User Charge Estimation in Numeric Online Databases: A Methodology |
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Page 26
... complex and unanticipated queries in NDBS the methodology must be general . It must allow estimation of the user charges for any RA query , no matter how complex . The RDM serves these requirements well by merit of its exact theoretical ...
... complex and unanticipated queries in NDBS the methodology must be general . It must allow estimation of the user charges for any RA query , no matter how complex . The RDM serves these requirements well by merit of its exact theoretical ...
Page 1
... complex and powerful than in the BDBs . As a result , also the user charging schemes in the NDBs are more complex than in the BDBS [ Fost - 84 ] . The charges are often based on connect - time , computer processing power ( e.g. cpu use ) ...
... complex and powerful than in the BDBs . As a result , also the user charging schemes in the NDBs are more complex than in the BDBS [ Fost - 84 ] . The charges are often based on connect - time , computer processing power ( e.g. cpu use ) ...
Page 5
... complex and unanticipated queries in NDBs the approach must be both general and accurate ; it must allow estimation of the costs of any expressible query , no matter how complex ; the RDM serves these requirements well by merit of its ...
... complex and unanticipated queries in NDBs the approach must be both general and accurate ; it must allow estimation of the costs of any expressible query , no matter how complex ; the RDM serves these requirements well by merit of its ...
Contents
USER CHARGING | 13 |
THE RELATIONAL DATA MODEL | 20 |
CARDINALITY ESTIMATION IN NUMERIC ONLINE | 32 |
Copyright | |
7 other sections not shown
Common terms and phrases
A-names access strategy Appendix approach attribute description set attribute name set attribute selectivity attribute values attributes PRODUCT-NO basis BDBs candidate keys cardinality estimation charging methods CODATA components computed connect-time considered constructed data model database files Database Management Database Management Systems database user developed elementary predicates English Summary example expression F1 and F2 FD-set file design file organization file structures Finland functional dependencies implementation information retrieval Information Science intermediate files inverted file Järvelin join attribute join predicate julkaisuja manipulation MANUF-NO MARKET-SHARE methodology n-tuple NDBs Numeric Databases online databases operand file description procedure cost model processing cost PRODUCTS file QSALES query cardinality query cost modelling query negotiation query optimization query processing query results r-card r-description RA operations records relational algebra relational data model restriction predicate result file description SIGMOD sort-key storage parameters Systems TAHITI TRADEMARK TYPE unit charges University of Tampere upper bound user charge estimation vendor