Compaq ProLiant 6000 Performance of Microsoft Exchange Server 5.0 on Compaq Pr - Page 4

Introduction, User-initiated Actions and The Quantum Effect

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ECG052.0897 WHITE PAPER (cont.) 4... TEST CONFIGURATION Introduction Two main tools were used to prepare the data for this white paper: • Microsoft Exchange Server LoadSim 5.0 • Microsoft Windows NT Performance Monitor There is an important point to remember when reviewing the data and assumptions in this white paper: A simulation is only as good as the workload characterization. The results presented in this paper may or may not represent your production messaging environment. Due to the complexity of Microsoft Exchange deployments and the number of options with which to deploy the product, careful study and characterization of your messaging environment should be done. To determine the actual performance of a Compaq server product in your environment, it should be characterized, profiled, and simulated against your planned deployment platform. This paper is meant to serve as a tool for making assumptions about Exchange Server performance under different user loads and Compaq hardware configurations. The configuration of test runs selected for this paper is based on a LoadSim Medium profile. This profile most closely represents a typical corporate mail user. When conducting your own Exchange capacity planning studies, it is important to characterize the workload of the mail users in your environment. This can be accomplished in a variety of ways with tools available from both Microsoft and third parties. For more information regarding LoadSim, contact Microsoft Product Support Services or Microsoft on the Web at http://www.microsoft.com. User-initiated Actions and "The Quantum Effect" One way to think of a user-initiated action is as a single, inseparable "quantum" event. In this context a quantum event is one that cannot be subdivided into smaller, component events. Such events have also been called "atomic." Even though user-initiated actions such as reading a message invoke several sequential operations on the client and server computers, they can be treated as quantum events for the purpose of load analysis. In this case, the load a user places on a server can be regarded as evenly distributed in time only when the number of users on the server is high enough to average out the quantum effects of individual usage patterns.

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W
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APER
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T
EST
C
ONFIGURATION
Introduction
Two main tools were used to prepare the data for this white paper:
•
Microsoft Exchange Server LoadSim 5.0
•
Microsoft Windows NT Performance Monitor
There is an important point to remember when reviewing the data and assumptions in this white
paper:
A simulation is only as good as the workload characterization
.
The results presented in this paper may or may not represent your production messaging
environment. Due to the complexity of Microsoft Exchange deployments and the number of
options with which to deploy the product, careful study and characterization of your messaging
environment should be done. To determine the actual performance of a Compaq server product in
your environment, it should be characterized, profiled, and simulated against your planned
deployment platform. This paper is meant to serve as a tool for making assumptions about
Exchange Server performance under different user loads and Compaq hardware configurations.
The configuration of test runs selected for this paper is based on a LoadSim
Medium
profile. This
profile most closely represents a typical corporate mail user. When conducting your own
Exchange capacity planning studies, it is important to characterize the workload of the mail users
in your environment. This can be accomplished in a variety of ways with tools available from both
Microsoft and third parties. For more information regarding LoadSim, contact Microsoft Product
Support Services or Microsoft on the Web at
.
User-initiated Actions and “The Quantum Effect”
One way to think of a user-initiated action is as a single, inseparable “quantum” event. In this
context a quantum event is one that cannot be subdivided into smaller, component events. Such
events have also been called “atomic.”
Even though user-initiated actions such as reading a message invoke several sequential operations
on the client and server computers, they can be treated as quantum events for the purpose of load
analysis. In this case, the load a user places on a server can be regarded as evenly distributed in
time only when the number of users on the server is high enough to average out the quantum
effects of individual usage patterns.