I guess it's difficult to do a really accurate scalability test for simulating a huge number of simultaneous users.
I heard one interesting comment in a video (don't remember which video) about Google App Engine though. To make an accurate load test on Google App Engine it has to be done over a period of time that allows Google App Engine to spawn new server instances. To just go from small load to suddenly hitting the App Engine with a massive number of hits will not give an accurate results since the App Engine must be given some time to adapt to the increased load (to spawn new server instances). I can imagine something like a binary tree of servers. At low load only one server is handling requests. When the load increases above a certain threshold then two new servers are activated to handle requests, and so on in a binary tree fashion. This is just a guess. How the scalability is done in GAE may be something entirely different, but as I understand it GAE has some form of gradual growth of scalability. --~--~---------~--~----~------------~-------~--~----~ You received this message because you are subscribed to the Google Groups "Google App Engine" group. To post to this group, send email to google-appengine@googlegroups.com To unsubscribe from this group, send email to [EMAIL PROTECTED] For more options, visit this group at http://groups.google.com/group/google-appengine?hl=en -~----------~----~----~----~------~----~------~--~---
