Automated Database Tuning using Dynamic SGA Parameters: A Practical Approach - Brossura

Sharma, Hitesh Kumar

 
9783659751127: Automated Database Tuning using Dynamic SGA Parameters: A Practical Approach
Brossura
ISBN 10: 365975112X ISBN 13: 9783659751127
Casa editrice: LAP LAMBERT Academic Publishing, 2017

Sinossi

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.

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Editore
LAP LAMBERT Academic Publishing
Data di pubblicazione
2017
Lingua
Inglese
ISBN 10 
365975112X
ISBN 13 
9783659751127
Rilegatura
Copertina flessibile
Numero di pagine
184
Contatto del produttore
non disponibile
Persona responsabile
KreGa Onlinehandel GmbH
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info@krega-onlinehandel.de

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