By F. Cesarini, S. Salza

This e-book is concentrated at the functionality assessment of database machines, i.e., special-purpose architectures particularly intended to enhance the potency of database functions. the subject is of basic curiosity end result of the have to evaluate those platforms between themselves and with conventional database administration platforms. The publication gathers the adventure of a number of eu learn teams in modeling and studying the database computing device architectures they've got proposed. It offers either with the most methodological matters and with the special research of a few appropriate difficulties. it is usually an intensive annotated bibliography with multiple hundred references and a number of other keys for the entry to the literature.

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Extra resources for Database Machine Performance: Modeling Methodologies and Evaluation Strategies

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The e x e c u t i o n The In this TIME index at a time [QAD85]). of a s i n g l e k i n d of a r c h i t e c t u r e themselves) steps w h i c h m a k e up the a l g o r i t h m hardware [BBD83] understand database quantification allows machine gives meaningful It is limited because into account but it helps us architecture behaviour and its for useful analysis. Since one t r a n s a c t i o n at a t i m e is studied, this i n d e x c o u l d be calculated by m e a n s of f o r m u l a s d e r i v e d f r o m d e t e r m i n i s t i c analysis but in such a case, the t i m e spent by the v a r i o u s s y s t e m c o m p o n e n t s in processing the separately, as is usually done when calculating execution cost.

324-353. DeWitt Designs, October 1983. J. 6, n. 2, June 1981, pp. 227-254. [BR081] J. D. Brownsmith: Computer System Simposium [CDS83] F. A Simulation during of the Annual MICRONET Simulation 1981, pp. 1-16. Cesarini, D. , Prentice-Hall, 1983, pp. Gerber: Algorithms, Bases, [DEH81] [DRS83] Multiprocessor llth 1985, Int. Conf. Hash-Based Join Very Data on Large pp. 151-164. B. DeWitt, Base Proc. A Performance Architectures, Proc. Evaluation 7th Int. Conf. of Data on VLDB, 1981, pp. 199-213. Schweppe: Communication, Machines, A Performance Proc.

Selectivity of kinds various This factors. combinations of Some Criteria for selecting sample queries and parameters applications different in for can be found in [BDT83] and [BCH83]. some hints for correlating database and query parameters specific business be string sorted and and attributes with predefined value allows us to model queries with different in and attributes to be used as key attributes, attributes with guidelines relational DBMs has been emphasized. for testing DBM performance tuple unique the attempt to give database must be defined so as to formulate different queries a fields (namely bibliographic searches, and statistical analysis applications) compare the the choice is very problematic.

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Database Machine Performance: Modeling Methodologies and by F. Cesarini, S. Salza
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