x/synergy-scheduler-manager
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Lisa Zangrando 23e9382c7d Added support for notifications to KeystoneManager 
This update enables KeystoneManager to receive asynchronous
notifications about the users and projects status from Keystone
service

Change-Id: Ia75b89c825bb8536e0462eff7a873699b219d781
Sem-Ver: bugfix
2017-07-18 10:13:31 +00:00
config
Added support for notifications to KeystoneManager
2017-07-18 10:13:31 +00:00
doc/source
import project from launchpad
2016-06-02 15:04:52 +02:00
packaging
Release v2.4.0
2017-03-21 14:18:13 +00:00
synergy_scheduler_manager
Added support for notifications to KeystoneManager
2017-07-18 10:13:31 +00:00
.coveragerc
import project from launchpad
2016-06-02 15:04:52 +02:00
.gitreview
Added .gitreview
2016-03-23 08:36:50 +00:00
.testr.conf
import project from launchpad
2016-06-02 15:04:52 +02:00
AUTHORS
use pbr fully for easier package building
2016-10-17 13:51:42 +02:00
babel.cfg
import project from launchpad
2016-06-02 15:04:52 +02:00
ChangeLog
Release v2.4.0
2017-03-21 14:18:13 +00:00
CONTRIBUTING.rst
import project from launchpad
2016-06-02 15:04:52 +02:00
HACKING.rst
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LICENSE
import project from launchpad
2016-06-02 15:04:52 +02:00
MANIFEST.in
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2016-06-02 15:04:52 +02:00
README.rst
Update of the link to the Synergy documentation
2017-01-30 14:37:02 +01:00
requirements.txt
Release v2.4.0
2017-03-21 14:18:13 +00:00
setup.cfg
Scheduler managers enhanced
2016-10-28 15:27:04 +02:00
setup.py
Remove versions for required packages
2016-10-27 11:18:30 +02:00
test-requirements.txt
add more unit tests to managers
2016-06-16 17:32:37 +02:00
tox.ini
Cleanup tox.ini: Remove obsolete constraints
2016-08-26 18:15:44 +02:00

README.rst

SYNERGY SCHEDULER MANAGER

The Scheduler Manager

Synergy is as a new extensible general purpose management OpenStack service. Its capabilities are implemented by a collection of managers which are specific and independent pluggable tasks, executed periodically or interactively. The managers can interact with each other in a loosely coupled way. The Scheduler Manager provides advanced scheduling (fairshare) capability for OpenStack. In particular it aims to address the resource utilization issues coming from the static allocation model inherent in the Cloud paradigm, by adopting the dynamic partitioning strategy implemented by the advanced batch schedulers.

Description
Provide advanced scheduling capability for OpenStack using a fairshare algorithm. This is a manager for synergy-service.
Readme 1 MiB
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