You might also like

More about Automated Database Tuning using Dynamic SGA Parameters

• Book details
• Synopsis
• Trending among others

You get 140 loyalty points

Book synopsis

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.

Book details

• Full title: Automated Database Tuning using Dynamic SGA Parameters
• Subtitle: A Practical Approach
• Author: Hitesh Kumar Sharma
• Language: English
• Binding: Paperback
• Number of pages: 184
• EAN: 9783659751127
• ID: 16452385
• Publisher: LAP Lambert Academic Publishing
• Weight: 292 g
• Dimensions: 220 × 150 × 11 mm
• Published: 2017

Trending among others

---

---

---