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Thanks for writing. Those are good questions.
(1) Basically, what you're asking is, does an AJAX application that uses JavaScript code locally eat so much computer time that it would affect the reality of the loading experiment?
The answer is, maybe yes and maybe no: it depends on the application.
In most cases JavaScript in an application most affects performance in the first page or two that is loaded into the browser space. That is when the majority of the JavaScript code is transferred in.
After it's loaded in, from what we can tell at least, most AJAX applications don't consume a lot of CPU resources.
Not zero or 1% CPU utilization certainly, but not pegged to 100% either.
There are some notable exceptions and usually these are related to the more sophisticated email applications, in which almost all of the display generation and message processing is done locally. So in those cases we do see 100% CPU for a time.
(2) Input/Output traffic can also be an issue, and to be honest the combination of heavy I/O traffic PLUS heavy CPU load can cause some skewing of loading results.
Gmail, to take a typical example, downloads about 2.2 MBytes just to open up an account, includes about 75 URLs, and takes sometimes 15-20 seconds to get ready.
So for server loading you have to be aware of which tests impose high I/O traffic, and also which ones have a big download footprint.
You can get the data on this easily from eValid's EventLog by simply running the test as a singleton. The Playback Summary Record shown at the end off the EventLog gives you all of the key facts about that particular playback.
So, in direct answer to boty (1) and (2), there are functional tests that would run you out of CPU and I/O capacity in a 125 parallel browser situation. With careful planning -- and knowledge of the details in advance -- your loading experiments will be perfectly valid.
_________________ eValid Tech Support Team
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