Basic Offline Server Consolidation

Basic Offline Server Consolidation

Synopsis

display name: basic

goal: server_consolidation

Good server consolidation strategy

Consolidation of VMs is essential to achieve energy optimization in cloud environments such as OpenStack. As VMs are spinned up and/or moved over time, it becomes necessary to migrate VMs among servers to lower the costs. However, migration of VMs introduces runtime overheads and consumes extra energy, thus a good server consolidation strategy should carefully plan for migration in order to both minimize energy consumption and comply to the various SLAs.

This algorithm not only minimizes the overall number of used servers, but also minimizes the number of migrations.

It has been developed only for tests. You must have at least 2 physical compute nodes to run it, so you can easily run it on DevStack. It assumes that live migration is possible on your OpenStack cluster.

Requirements

Metrics

The basic strategy requires the following metrics:

metric service name plugins comment
compute.node.cpu.percent ceilometer none  
cpu_util ceilometer none  

Cluster data model

Default Watcher’s Compute cluster data model:

Nova cluster data model collector

The Nova cluster data model collector creates an in-memory representation of the resources exposed by the compute service.

Actions

Default Watcher’s actions:

action description
migration

Migrates a server to a destination nova-compute host

This action will allow you to migrate a server to another compute destination host. Migration type ‘live’ can only be used for migrating active VMs. Migration type ‘cold’ can be used for migrating non-active VMs as well active VMs, which will be shut down while migrating.

The action schema is:

schema = Schema({
 'resource_id': str,  # should be a UUID
 'migration_type': str,  # choices -> "live", "cold"
 'destination_node': str,
 'source_node': str,
})

The resource_id is the UUID of the server to migrate. The source_node and destination_node parameters are respectively the source and the destination compute hostname (list of available compute hosts is returned by this command: nova service-list --binary nova-compute).

change_nova_service_state

Disables or enables the nova-compute service, deployed on a host

By using this action, you will be able to update the state of a nova-compute service. A disabled nova-compute service can not be selected by the nova scheduler for future deployment of server.

The action schema is:

schema = Schema({
 'resource_id': str,
 'state': str,
})

The resource_id references a nova-compute service name (list of available nova-compute services is returned by this command: nova service-list --binary nova-compute). The state value should either be ONLINE or OFFLINE.

Planner

Default Watcher’s planner:

Weight planner implementation

This implementation builds actions with parents in accordance with weights. Set of actions having a higher weight will be scheduled before the other ones. There are two config options to configure: action_weights and parallelization.

Limitations

  • This planner requires to have action_weights and parallelization configs tuned well.

Configuration

Strategy parameter is:

parameter type default Value description
migration_attempts Number 0 Maximum number of combinations to be tried by the strategy while searching for potential candidates. To remove the limit, set it to 0
period Number 7200 The time interval in seconds for getting statistic aggregation from metric data source

Efficacy Indicator

{'value': 0, 'name': 'released_nodes_ratio', 'unit': '%', 'description': u'Ratio of released compute nodes divided by the total number of enabled compute nodes.'}

How to use it ?

$ openstack optimize audittemplate create \
  at1 server_consolidation --strategy basic

$ openstack optimize audit create -a at1 -p migration_attempts=4
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