Machine <IP_address> has been started with not enough memory

I am using Cloudify 2.7 with OpenStack Icehouse.

I developed a tomcat recipe and deployed it. In the orchestrator log of the cloudify console, I read the following WARNING:

2015-06-04 11:05:01,706 ESM INFO [org.openspaces.grid.gsm.strategy.ScaleStrategyProgressEventState] - [tommy.tomcat] machines SLA enforcement is in progress.; Caused by: org.openspaces.grid.gsm.machines.exceptions.ExpectedMachineWithMoreMemoryException: Machines SLA Enforcement is in progress: Expected machine with more memory. Machine <Public_IP>/<Public_IP> has been started with not enough memory. Actual total memory is 995MB. Which is less than (reserved + container) = (0MB+3800MB) = 3800MB

The Flavor of the VM is: 4GB RAM, 2vCPU, 20GB Disk

Into the cloud driver I commented the following line:

//reservedMemoryCapacityPerMachineInMB 1024

and configured the compute section related to the flavor as following:

computeTemplate
                    {
                imageId <imageID>
                machineMemoryMB 3900
                hardwareId <hardwareId>
                ...
                }

Can someone help me to pointing out the error? Thanks.

The error message states that the actual available memory is only 995MB, which is considerably less than the expected 4GB. To clarify that:

1. do you run multiple services on the same machine?
2. maybe the VM really has less memory than expected. please run 'cat /proc/meminfo' on the started VM to verify the exact memory it has

In principle, you should not comment out any setting of reserved memory because Cloudify must take that into account - this setting is supposed to represent the memory used by the OS and other processes. additionally, the orchestrator (ESM) takes into account ~100 MB for cloudify to run freely. So, please update machineMemoryMB to the value calculated this way:

(the number returned by 'cat /proc/meminfo') - 1024 - 100