On Sat, Dec 29, 2007 at 08:44:31AM -0800, Sambasiva Rao Andaluri wrote:
> Hi,
> We are developing a Java application that consumes real time equity market 
> data. The application is run on a 2 CPU dual core Opteron box (4 cores with 
> each 2593Mhz) with about 16GB RAM. The JVM is run in Server mode with 2 GB 
> heap. Currently we are experiencing some performance issues due to Garbage 
> collection. JVM uses the default Parallel Garbage collector with 4 threads. 
> Due to the nature of the application, any stop-the-world garbage collection 
> activity (for about 7 seconds) is making a huge impact on our application due 
> to a large number of market data messages (about 1000-3000 messages per sec) 
> that can queue up application needs to recover or process causing severe 
> latencies in message processing. We currently using -Xms and -Xmx options set 
> to the same value for tuning the heap based on Sun's documentation.
> 
> I have couple of questions:
> 1. Is there a way to avoid the garbage collection completely by allocating 
> large amount of heap. 
> 2. What other JVM options we can use to tune the Garbage collection to make 
> it quicker. We tried the Concurrent Mark Sweep GC without success (we 
> encountered an out of memory error within few minutes of application startup)

Maybe I don't answer directly but could you send us 'prstat' while
running the application and then 'prstat -mL -p <pid of your java app>'.

Regards
przemol

--
http://przemol.blogspot.com/





















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