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Performance Tuning Guide - EMC Community Network

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Measuring <strong>Performance</strong><br />

Build in realistic idle time — Provide realistic idle time between user operations. Base your built-in<br />

idle time on expectations of real-user behavior. Real-user delays between successive operations result<br />

from "think time", coffee breaks, or other forms of distraction. Your testing scenario can bundle many<br />

concurrent users to create high aggregate volume of incoming operation requests. However, the<br />

better you can model each user session with the appropriate between operation delays, the better<br />

your multi-user testing can approximate performance expectations for the production system.<br />

Monitor coarse grain metrics — Setup monitors to record coarse grain performance metrics on all<br />

hardware. Bottlenecks can occur in any tier of the hardware infrastructure. Conduct a more detailed<br />

analysis of those areas indicated as a problem by the coarse grain performance metrics. The coarse<br />

grain performance metrics are:<br />

• CPU consumption of the servers<br />

• memory consumption of the servers<br />

• network bandwidth consumption<br />

• response time of a few key operations<br />

• I/O activities of the servers or storage.<br />

Run peak volume in steady state — Run each multi-user test and record the result for a steady state<br />

period of at least 30 minutes. Keep each multi-user test run within several hours, including the<br />

ramp-up time for adding users. Figure 34, page 82 illustrates a multi-user test in which it took 1.5<br />

hours to ramp-up 4,000 users, which then ran at the 4,000 user steady state for one hour.<br />

Figure 34. Ramping up number of users<br />

82 <strong>EMC</strong> Documentum xCP 1.0 <strong>Performance</strong> <strong>Tuning</strong> <strong>Guide</strong>

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