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Database Machine Performance: Modeling Methodologies and Evaluation Strategies / edited by Francesca Cesarini, Silvio Salza
(Lecture Notes in Computer Science. ISSN:16113349 ; 257)
Edition | 1st ed. 1987. |
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Publisher | Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer |
Year | 1987 |
Language | English |
Size | XII, 252 p : online resource |
Authors | Cesarini, Francesca editor Salza, Silvio editor SpringerLink (Online service) |
Subjects | LCSH:Computer science LCSH:Database management FREE:Models of Computation FREE:Database Management |
Notes | 1 Introduction -- 2 Evaluation criteria and performance indexes -- 3 Modeling and measuring methodologies -- 4 Database workload modeling -- 5 A procedural strategy for database machine analysis -- 6 A performance study on host-backend communication -- 7 Performance modeling of the DBMAC architecture -- 8 Analysis of filtering efficiency in the database machine verso -- 9 A technique for analyzing query execution in a multiprocessor database machine -- 10 Database machine design and performance evaluation: Annotated bibliography This book is focused on the performance evaluation of database machines, i.e., special-purpose architectures specifically meant to improve the efficiency of database applications. The topic is of primary interest because of the need to compare these systems among themselves and with traditional database management systems. The book gathers the experience of several European research groups in modeling and analyzing the database machine architectures they have proposed. It deals both with the main methodological issues and with the detailed analysis of some relevant problems. It also includes an extensive annotated bibliography with more than one hundred references and several keys for the access to the literature HTTP:URL=https://doi.org/10.1007/3-540-17942-9 |
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E-Book | Location | Media type | Volume | Call No. | Status | Reserve | Comments | ISBN | Printed | Restriction | Designated Book | Barcode No. |
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E-Book | オンライン | 電子ブック |
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Springer eBooks | 9783540471400 |
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Material Type | E-Book |
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Classification | LCC:QA75.5-76.95 DC23:004.0151 |
ID | 4001088821 |
ISBN | 9783540471400 |