In large or complex distributed systems and networks, it is difficult to predict the impact of a maintenance task. Sometimes, multiple maintenance tasks are carried out concurrently, increasing the chance of outage due to inadvertent interaction between the maintenance tasks. In a bid to minimize the chance of outage, network managers often approach network maintenance in a conservative manner, resulting in a loss in the velocity of maintenance changes. This disclosure describes techniques that automatically vet the impact of network change requests by predicting network topology, modeling demands, simulating the effect of the change request, and reporting the impact back to the change management system for approval of the change.
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N/A, "Predicting The Impact Of Maintenance Work On Networks", Technical Disclosure Commons, (October 03, 2019)