如我们所知，计算节点高可用的数据采集和收集功能扩展自ceilometer，而正常情况下如果云产品已经集成具备一般功能的ceilometer，所以如果对计算节点高可用功能有需求，需要对原先的ceilometer进行升级（安装）操作。
其实升级就是我们通过新package把ceilometer重新装一遍，具体过程下文将一一展开说明。
下载ceilometer安装包，假设安装包名称：ceilometer_6.2.0-1~u14.04+mos38~1.gbp6d1af1.zip，通过md5sum保存安装包的MD5码（以便我们在把安装包拷贝到生产/测试环境之后确认安装包是否OK），而安装包里具体的文件组成大致会如下图所示：
- ceilometer安装包构成
在升级之前，建议把每个控制节点和计算节点上的ceilometer的配置文件拷贝一份以作备份：
cp -fr /etc/ceilometer/ /etc/ceilometer_bak/ceilometer在控制节点和计算节点上各自的功能和角色不一样，所以他们的升级部署会略有不同，下面分两块一一说明。
首先，可以通过执行dpkg -l | grep -i ceilometer-和dpkg -l | grep -i python-ceilometer来查看控制节点原始安装的ceilometer相关的包，然后进行一一升级。
- 控制节点需要安装的ceilometer的包：
其中上图中最底部python-ceilometerclient不需要再重新安装了，剩下的7个由于依赖关系，我们需要先安装python-ceilometer，然后安装ceilometer-common，之后5个不用考虑顺序依次完成安装即可。
我们知道一般ceilometer收集数据的的后端采用的是gnocchi，而为了使用不同的数据库，独立于ceilometer-collector服务新增ceilometer-collector-ha服务，如此就需要新增该服务的启动文件和配置文件。
# 拷贝/etc/init/ceilometer-collector.conf做更改，具体的样式可参照下图(只列出更改部分)
cp /etc/init/ceilometer-collector.conf /etc/init/ceilometer-collector-ha.conf- 截图如下
另外，如果考虑到后续程序要被CRM管理实现该可用，开机启动也应该被禁掉。
从上图ceilometer-collector-ha的启动文件不难看出，这个新增的服务会有自己的配置文件ceilometer_ha.conf，这个文件是从ceilometer.conf拷贝而来然后再进行编辑，具体的样式可如下：
[DEFAULT]
# Polling namespace(s) to be used while resource polling (list value)
# Allowed values: compute, central, ipmi
polling_namespaces = central
# Dispatchers to process metering data. (multi valued)
# Deprecated group/name - [DEFAULT]/dispatcher
meter_dispatchers = database
# If set to true, the logging level will be set to DEBUG instead of the default INFO level. (boolean value)
debug = false
# If set to false, the logging level will be set to WARNING instead of the default INFO level. (boolean value)
# This option is deprecated for removal.
# Its value may be silently ignored in the future.
verbose = true
[collector]
# Address to which the UDP socket is bound. Set to an empty string to disable. (string value)
udp_address = 0.0.0.0
# Port to which the UDP socket is bound. (port value)
# Minimum value: 0
# Maximum value: 65535
udp_port = 4953
[database]
# Number of seconds that samples are kept in the database for (<= 0 means forever). (integer value)
# Deprecated group/name - [database]/time_to_live
metering_time_to_live = 1800
# The SQLAlchemy connection string to use to connect to the database. (string value)
# Deprecated group/name - [DEFAULT]/sql_connection
# Deprecated group/name - [DATABASE]/sql_connection
# Deprecated group/name - [sql]/connection
connection = mysql://ceilometer:ceilometer123@192.168.0.2/ceilometer?charset=utf8
[publisher]
# Secret value for signing messages. Set value empty if signing is not required to avoid computational overhead. (string value)
# Deprecated group/name - [DEFAULT]/metering_secret
# Deprecated group/name - [publisher_rpc]/metering_secret
# Deprecated group/name - [publisher]/metering_secret
telemetry_secret = nmWpu7Pu8DDWhQ3oPaBpVQjnservice ceilometer-collector-ha start跟在控制节点安装的过程类似，具体要安装的包如下图所示，至于一些安装过程中需要注意的细节可参照控制节点的上安装说明。
- 要安装的包
我们知道，ceilometer计算节点上的服务是用来采集数据的，为防止其他数据采集异常影响计算节点高可用服务程序的判断，独立于ceilometer-polling服务新增ceilometer-polling-ha服务，如此就需要新增该服务的启动文件和配置文件。
upstart管理的服务启动文件跟在控制节点处理类似，此处就不再赘述。
这一块可能需要我们稍微注意一下，首先需要处理的配置文件有三个：/etc/ceilometer/{ceilometer_ha.conf, pipeline.yaml, pipeline_ha.yaml}，如下会分别给出这三个文件的样式供参考。
- /etc/ceilometer/pipeline.yaml
- /etc/ceilometer/ceilometer_ha.conf
[DEAFULT]
# Polling namespace(s) to be used while resource polling (list value)
# Allowed values: compute, central, ipmi
polling_namespaces = compute
# List of metadata keys reserved for metering use. And these keys are additional to the ones included in the namespace. (list value)
reserved_metadata_keys = cluster
# Configuration file for pipeline definition. (string value)
pipeline_cfg_file = pipeline_ha.yaml
# If set to true, the logging level will be set to DEBUG instead of the default INFO level. (boolean value)
debug = false
# If set to false, the logging level will be set to WARNING instead of the default INFO level. (boolean value)
# This option is deprecated for removal.
# Its value may be silently ignored in the future.
verbose = true
# Log output to standard error. This option is ignored if log_config_append is set. (boolean value)
use_stderr = false
# The messaging driver to use, defaults to rabbit. Other drivers include amqp and zmq. (string value)
# rpc_backend = rabbit
[compute]
# Some storage address used to check storage-connectivity. (string value)
storage_server_address = 192.168.0.10, 192.168.0.20
# Count of ping storage gateway. (integer value)
ping_count = 4
# Ping loss ratio that can be accepted. (floating point value)
ping_loss_ratio = 0.5
[keystone_authtoken]
# Complete public Identity API endpoint. (string value)
auth_uri = http://192.168.0.2:5000/v2.0
[publisher]
# Secret value for signing messages. Set value empty if signing is not required to avoid computational overhead. (string value)
# Deprecated group/name - [DEFAULT]/metering_secret
# Deprecated group/name - [publisher_rpc]/metering_secret
# Deprecated group/name - [publisher]/metering_secret
telemetry_secret = nmWpu7Pu8DDWhQ3oPaBpVQjn
[service_credentials]
# Region name to use for OpenStack service endpoints. (string value)
# Deprecated group/name - [DEFAULT]/os_region_name
region_name = RegionOne
# Type of endpoint in Identity service catalog to use for communication with OpenStack services. (string value)
# Allowed values: public, internal, admin, auth, publicURL, internalURL, adminURL
# Deprecated group/name - [DEFAULT]/os_endpoint_type
interface = internalURL
# Authentication URL (unknown value)
auth_url = http://192.168.0.2:5000/v2.0/
# Project name to scope to (unknown value)
# Deprecated group/name - [DEFAULT]/tenant-name
project_name = services
# Username (unknown value)
# Deprecated group/name - [DEFAULT]/user-name
username = ceilometer
# User's password (unknown value)
password = a1b2c3d4e5- /etc/ceilometer/pipeline_ha.conf
service ceilometer-polling-ha start另：以上的安装过程在所有的控制节点和计算节点上均需操作。
很显然如果是人工来完成上述的安装升级操作，这一套流程还是很复杂的且费时，所以建议将其集成到FUEL或者其他自动化部署Openstack集群的的工具当中；另外控制节点上收集数据的服务及UMHA服务可以通过CRM管理也做个高可用，如此计算节点高可用功能体验或许会更好。