28 70.. - Pools Kcycles (Correct)
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BibTeX entry: (Update)
H. M. Dewan. Runtime Reorganization of Parallel and Distributed Expert Database Systems. Technical report, Dept. of Computer Science, Columbia University, May 1994. Ph.D. Thesis. http://citeseer.ist.psu.edu/dewan94runtime.html More
@phdthesis{ hasanat94runtime,
author = "Dewan, Hasanat M.",
title = "{R}untime {R}eorganization of {P}arallel and {D}istributed {E}xpert {D}atabase {S}ystems",
year = "1994",
url = "citeseer.ist.psu.edu/dewan94runtime.html" }
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