The flag (of type list) you can use is "--least_cost_functions"
Multiple algorithms can be specified, the default one is 
"compute_fill_first_cost_fn" which gives priority to the compute host 
(XenServer/ESX etc.) with more free RAM.

Regards,
Sateesh

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From: openstack-bounces+sateesh.chodapuneedi=citrix....@lists.launchpad.net 
[mailto:openstack-bounces+sateesh.chodapuneedi=citrix....@lists.launchpad.net] 
On Behalf Of Razique Mahroua
Sent: Thursday, November 10, 2011 4:12 PM
To: Jorge Luiz Correa
Cc: openstack@lists.launchpad.net
Subject: Re: [Openstack] Four compute-node, everytime the 1st and 2nd are 
choosen

+1 :)

Razique Mahroua
razique.mahr...@gmail.com<mailto:razique.mahr...@gmail.com>

[cid:image002.jpg@01CC9FD5.EC50CAF0]

Le 10 nov. 2011 à 11:27, Jorge Luiz Correa a écrit :


Is there a flag in nova.conf that permits we configure that? In documentation 
we can see that exists some algorithms used by scheduler. But, I don't know how 
to choose that one best fit our requirements.

Thanks!
:)
On Wed, Nov 9, 2011 at 1:36 PM, Ed Leafe 
<ed.le...@rackspace.com<mailto:ed.le...@rackspace.com>> wrote:
On Nov 9, 2011, at 7:51 AM, Razique Mahroua wrote:

> I use the default scheduler, in fact, I've never tunned it really.
> The hypervisors all run KVM

       This is where the flag is defined in 
nova.scheduler.least_cost.py<http://nova.scheduler.least_cost.py/>:

 32 FLAGS = flags.FLAGS
 33 flags.DEFINE_list('least_cost_functions',
 34         ['nova.scheduler.least_cost.compute_fill_first_cost_fn'],
 35         'Which cost functions the LeastCostScheduler should use.')

       Since the default weighting function is 'compute_fill_first_cost_fn', 
which, as its name suggests, chooses hosts so as to fill up one host as much as 
possible before selecting another, the pattern you're seeing is expected. If 
you change that flag to 'nova.scheduler.noop_cost_fn', you should see the hosts 
selected randomly. The idea is that you can create your own weighting functions 
that will select potential hosts in a way that best fits your needs.


-- Ed Leafe


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- MSc. Correa, J.L.
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