Validating user calculating server
To decide how to scale, we need a benchmark for HTTP server performance.
We spread the load across the servers, and give each server its maximum number of concurrent connections: Having derived the “raw” values for Requests per second and therefore seconds per Request, we can apply a scaling factor which gives an indication of the amount of scale-out or scale-up necessary to acheive the required performance.
Define: Your choice of scaling point depends on the bottlenecks in the system.
Verify that the entry in the Server document field "Run unrestricted methods and operations" is correct and contains the name Sametime Development/Lotus Notes Companion Products. Verify that the database is signed with the server id.
This topic provides you with a method that shows how to determine your server sizing requirements, specifically focusing on the hardware that is needed to support a group of users.
If your application produces many small requests to the database, consider scaling out the database servers; if the queries are CPU-intensive on the database, consider scaling up the database.
If your application receives many small-to-medium size requests at the web tier, scale out the web servers.
Let’s say we run the tests on a single-CPU Intel Pentium M @ 1400MHz; this has a Pass Mark score of 320.
We run the performance tests (requesting one of say 200 ~32KB images at random), and determine that this system can support the following: Assuming that this is a CPU-bound application, we would expect to see the performance scale with the Pass Mark value, so a system with a Pass Mark value of 610 (e.g.
When you calculate megacycles/mailbox and IOPS/mailbox, use the current number of mailboxes on that server.
For detailed steps about how to calculate megacycles per mailbox, see How to Calculate Megacycles per Mailbox.
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