Performance characterization of HP ProLiant BL685c G5
with Quad-Core AMD Opteron processors (2.3 GHz)
in a 64-bit HP Server Based Computing environment
For more information.......................................................................................................................... 23
Executive summary
Important:
This document describes a performance characterization performed
utilizing the HP 64-bit test harness, which incorporates a Microsoft® Office
2003 workload.
Test results cannot be compared directly with the results of tests performed
using the 32-bit Office XP- or Office 2003-based harness.
The HP ProLiant BL685c G5 server blade delivers uncompromising performance and expandability in
a dense form factor. With up to four Quad-Core AMD Opteron™ processors, 64 GB of DDR2
memory, two hot plug serial hard drives, four integrated network adapters and three I/O expansion
slots, the HP ProLiant BL685c G5 server blade can support the most demanding enterprise-class
applications.
A four-socket1 HP ProLiant BL685c G5 server blade with the AMD Opteron Processor Model 8356
(2.3 GHz) can provide optimal support for up to the following numbers of users (as described in
Table 2) in a 64-bit HP Server Based Computing (SBC) environment:
Heavy Users
Medium Users
Light Users
301
444
544
Since the kernel memory constraints that limit scalability in a 32-bit HP SBC environment have been
removed, this performance characterization demonstrates that customers can expect to fully utilize the
resources of this server in a 64-bit environment, even when running their 32-bit applications.
Testing performed in March 2008 is described.
Audience
This performance characterization is intended primarily for IT professionals planning HP SBC
solution deployments. The performance and sizing information provided herein is designed to help
customers estimate the number of HP ProLiant BL685c G5 server blades required for a particular
environment.
Introduction
The HP ProLiant BL685c G5 server blade (shown in Figure 1) is ideal for multi-threaded, multi-tasked
environments, high-performance computing, and HP SBC.
Note:
This server blade is deployed within an HP BladeSystem enclosure. For
more information, refer to
Appendix A – HP BladeSystem.
1
Four-processor, also known as 4P
3
Figure 1. HP ProLiant BL685c G5 server blade
AMD Opteron processors
The HP ProLiant BL685c G5 server blade supports up to four Quad-Core AMD Opteron 8300 Series
processors. This native quad-core processor delivers the following benefits:
•Outstanding performance
The Quad-Core Opteron processor is designed for optimal multi-threaded application performance.
Its native quad-core implementation features four cores on a single die for more efficient data
sharing, while the enhanced cache structure and integrated memory controller can sustain
application throughput. This processor provides outstanding processing power and, together with its
performance-per-watt enhancements, can improve IT responsiveness while maintaining data center
costs.
•Enhanced power efficiency
Thanks to Enhanced AMD PowerNow!™ technology and the introduction of AMD CoolCore™
technology, Quad-Core Opteron processors are very power-efficient, helping to reduce power
needs and cooling costs in the data center.
(For more on power management enhancements, see
•Optimal virtualization
Featuring AMD Virtualization™ (AMD-V™) technology with nested paging acceleration, Quad-Core
Opteron processors can accelerate the performance of virtualized applications and improve
efficiency when switching between virtual machines; as a result, customers can typically host more
virtual machines and users per system, maximizing the consolidation and power-saving benefits of
virtualization.
AMD Dual Dynamic Power Management.)
4
• Investment protection
By leveraging AMD’s Common Core Strategy and Same Socket Technology, Quad-Core Opteron
processors can minimize changes to the customer’s software and data center infrastructure,
protecting IT investments and simplifying management.
AMD Dual Dynamic Power Management
Dual Dynamic Power Management functionality allows each processor to maximize the power-saving
benefits of Enhanced AMD PowerNow! without compromising performance, reducing idle power
consumption and enabling per-processor power management in multi-socket systems to further reduce
power consumption.
By powering core and memory controller voltage planes independently, Dual Dynamic Power
Management can enhance both performance and power management.
Benefits include:
•Increased performance
The memory controller is able to run at a higher frequency, helping to reduce memory latency and
thus improving application performance.
•Improved power management
By operating independently from the memory controller, the cores in a Quad-Core Opteron
processor can exploit the power savings offered by Enhanced PowerNow! more often, resulting in
reduced power and cooling bills. In addition, the processor reduces power to the northbridge
2
when memory is not in use, while continuing to provide full power to the cores.
The following sections of this paper describe the testing performed by HP to characterize the
performance and scalability of an HP ProLiant BL685c G5 server blade in a 64-bit HP SBC
environment.
Note:
A 64-bit HP SBC environment eliminates the kernel memory constraints that
can limit server scalability in a 32-bit HP SBC environment. For more
information, refer to
x64 Editions.
Appendix B – Using Microsoft Windows Server 2003
2
Or memory controller hub (MCH)
5
Test methodology
HP continues to upgrade existing HP ProLiant servers and introduce new servers to meet particular
business needs. To help customers select the appropriate server for their particular HP SBC
environment, HP publishes this and other performance characterizations so that you can compare
individual server performance and scalability.
This section describes how HP determined the optimal number of users supported by an HP ProLiant
BL685c G5 server blade with the Opteron Processor Model 8356 (2.3 GHz) – henceforth referred to
as the HP ProLiant BL685c G5 server blade – in a 64-bit test harness.
Important:
As with any laboratory testing, the performance metrics quoted in this
paper are idealized. In a production environment, these metrics may be
impacted by a variety of factors.
HP recommends proof-of-concept testing in a non-production environment
using the actual target application as a matter of best practice for all
application deployments. Testing the actual target application in a
test/staging environment identical to, but isolated from, the production
environment is the most effective way to characterize system behavior.
This section provides more information on test tools, user profiles and test scenarios.
6
Test tools
To facilitate the placement and management of simulated loads on an HP SBC server, HP used
Terminal Services Scalability Planning Tools (TSScaling), a suite of tools developed by Microsoft to
help organizations with Microsoft Windows® Server 2003 Terminal Server capacity planning.
Table 1 describes these tools.
Table 1. Components of TSScaling
Component Description
Automation tools Robosrv.exe Drives the server-side of the load simulation
Robocli.exe Helps drive the client-side of the load simulation
Test tools Qidle.exe
Tbscript.exe
Help files TBScript.doc Terminal Server bench scripting documentation
TSScalingSetup.doc A scalability test environment set-up guide
TSScalingTesting.doc A testing guide
Determines if any scripts have failed and require
operator intervention
A script interpreter that helps drive the client-side load
simulation
More information
• Roboserver (Robosrv.exe) and Roboclient (Robocli.exe):
• TSScaling:
Windows Server 2003 Terminal Server Capacity and Scaling
Terminal Server capacity planning
User profiles
To simulate typical workloads in this environment, HP used scripts based on the Heavy, Medium, and
Light User profiles described in Table 2.
Table 2. User profiles incorporated into the test scripts
User class Activities
Heavy User
Medium User
Light User
Heavy Users (also known as Structured Task Workers) tend to open multiple applications
simultaneously and remain active for long periods. Heavy Users often leave applications open
when not in use.
Medium Users (also known as Knowledge Workers) are defined as users who gather, add value
to, and communicate information in a decision-support process. Cost of downtime is variable but
highly visible. These resources are driven by projects and ad-hoc needs towards flexible tasks.
These workers make their own decisions on what to work on and how to accomplish the task.
Sample tasks include: marketing, project management, sales, desktop publishing, decision
support, data mining, financial analysis, executive and supervisory management, design, and
authoring.
Light Users (also known as Data Entry Workers) input data into computer systems. Activities
include transcription, typing, order entry, clerical work and manufacturing.
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