On 08/02/2010 13:05, Shashank Rachamalla wrote:
Hi
I am currently involved in developing a module which performs automatic
scaling of application server instances based on their performance. I am
using JMX to pull data pertaining to server and underlying jvm on which
the applications are deployed. I can also collect performance data for
guest operating system. We are using mod_jk as load balancer. The
challenging task here is to decide when to scale out and when to scale
in. Please suggest some strategies used to determine the load at a
cluster level based on which scaling decisions can be taken. Also can
any scaling decisions be taken by considering performance statistics of
a single instance in a cluster.
Excellent! This sounds like a great idea for an open source project.
Where is it hosted? I might be interested in contributing...
p
The following are parameters currently monitored for each server
instance.
Guest OS
1) CPU Usage
2) Swap Usage
JVM
1) JVM Free Memory
App Server ( context is / )
1) Maximum Request Processing Time.
2) Number of errors processing requests.
3) Number of errors encountered while processing requests.
Regards,
Shashank
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