x/synergy-scheduler-manager
Code Issues Proposed changes
22 Commits 2 Branches 16 Tags
Go to file
Clone
Open with VS Code Open with VSCodium Open with Intellij IDEA
Download ZIP Download TAR.GZ Download BUNDLE
Vincent Llorens b6c1aadd6f Add python-nova as a dependency 
This package imports nova.* python classes that are provided by
python-nova.

Change-Id: I7975856cd905f4d2f260daa71e59bffcb6dce7c8
2016-08-22 16:56:35 +02:00
doc/source
import project from launchpad
2016-06-02 15:04:52 +02:00
packaging
Add python-nova as a dependency
2016-08-22 16:56:35 +02:00
synergy_scheduler_manager
getExpiredServers() fixed
2016-06-17 09:38:19 +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
babel.cfg
import project from launchpad
2016-06-02 15:04:52 +02:00
CONTRIBUTING.rst
import project from launchpad
2016-06-02 15:04:52 +02:00
HACKING.rst
import project from launchpad
2016-06-02 15:04:52 +02:00
LICENSE
import project from launchpad
2016-06-02 15:04:52 +02:00
MANIFEST.in
import project from launchpad
2016-06-02 15:04:52 +02:00
README.rst
Fix broken link to doc in README
2016-07-25 10:54:33 +02:00
requirements.txt
bump to version 1.0.0
2016-06-17 15:43:56 +02:00
setup.cfg
Add python-nova as a dependency
2016-08-22 16:56:35 +02:00
setup.py
import project from launchpad
2016-06-02 15:04:52 +02:00
test-requirements.txt
add more unit tests to managers
2016-06-16 17:32:37 +02:00
tox.ini
import project from launchpad
2016-06-02 15:04:52 +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
Languages
Python 95.4%
RPM Spec 2.1%
Shell 1.7%
Dockerfile 0.4%
Makefile 0.3%