Automated Database Tuning using Dynamic SGA Parameters

Language: English

Published by LAP LAMBERT Academic Publishing Mai 2017, 2017

365975112X / 9783659751127

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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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This item is printed on demand - it takes 3-4 days longer - Neuware -The knowledge of the system, the data stored, the workload and the inter-dependency between them is a major requirement for tuning a Database Management System (DBMS). Due to complexity of the DBMSs and the diversity of their workload, there is a need for automatic tuning of DBMS. Self-managing (or autonomic) databases are intended to reduce the total cost of ownership by automatically adapting to evolving workloads and environments. To reach this goal, commercial DBMSs have recently been equipped with self-management functions, which support the database administrator (DBA) in identifying the appropriate indexes or in sizing the memory areas. However, existing techniques suffer from several problems: First, they are often implemented as off-line tools that have to be explicitly triggered by a DBA. Second, they strictly focus on automating one particular administration task, without considering possible side-effects on other components. This book defines the automated manner to make the system self tune in variable workload. 184 pp. Englisch.…

Seller Inventory # 9783659751127

Title
Automated Database Tuning using Dynamic SGA Parameters
Author
Hitesh Kumar Sharma
Publisher
LAP LAMBERT Academic Publishing Mai 2017
Publication year
2017
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
365975112X
ISBN 13
9783659751127
Item weight
292 grams
Dimensions
220x150x12 mm

BuchWeltWeit Ludwig Meier e.K.

Bergisch Gladbach, Germany

5-star seller

AbeBooks seller since January 11, 2012

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BuchWeltWeit Ludwig Meier e.K.

Germany