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This study explores the performance of a WebSphere Application
Server 6.1 system under a customer-like J2EE application workload.
It includes a very detailed description of how the test environment
was set up and how the systems were configured. The difference
in performance behavior of the 31-bit and the 64-bit WebSphere
versions is compared, and the impact of heap size and garbage
collection is analyzed.
It was found that with a special scenario at the highest
workload level, which utilized eight CPUs, the 64-bit WebSphere
version with a large heap showed its strength. The CPU scaling
is very linear, but with the high computing power of the IBM
System z10, the network bandwidth becomes a critical factor.
At the highest workload submission rate, for example, a 10
Gb Ethernet card was needed to manage the traffic from the
workload generating clients.
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WebSphere on IBM System z 64-bit/31-bit Studies with J2EE Workloads
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The IBM Tivoli Provisioning Manager is an enterprise management
application. It provides a centralized and intuitive interface
to automate data center provisioning activities and manage
IT resource life cycles, integrating with a variety of devices
to enable highly accurate server provisioning and software
deployments.
IBM Tivoli Provisioning Manager (TPM) 5.1.1 for Linux on
System z has recently been made available as the first Linux-based
64 bit TPM version. The 64 bit version has been made available
to remedy limitations that have been previously identified
during extensive benchmark testing with the 31 bit TPM version.
This document provides results for the first TPM 64 bit
on IBM System z10 benchmark. The benchmark sets new records
for TPM, both for overall throughput and concurrency. For
example, the benchmark shows that using TPM 5.1.1. 64 bit
on IBM System z10 permits superior performance while using
half the number of processors versus prior 31 bit benchmarks
on IBM System z990.
For more information on Tivoli Provisioning Manager see
http://www.ibm.com/software/tivoli/products/prov-mgr/.
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Tivoli Provisioning Manager 5.1.1.1: 64 Bit System z10 Benchmark Results
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This paper analyzes parameter and configuration variations
in a WebSphere Application Server cluster running the Trade
workload when caching is enabled. We used a secure environment
with a DMZ to protect the application servers against an uncontrolled
external zone.
The most interesting findings:
- Any form for caching resulted in a significant throughput
improvement over the no caching case, where Distributed
map caching generated the highest throughput improvement
- DynaChache disk-off load is a very interesting feature,
which can significantly improve the performance with small
caches without additional CPU cost
- The z/VM VSWITCH LAN configuration resulted in higher
throughput than the Guest LAN feature
- The IBM System z10 system obtained a significant throughput
advantage over the IBM System z9 system
- We can highly recommend z/VM for environments like this
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Tuning WebSphere Application Server Cluster with Caching
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The paper gathers Linux end-to-end performance measurements
for a WebSphere Application Server 6.1 environment. It shows
how the set of products which is needed to run the Trade 6
benchmark on Linux for System z9 performs on a release-to-release
basis.
These are the most important findings:
- RHEL 5.0 achieves a very good CPU scalability
With 8 CPUs on the WebSphere LPAR we obtained a scaling
factor of 7.5x.
- We recommend using RHEL 4.5 or higher for WebSphere 6.1
See also http://www.ibm.com/support/techdocs/atsmastr.nsf/WebIndex/FLASH10648
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WebSphere
Application Server 6.1 Base Performance
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The paper gathers Linux end-to-end measurements for all of
the components in the path from the user accessing the WebSphere
Application Server system to the database.
These components are:
- SUSE Linux Enterprise Server (SLES)
- WebSphere Application Server
- Java
- IBM DB2 Universal Database on Linux for IBM System z or
on z/OS
We show how this set of products performs on a release-to-release
basis and how the performance can be improved.
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- WebSphere
Application Server Base Performance
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This paper describes the end-to-end performance of an WebSphere
Application Server 6.0.2 cluster environment including firewall
systems, Edge components like WebSphere Load Balancer and
the caching proxy server, and the Web server.
It uses a typical setup for application servers providing
services into the Internet. The the systems with the application
server are protected by implementing a demilitarized zpnme
(DMZ), which suppresses direct access from the Internet completely
and allowing only well controlled accesses to the servers
via the proxy. The entire environment was set up with z/VM
guests on z/VM 5.2.
Through the project, we gathered experience on how to analyze
and tune a cluster environment on Linux on IBM System z using
the Trade 6.0 (Trade) application. We also learned where some
of the pitfalls can be found. We were trying to find the best
configuration to achieve the highest throughput.
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- End-to-End
Performance of a WebSphere Environment Including Edge Components
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What do you do when you get a call from your customer, who
says this:
“We have a WebSphere application running
on Linux for zSeries, and its performance is bad”.
The following document describes a process to follow to help
diagnose performance problems, and suggestions for resolving
them.
The document is intended to be used by IBM field personnel
working with the customer to diagnose such a problem, or by
the customers themselves.
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How to Determine the Causes of Performance Problems with WebSphere
Applications running on Linux for zSeries
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