topsim.algorithms.scheduling.Scheduling
- class topsim.algorithms.scheduling.Scheduling[source]
Abstract base class for all Scheduling Algorithms (used in the dynamic allocation by the ‘scheduler’).
The Algorithm base class only requires the single run() method to be implemented; the to_df may simply be used as a stubb.
Notes
It is important to note that the simulation will run with an ‘incorrect’ algorithm. An algorithm is ‘incorrect’ if it attempts to:
Allocate to a machine that is already occupied
Schedule a task to a machine that has already been scheduled.
These will raise RuntimeErrors.
It is also important for the algorithm to take into account
Attributes
LOW_MAX_RESOURCESLOW_REALTIME_RESOURCESMID_MAX_RESOURCESMID_REALTIME_RESOURCESMethods
__init__()run(cluster, planner, clock, plan, schedule, ...)to_df()Produce a Pandas DataFrame object to return current state of the scheduling algorithm
to_string()Return the string name of the implemenation of this class