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+Find experiments or standard operation that might utilize simulation a bit is not enough.
+Look at the idea of cascading failures.
+A single failure can propagate.
+It makes it difficult simulate to completely.
+Why is it difficult with failures to use naive simulation.
+And then your thesis proposal is that a digital twin would help out these failures.
+The use case that you are specifically looking at is failures.
+Then of course you need to introduce failures.
+You are not focusing enough on digital twinning.
+You should focus more on this than predictive analytics.
+Digital twinning is the key -- argumentation and whatnot, not yet faults or predictive analysis.
+
+
+Opendc-web-server.
+All the interesting endpoints are defined in `rests/resources`
+Do not use Javalin, use Quarkus, because we use Quarkus in the web module.
+To find the documentation and find the web module, find `localhost:8080/q/dev-ui/extensions` or `localhost:8080/q/dev`.
+
+The API models the API everything can do.
+We need to bridge the experiment runner to the API.
+Some small fixes to the API have to be done.
+The API has some schemas defined in the schemas.
+
+Read the documentation of quarkus to add your own endpoints.
+Here add your endpoints `opendc-web/opendc-web-server/src/main/java/org/opendc/web/server/rest`
+What gets stored in the databse:
+- aggregate results are stored there.
+- detailed results are in the development tree (the thing that you did with PostgreSQL).
+Have a look at the website graphs of OpenDC.
+
+Failure traces are needed to demonstrate failures.
+
+Have a look at Jure's experiments and the cost impact of failures as this might be nice to show in your own work.
+Failures tap well into what he is doing.
+The degradation model of CPU.
+Shows how much money is being lost due to failures.
+
+Daniel cannot model some experiments in the web module.
+He would not get results.
+There are two different runners for the web module that are different from the generic `ExperimentRunner`.
+