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Docs script edit + better precision in verbose tracer + progress bar updates

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rparedis 2023-10-12 11:12:48 +02:00
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Copyright 2014 Modelling, Simulation and Design Lab (MSDL) at
McGill University and the University of Antwerp (http://msdl.cs.mcgill.ca/)
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
Activity Tracking
=================
Activity tracking will perform the most generic approach available: measuring the time every transition function takes, accumulating all these values and calculating the complete load of the node.
When using the *basic boundary relocator*, the current allocation will be mutated in such a way that every node gets approximately the same load. Sometimes this will not yield decent results, since the approach is too general and uses a greedy algorithm. It should therefore only be used in very simple situations where the number of possible mutations is rather limited. A simple example of this is a queue which has only one input and one output port.
The *basic boundary relocator* takes a single argument: the swappiness. This simply defines what threshold to use for 'unacceptable load distribution'. A swappiness of 2 for example, will only try to offload nodes that have an activity twice as big as the average activity. Setting a too low swappiness will cause many (often unnecessary) relocations, while setting a too high swappiness will prevent relocations completely.
To start a distributed simulation with *general activity tracking*, the configuration is::
sim = Simulator(CQueue())
swappiness = 1.3
sim.setActivityRelocatorBasicBoundary(swappiness)
sim.simulate()