openstack
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watcher
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Resource optimization service for OpenStack.
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junjie huang 8ebc898924 outlet Temperature based migration strategy 
It implements one of the algorithm of Intel thermal POC.
It extends the BaseStrategy class, getting the Outlet
metrics of servers via Ceilometer, and generates solutions
when the outlet Temperature is greater than threshold.
current threshold is hard-coded, will make it configurable
in the next patches.

Implements: blueprint outlet-temperature-based-strategy

Change-Id: I248147329d34eddf408652205a077895be572010
Co-Authored-By: Zhenzan Zhou <zhenzan.zhou@intel.com>
 		2015-12-28 21:29:08 +00:00
doc/source Move glossary.rst to root folder of doc 2015-12-21 13:14:06 -06:00
etc/watcher Code refactoring - StrategyContext and Auditendpoint 2015-12-18 14:25:07 +00:00
watcher outlet Temperature based migration strategy 2015-12-28 21:29:08 +00:00
.coveragerc Remove pragma no cover from code 2015-12-15 10:14:40 +01:00
.gitignore consolidation of watcher 2015-10-22 17:04:14 +02:00
.gitreview fix dependencies version 2015-10-22 16:34:14 +02:00
.mailmap initial version 2015-06-04 15:27:57 +02:00
.testr.conf initial version 2015-06-04 15:27:57 +02:00
CONTRIBUTING.rst initial version 2015-06-04 15:27:57 +02:00
HACKING.rst Add Creative Commons Attribution header to documentation 2015-12-20 01:51:00 -06:00
LICENSE initial version 2015-06-04 15:27:57 +02:00
MANIFEST.in initial version 2015-06-04 15:27:57 +02:00
README.rst Add Creative Commons Attribution header to documentation 2015-12-20 01:51:00 -06:00
babel.cfg initial version 2015-06-04 15:27:57 +02:00
requirements.txt add missing keystoneclient dependency 2015-12-02 11:36:15 +00:00
setup.cfg outlet Temperature based migration strategy 2015-12-28 21:29:08 +00:00
setup.py initial version 2015-06-04 15:27:57 +02:00
test-requirements.txt Include terminology definition from docstring 2015-12-15 11:38:42 +01:00
tox.ini Remove *.pyc files before running tox tests 2015-12-17 11:59:54 +01:00

README.rst

Watcher

OpenStack Watcher provides a flexible and scalable resource optimization service for multi-tenant OpenStack-based clouds. Watcher provides a complete optimization loop—including everything from a metrics receiver, complex event processor and profiler, optimization processor and an action plan applier. This provides a robust framework to realize a wide range of cloud optimization goals, including the reduction of data center operating costs, increased system performance via intelligent virtual machine migration, increased energy efficiency—and more!