Collaborative Lifecycle Management performance report: RDNG 5.0.1

Introduction

This report compares the performance of Rational DOORS Next Generation version 5.0.1 to the previous Rational Requirements Composer version 5.0 release. The test objective is achieved in three steps:

• Run version 5.0 with standard 1.5 hour test using 400 concurrent users.
• Run version 5.0.1 with standard 1.5 hour test using 400 concurrent users.
• The test is run three times for each version and the resulting six tests are compared with each other. Three tests per version is used to get a more accurate picture since there are variations expected between runs.

Disclaimer

The information in this document is distributed AS IS. The use of this information or the implementation of any of these techniques is a customer responsibility and depends on the customer’s ability to evaluate and integrate them into the customer’s operational environment. While each item may have been reviewed by IBM for accuracy in a specific situation, there is no guarantee that the same or similar results will be obtained elsewhere. Customers attempting to adapt these techniques to their own environments do so at their own risk. Any pointers in this publication to external Web sites are provided for convenience only and do not in any manner serve as an endorsement of these Web sites. Any performance data contained in this document was determined in a controlled environment, and therefore, the results that may be obtained in other operating environments may vary significantly. Users of this document should verify the applicable data for their specific environment.

Performance is based on measurements and projections using standard IBM benchmarks in a controlled environment. The actual throughput or performance that any user will experience will vary depending upon many factors, including considerations such as the amount of multi-programming in the user’s job stream, the I/O configuration, the storage configuration, and the workload processed. Therefore, no assurance can be given that an individual user will achieve results similar to those stated here.

This testing was done as a way to compare and characterize the differences in performance between different versions of the product. The results shown here should thus be looked at as a comparison of the contrasting performance between different versions, and not as an absolute benchmark of performance.

What our tests measure

We use predominantly automated tooling such as Rational Performance Tester (RPT) to simulate a workload normally generated by client software such as web browsers. All response times listed are those measured by our automated tooling and not a client.

The diagram below describes at a very high level which aspects of the entire end-to-end experience (human end-user to server and back again) that our performance tests simulate. The tests described in this article simulate a large part of the end-to-end transaction as indicated. Performance tests include some simulation of browser rendering and network latency between the simulated browser client and the application server stack.

Findings

Performance goals

• Verify that there are no performance regressions between current release and prior release with 400 concurrent users using the workload described below.
  • When comparing the three 5.0.1 runs with the three 5.0 runs the average of the three runs is used for comparison. Generally a 10% difference is accepted.

Findings

• Performance
  • The performance test does not show much change between 5.0.1 and 5.0.

Topology

The topology under test is based on Standard Topology (E1) Enterprise - Distributed / Linux / DB2.

The specifications of machines under test are listed in the table below. Server tuning details listed in Appendix A

Network connectivity

All server machines and test clients are located on the same subnet. The LAN has 1000 Mbps of maximum bandwidth and less than 0.3ms latency in ping.

Data volume and shape

The artifacts were distributed between 10 projects for a total of 240,659 artifacts.

The repository contained the following data:

• 219 modules
• 218,632 module artifacts
• 22,027 requirement artifacts
• 11,715 folders
• 150 collections
• 704 reviews
• 114,258 comments
• 3000 public tags
• 500 private tags
• 2,374 terms
• 75,941 links
• 2000 views

• JTS index size on disk = 1.6 GB
• RM index size on disk = 17.3 GB

The large project contained the following data:

• 22 modules
• 1,170 folders
• 2,171 requirement artifacts
• 20,600 module artifacts
• 15 collections
• 62 reviews
• 11,350 comments
• 300 public tags
• 50 private tags
• 132 terms
• 7,676 links

Methodology

Rational Performance Tester was used to simulate the workload created using the web client. Each user completed a random use case from a set of available use cases. A Rational Performance Tester script is created for each use case. The scripts are organized by pages and each page represents a user action.

Based on real customer use, the test scenario provides a ratio of 70% reads and 30% writes. The users completed use cases at a rate of 30 pages per hour per user. Each performance test runs for 90 minutes after all of the users are activated in the system.

Test cases and workload characterization

Response time comparison

The median response time provided more even results than the average response time. The nature of the high variance between tests where some tasks at time takes a longer time to run, such as when the server is under heavy load, makes the average response time less predictive. Both the median and average values are included in the following tables and charts for comparison.

In the repository that contained 240,000 artifacts with 400 concurrent users, no obvious regression was shown when comparing response times between runs.

The numbers in the following chart include all of the pages for all of the scripts that ran.

Results

Observation

• Memory usage is the same in 5.0.1 as in 5.0. Average CPU usage is less in 5.0.1.

Garbage collection

Verbose garbage collection is enabled to create the GC logs. The GC logs show very little variation between runs. Below is an example of the output from the GC logs for JTS and RDNG, including versions 5.0.1 and 5.0 for each application server.

RDNG

• Observation: The graphs show similar behavior in 5.0.1 as in 5.0.

• RDNG 5.0

• RDNG 5.0.1

JTS

• Observation: The graphs show similar behavior in 5.0.1 as in 5.0

• JTS 5.0

• JTS 5.0.1

Create a collection

Back to Test Cases & workload characterization

Filter a query

Back to Test Cases & workload characterization

Open nested folders

Back to Test Cases & workload characterization

Manage folders

Back to Test Cases & workload characterization

Query by ID

Back to Test Cases & workload characterization

View collections

Back to Test Cases & workload characterization

Create a multi-value artifact

Back to Test Cases & workload characterization

Create an artifact

• Observation: When averaging out the three runs the create an artifact action is about 12% faster in 5.0.1. Saving the artifact is also faster (around 10%)

Back to Test Cases & workload characterization

Show artifacts in a Tree view

Back to Test Cases & workload characterization

Open graphical artifacts

Back to Test Cases & workload characterization

Create and edit a storyboard

Back to Test Cases & workload characterization

Display the hover information for a collection

Back to Test Cases & workload characterization

Query by string

Back to Test Cases & workload characterization

Create a PDF report

Back to Test Cases & workload characterization

Create a Microsoft Word report

Back to Test Cases & workload characterization

Browse project folder

Back to Test Cases & workload characterization

Open collection and display first page

Back to Test Cases & workload characterization

Create artifact in large module

Back to Test Cases & workload characterization

Display module history

Back to Test Cases & workload characterization

Create traceability report using 50 artifact

Back to Test Cases & workload characterization

Open large module

Back to Test Cases & workload characterization

Scroll through a large module

Back to Test Cases & workload characterization

Switch between modules

Back to Test Cases & workload characterization

Edit a module artifact

• Observation: When averaging out the three runs the save an artifact action is about 12% faster in 5.0.1.

Back to Test Cases & workload characterization

Save a module

Back to Test Cases & workload characterization

Create a large module report

Back to Test Cases & workload characterization

Uploading 4 MB file in new artifact

• Observation: When averaging out the three runs the action of saving the new artifact is about 12% faster in 5.0.1.

Back to Test Cases & workload characterization

Switch view

Back to Test Cases & workload characterization

Hover over linked artifact

Back to Test Cases & workload characterization

Appendix A

-XX:MaxDirectMemorySize=2g -Xgcpolicy:gencon -Xmx8g -Xms8g -Xmn2g -Xcompressedrefs -Xgc:preferredHeapBase=0x100000000 -Xverbosegclog:logs/gc.log

For more information

• Collaborative Lifecycle Management 2012 Sizing Report (Standard Topology E1)

About the authors

GustafSvensson

Questions and comments:

• What other performance information would you like to see here?
• Do you have performance scenarios to share?
• Do you have scenarios that are not addressed in documentation?
• Where are you having problems in performance?

Warning: Can't find topic Deployment.PerformanceDatasheetReaderComments