Using Load Simulator

If you are trying to determine the optimum number of users per server on your own, it is important to represent the users as accurately as possible. Some organizations have no idea how their user base will use Microsoft Exchange Server because they may have never had any messaging products on which to base their numbers. Other organizations will have some idea, based on previous experience, as to how their users will use a messaging platform. However, Microsoft Exchange Server may provide features and functionality that have never been available to their user community, so the organization may not fully understand what impact these new features can have.

For testing purposes, users are classified as having low, medium, and heavy usage. Initially, the users' states were as follows:

Parameter

Low-Usage User

Medium-Usage User

Heavy-Usage User

Number of non-default folders

20

40

60

Number of messages per folder

5

5

5

Number of messages in Inbox

1

4

9

Number of messages in Deleted Items folder

1

1

1


For testing purposes, we defined low-usage users as those who do the following on a daily basis:

Testing demonstrated that light users:

Medium-usage users were defined as those who do the following on a daily basis:

Testing demonstrated that medium users:

Heavy-usage users were defined as those who do the following on a daily basis:

Testing demonstrated that heavy users:

The data above generated the following computed averages:

Light User

Medium User

Heavy User

Messages sent per day

6.7

19.8

38.6

Messages received per day

20.4

55.9

118.9


The message mix for these users was also varied. Four different message types/sizes were used: 1K, 2K, and 4K messages, plus a message with a 10K attachment. A mix of these messages was used for each user type and weighted as follows:

Message Size/Type

Light User

Medium User

Heavy User

1K message

9

7

6

2K message

(none)

2

2

4K message

(none)

(none)

1

10K attachment

1

1

1