oracle_benchmarks.pdf
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Clustered Database Performance and Scalability
on the Egenera
®
BladeFrame
®
System
Benchmark
Performance testing on the Egenera BladeFrame system has demonstrated that the platform
is capable of delivering high throughput from multiple servers using Oracle Real Application
Clusters (RAC) database software. Analysis using Oracle’s Swingbench demonstration tool
and the Calling Circle schema has shown very high transactions-per-minute performance
from single-node implementations with dual-core, 4-socket SMP servers based on Intel and
AMD architectures running a 64-bit-extension Linux operating system. Furthermore, results
demonstrated 92 percent scalability on either server type up to at least 10 servers.
The BladeFrame’s architecture naturally provides a host of benefits over other platforms
in terms of manageability, server consolidation and high availability for Oracle RAC.
The Egenera BladeFrame system is purpose-built to address the problems of large datacen-
ters. Remote management, server consolidation, reduced wiring and switches, and high
availability are some of the physical problems solved.
The system benefits of the hardware architecture provide for superior performance. The
diskless, bladed form factor permits very-high-powered chips to be used. For example, an
Egenera Processing Blade
™
with 4-way, dual-core processors at 2.66 GHz or 2.4 GHz with
32 GB of memory provides the kind of processing power previously found only on large
servers. Moreover, the BladeFrame backplane interconnect provides inter-server communi-
cations at approximately 2.5 Gb per second. These features result in very high throughput.
Oracle’s Real Application Clusters (RAC) software provides a clustered or grid-oriented
database platform for use with multiple databases. The platform enables multiple servers
to access any of the databases running in the cluster. All servers operate independently,
yet are interconnected to allow access to the same disk data simultaneously. RAC software
provides the clustering elements for inter-server communication and efficient sharing of
in-memory blocks, called “Cache Fusion.”
Clustered Database Performance and Scalability Page 2
Summary
BladeFrame Overview
Clustered Database
of 4
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