DocumentCode :
3373107
Title :
Parallel pointer-based join algorithms in memory mapped environments
Author :
Buhr, Peter A. ; Goel, Anil K. ; Nishimura, Naomi ; Ragde, Prabhakar
Author_Institution :
Dept. of Comput. Sci., Waterloo Univ., Ont., Canada
fYear :
1996
fDate :
26 Feb-1 Mar 1996
Firstpage :
266
Lastpage :
275
Abstract :
Three pointer based parallel join algorithms are presented and analyzed for environments in which secondary storage is made transparent to the programmer through memory mapping. P.A. Buhr et al. (1992) show that data structures such as B Trees, R Trees and graph data structures can be implemented as efficiently and effectively in this environment as in a traditional environment using explicit I/O. We show how higher order algorithms, in particular parallel join algorithms, behave in a memory mapped environment. A quantitative analytical model has been developed to conduct performance analysis of the parallel join algorithms. The model has been validated by experiments
Keywords :
parallel algorithms; relational algebra; storage management; tree data structures; B Trees; R Trees; data structures; explicit I/O; graph data structures; higher order algorithms; memory mapped environment; memory mapped environments; memory mapping; parallel join algorithms; performance analysis; pointer based parallel join algorithms; quantitative analytical model; secondary storage; Algorithm design and analysis; Analytical models; Computer languages; Computer science; Data structures; Databases; Object oriented modeling; Operating systems; Programming profession; Water storage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Engineering, 1996. Proceedings of the Twelfth International Conference on
Conference_Location :
New Orleans, LA
ISSN :
1063-6382
Print_ISBN :
0-8186-7240-4
Type :
conf
DOI :
10.1109/ICDE.1996.492115
Filename :
492115
Link To Document :
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