The most important thing is to understand where the time goes. Situations when there are no bottlenecks and every class contributes to poor performance in equal measure are pretty rare. What you need is to a) understand what threads are primarily involved in productive work and then b) draw a chart describing what each of these thereads is busy doing (e.g. 50% of the time spent waiting for JDBC queries and 50% of the time doing XML processing). You can hardly achieve this without Java performance analysis tools for System i. IBM Job Watcher is what immediately springs to mind, but JW data is not easy to analyse, to say the least. There are other tools, some of them pretty good, but none of them in the Open Source domain, as far as I know. As for the magic button, there is none, I'm afraid. I would be suprised if memory alone could make you happy. That is, unless you're running your JVM in a 50MB pool. Lo -----Original Message----- From: albartell To: 'Java Programming on and around the iSeries / AS400' Sent: 10/16/06 4:12 PM Subject: Optimizing Native Java Hi All, I am just completing a project where I wrote a Java proxy of sorts and there were a bunch of third party jar files involved in the mix. To make a long story short we are not satisfied with the performance we are getting out of the Java processes on the iSeries (note the Java is running in it's own job listening to a data queue - only one JVM startup). We have run the CRTJVAPGM against all .class and .jar files involved and are wondering are there any other mechanisms to look at concerning getting more speed on the Java end? Obviously one solution would be to throw more memory at it, but is there a way to section off the memory so this Java process gets sole use of it (similar to how you can do the same for Websphere Application Server)? Any other idea's? Aaron Bartell New Tool! - RPG Chart Engine - visit www.mowyourlawn.com <http://www.mowyourlawn.com/> for more info.
As an Amazon Associate we earn from qualifying purchases.
Operating expenses for this site are earned using the Amazon Associate program and Google Adsense.