This commits introduces a new framework for OpenNebula, it is based on
standard the OpenNebula middleware access driver (mad) model. Benefits
compared to the current implementation:
* Less overhead on API server and streamlined communications
* Ease integration with third party schedulers
* New "optimize" action to balance the workload of a cluster
* Embedded Plan Manager to apply optimization and deployment plans with
custom parameters for the scheduling window
* Custom optimization policies per cluster
This commits introduces 2 schedulers:
* Rank scheduler based on the match-making algorithm present in 6.x
series
* OpenNebula DRS an optimization algorithm based on an ILP solver for
placement and cluster optimization
Also new API calls has been added for onecluster as well as the CLI
updates to expose them.
co-authored-by: MarioRobres <mrobres@opennebula.io>
co-authored-by: Pavel Czerny <pczerny@opennebula.io>
co-authored-by: Mirko Stojiljkovic <mstojiljkovic@opennebula.io>
co-authored-by: Valentyn Bohdan <vbohdan@opennebula.io>
* Cleanup oned in case of initialization error
* Fix monitoring after onemonitord restart. The code includes a "hook" point in case a driver is re-started so custom code can be executed. InformationManager sends the list of hosts and raft status in this case.
* B #5801: Update error msg, in case of duplicated drivers
Ruben S. Montero