when you get to that point, knock on my door. There are huge perf gains to be realized by using protocol stack specs that are optimally tuned to the task at hand. E.g. for large sustained message tests, you would *not* fare well with the default properties for JavaGroups.
Cheers,
Kevin Duffey wrote:
Very good stuff! Question, how can we proceed in testing a clustered setup along similar lines as you have done here? I am curious to see how effective scaling a given application is. From a single node, to two nodes, to three nodes, then on to a second partition and so forth. It would be extremely helpfull if the JBoss site posted some information regarding use of JBoss in a true enterprise situation, where clustering, scaling and so forth is examined in detail. I think that would go a long way to credit JBoss as being enterprise worthy, even though it already is well on its way to that credibality.
A fellow JBoss enthusiast and I are looking at developing a simple J2EE application and some testing procedures to test as I have described above. It is more of a generic J2EE app that should allow testing of clustering in any J2EE app server, but in general we are targeting JBoss.
My initial test idea was testing single client to one ejb bean (stateless) 1000's of requests, measuring the length between request/response, maybe measuring timing on the server side, and so forth. There would be a client swing app that runs these tests, grabs the data, etc. On the J2EE app, it would send data back in some form to offer at least the measurement of tasks. This wouldn't easily translate into any other applications performance, but it might give the industry using Jboss some sort of idea how well it can cluster, scale, etc. What do you think? Have you already done this?
-- Bela Ban http://www.javagroups.com Cell: (408) 316-4459
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