IBM System Verification Test for
Windows 2003 VMware (32 bit) with Domino 8.5.1
October, 2009
1 Overview
The IBM System Verification Test (SVT) objective is to execute a set of test scenarios against a test configuration that contains the key requirements and components that will create a load on a Windows x32 machine.
This testing utilized test scripts currently used by the Domino system test team.
One's perception of system quality is governed under the statement of overall system reliability. A widely accepted definition of software reliability is the probability that a computer system performs its destined purpose without failure over a specified time period within a particular execution environment. This execution environment is known formally as the operational profile, which is defined in terms of sets of possible input values together with their probabilities of occurrence. An operational profile is used to drive a portion of the system testing. Software reliability modelling is therefore applied to data gathered during this phase of testing and then used to predict subsequent failure behaviour during actual system operations
A reliability test is one that focuses on the extent to which the feature or system will provide the intended function without failing. The goal of all types of testing is the improvement of the reliability program with specific statements about reliability specific tests. Reliability is the impact of failures, malfunctions, errors and other defect related problems encountered by customers. Reliability is a measure of the continuous delivery of the correct service (and, the time to failure).
SVT's purpose of running Reliability tests was to ascertain the following:
- Data population for all parts of the infrastructure to force set limits to be achieved and passed
- Running sustained reliability scripts at >100% maximum capacity. Assessing :
- Breakpoints
- System stability pre and post breakpoint
- Serviceability
- Forcing spikes and anti-spikes in usage patterns
- Flushing out the DB Table spaces to their maximum, proving the maximum, proving ability to recover/get back to a good place when the maximum limits have been exceeded
- Proving serviceability errors and warnings when thresholds are hit
2 Configuration diagram for Windows x32 VMware configuration
The Windows VMware configuration the domino system test team utilizes two Windows 2003 x32 VMware machines.
The environment consisted of two Windows 2003 x32 VMware machines with two Domino servers on each machines. Each server hosted 2,000 registered users and total 4000 registered users with 2,000 active users.
It is generally recommended to use separate file system for Transaction Logging.
The design task was run at the start of the test to upgrade the templates. The update task ran for the entire period of the test (until the server is brought down). Updall ran between 2:00 AM and 5:00 AM, or until it completed.
Details of System under Test (SUT)
System | IBM System E 5345 (domino partitions) |
Processor | One Intel® XEON® CPU E5345 @2.33 GHz
2 CPUs (domino partitions)
|
Memory | |
Model of Machine | |
Disk Drive | 2 * 542GB 10K RPM SAN Drives
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Operating System | Microsoft Windows Server 2003 (x86_32) SP2
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Domino Server | Domino 8.5.1 Production Build for Windows Server 2003 x32
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2.1 Evaluation Criteria
The performance of Domino 8.5.1 is evaluated under the following criteria:
· Server CPU: The overall CPU of the server will be monitored over the course of the experiment. The aim is for the server CPU not to go above 75% over the course of the experiment allowing the server to function appropriately. It is acceptable for the CPU to occasionally spike at this level for a short period of time, but it must return to a lower level. High CPU results from the server being stressed due to processes running such as compact, fix up or replication or from user load or any other third party programs.
· Domino Processes CPU: The previous metric monitors the overall CPU of the server, however, the CPU consumption of Domino specific processes will also be monitored individually. In this manner the CPU consumption of Domino specific processes may be evaluated.
· Server Memory: The server memory metric represents the amount of physical memory available on the server. If the available memory becomes low the server performance could be compromised.
· Server Disk I/O: The disk is a source of contention when a server is under load and performing a high number of read and write operations. The disk queue length is measured to determine if the disk I/O operations are resulting in a bottleneck for the system performance.
· Network I/O: These metrics monitor the network utilization to ensure the bandwidth consumption is acceptable and that the network is not overloaded.
· Response Times from the End-user Perspective: The server response times for user actions represent how long a single user must wait for a given transaction to complete. This metric captures the user experience of the application with the server. At times, response times will be longer when a server is under load. When response times increase over an extended period, or persist at high levels (e.g. when a database or view takes longer than 30 seconds to open), they indicate that performance indicators are being hit and detailed analysis must be performed to determine the source of the slowdown and seek remediation.
· Open Session Response Times: In addition to monitoring the individual action response times, the Open session response times will also be evaluated in order to ensure the server remains responsive over the course of the experiment.
2.2 Tools
In order to simulate user activity and capture the evaluation metrics discussed in section 2.1 a number of tools must be used:
·
Server.Load: The Server.Load is a capacity-planning tool that is used to run tests against a targeted Domino server to measure server capacity and response metrics.
· Domino
showstats data: The Domino showstats captures important server metrics. A Testnsf client driver may be used to execute the showstats console command at regular intervals for each server in the configuration and will provide Domino-specific data. The resulting data is logged in a text file and may be graphed for analysis.
·
Open session: The Open session tool measures mail file request/response times. It will open a view of a mail database at a set time interval and record the response time in milliseconds. As a result, a server slow down may be identified by analyzing the resulting response times.
2.3 Evaluation Process
The server.load tools were used to place load on the Domino server. In order to simulate realistic load on the Domino server a total of 4 client drivers running server.load were used.
The DWA test ran 24 hours per day for 7 days, while the 8.5.1 Mail script ran from 8.00 AM and stopped at 6.00 PM. There was a ramp up and ramp down period of one hour. This replicates a real scenario within a company.
In order to isolate the performance of the Domino server under load from a single user perspective for standard Notes mail, a client driver executed a “single user” server.load script.
The results represent a single user experience of how the application will perform at busy times of the day when the server is heavily loaded.
There is SAN Storage used for these tests.
2.4 Scenario: Online Mode
The scenario evaluates the performance of Lotus Notes Clients in online mode. Online mode means that the user mail files are stored and maintained on the Domino server. Every time a user performs an action the request is sent to the server and the mail file is modified and updated on the server side.
N85Mail Script with attachment size modification |
Workload Actions | Action Count per hour per user current script | Action Count per 24 hour per user current script |
Refresh inbox | 4 | 96 |
Read Message | 20 | 480 |
Reply to all | 2 | 48 |
Send Message to one recipient | 4 | 96 |
Send Message to three recipient | 2 | 48 |
Create appointment | 4 | 96 |
Send Invitation | 4 | 96 |
Send RSVP | 4 | 96 |
Move to folder | 4 | 96 |
New Mail poll | 4 | 96 |
Delete two documents | 4 | 96 |
Total Messages sent | 16 | 384 |
Total Transactions | 52 | 1248 |
Table 1 shows the action workload of the built in N85Mail script with modifications to the attachment size. The script reflects the workload that is expected of a single user over the course of a day.
Message Distribution in N85 Mail Script |
Message size distribution | Percent of messages sent | Attachment size ( if any ) |
0 < size <= 1k | 6.9% | N/A |
1k < size <= 10k | 68% | N/A |
10k < size <= 100k | 21.0% | 50 KB |
100k < size <= 1mb | 3.5% | N/A |
1mb < size <= 10mb | .6% | 10 MB |
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Table 2
The resulting mail distribution is shown in table 2.
N85DWA Script with attachment size modification |
Workload Actions | Action Count per hour per user current script | Action Count per 24 hour per user current script |
Refresh inbox | 4 | 96 |
Read Message | 20 | 480 |
Reply to one message | 4 | 96 |
Send Message to one recipient | 4 | 96 |
Send Message to three recipient | 4 | 96 |
Create appointment | 4 | 96 |
Send Invitation | 4 | 96 |
Send RSVP | 4 | 96 |
Move to folder | 4 | 96 |
New Mail poll | 12 | 288 |
Delete two documents | 4 | 96 |
Total Messages sent | 20 | 480 |
Total Transactions | 68 | 1632 |
Table 3
Table 3 shows the action workload of the built in N85DWA script with modifications to the attachment size. The script reflects the workload that is expected of a single user over the course of a day.
Message Distribution in N85 DWA Script |
Message size distribution | Percent of messages sent | Attachment size ( if any ) |
0 < size <= 1k | 5.8% | N/A |
1k < size <= 10k | 62% | N/A |
10k < size <= 100k | 29% | 50 KB |
100k < size <= 1mb | 3% | N/A |
1mb < size <= 10mb | .2% | 10 MB |
|
Table 4
The resulting mail distribution is shown in table 4.
3 Test drivers
The workload is generated by six “driver” workstations:
· Driver1
· Driver2
· Driver3
· Driver4
· Driver5
· Driver6
Driver5 and Driver6 are additionally used for a Lotus Notes Administration client and for running statistics collection and monitoring delays in opening databases routinely on each Domino partitioned server.
4 Conclusion and Summary
The test results demonstrate that the Windows x32 VMware machine configured as described in this report was able to support up to 2000 concurrent, active Notes 8.5.1 users per Domino Server with an average response time below 2 seconds.
The addition of other application workloads will affect the number of users supported as well as the response time.
Achieving optimum performance in a customer environment is highly dependent upon selecting adequate processor power, memory and disk storage as well as balancing the configuration of that hardware and appropriately tuning the operating system and Domino software.
5 Configuration settings
Server Notes.ini
The following notes.ini variable was added to each of the Domino Servers:
DAOSDeferredDeleteInterval=30 (This deletion of NLO files is known as “pruning” and occurs at the specified “Deferred Deletion Interval.”)
DAOSBasePath=DAOS (DAOS base path, if you leave it DAOS, and your data directory is C:\Lotus\Domino\Data, the full path to the repository would be C:\Lotus\Domino\Data\DAOS)
DAOSMinObjSize=64000 (the minimum size setting for an attachment to make use of DAOS is 64000 bytes.)
DAOSEnable=1 (Enabling DAOS)
NSF_Buffer_Pool_Size_MB=300 (sets the NSF buffer pool to a static size)
DAOS_CATALOG_VERSION=3 (DAOS Catalog version to be set 3)
DAOSCatalogState=2 (state of the DAOS catalog)
CREATE_R85_DATABASES=1 (to enable ODS 51 as the default)