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From Shashank Rachamalla <shashank....@wipro.com>
Subject Re: Automatic scaling decisions based on performance metrics
Date Tue, 09 Feb 2010 05:47:45 GMT
I have to implement this feature in the organization's private cloud..

will check out Amazon's scale feature before i proceed.

Regards,
Shashank

On Mon, 2010-02-08 at 09:38 -0800, anthonyvierra@gmail.com wrote:
> Amazon EC2 has a scale feature that allows scaling based on
> configuration of settings such as memory, processor, etc. Is this the
> service your configuring?
> 
> On 2/8/10, Pid <pid@pidster.com> wrote:
> > 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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