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Microsoft Sharepoint Products and Technologies Resource Kit eBook

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■ Divisional portal site access<br />

■ Windows SharePoint Services site usage<br />

■ My Site usage<br />

Chapter 9: Capacity Planning 213<br />

The following example illustrates how to estimate required throughput for a<br />

divisional portal site component of the total workload. Table 9-1 shows sample characteristics<br />

representing a divisional portal site supporting approximately 10,000<br />

users. This is a reasonably diverse workforce group, using a mix of common portal<br />

site functions <strong>and</strong> a small percentage of complex functions. Most users typically<br />

access the site through simple activities such as locating information by browsing<br />

categories, searching for documents that match their needs, or reading divisional<br />

news or announcements on the Home page.<br />

Note Document collaboration functions (including document check-in <strong>and</strong><br />

document upload) are weighted differently than other functions. These more<br />

complex activities take several steps to accomplish. Therefore, they should<br />

be rated as three times as intense as other functions.<br />

Table 9-1 Characteristics Representing a Divisional Portal Site<br />

Characteristic Value<br />

Number of potential users 10,000<br />

Percent of active users per day 80<br />

Number of common operations per active user per day 32 × (weight = 1.0) = 32<br />

Number of complex operations per active user per day + 8 × (weight = 3.0) = 24<br />

Number of operations per active user per day 56<br />

Number of hours per day 12<br />

Peak factor 4<br />

10000 users × 80 % usage × 56 operations × 4 peak = 41.48 ops/sec<br />

360000 × 12 hours per day<br />

As shown, these characteristics yield a predicted peak throughput requirement<br />

of about 42 operations per second. To run just this portal site, a medium server farm<br />

with two load-balanced front-end Web servers, an indexing server, <strong>and</strong> a server<br />

running the SQL component would be needed. A rough estimate for performance<br />

is each 1 GHz of processing power in the front-end servers can support 9 to 10

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