Automated Database Tuning using Dynamic SGA Parameters

Name: Automated Database Tuning using Dynamic SGA Parameters
Brand: LAP Lambert Academic Publishing
SKU: 9783659751127
Price: 310.92 RON
Availability: InStock

A Practical Approach

Autor: Hitesh Kumar Sharma

Limbă:

Legare: Carte broșată

Editura: LAP Lambert Academic Publishing

Disponibilitate: În depozitul extern

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310.92 lei

The knowledge of the system, the data stored, the workload and the inter-dependency between them is...

Informații despre carte

Autor

Hitesh Kumar Sharma

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2017

Pagini

184

EAN

9783659751127

Enbook ID

16452385

Editura

LAP Lambert Academic Publishing

Greutate

292

Dimensiuni

150 x 220 x 11

Descriere completă

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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Automated Database Tuning using Dynamic SGA Parameters

A Practical Approach

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Descriere completă

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