Airports could become better able to withstand major operational disruptions under a new computing system designed to keep digital services running during periods of intense pressure. Details are reported in the International Journal of Reasoning-based Intelligent Systems.
The researchers have developed a resource management framework, known as EAR-Sys, that dynamically reallocates computing capacity when severe weather, air traffic control restrictions or other emergencies lead to widespread flight delays, diversions, and cancellations. In simulations using real airport data, they showed that they could reduce the average computing delay by more than 14 per cent and cut recovery time after computing overload from 28 seconds to 22 seconds.
Modern airports rely on networks of computers to support flight scheduling, passenger information, and operational coordination. During major disruptions, these systems are often overwhelmed by a surge in requests as flights are rescheduled and information is updated. The proposed framework combines a spatio-temporal graph with reinforcement learning to redistribute the computational workload before any failures cascade through the network.
Unlike conventional systems, which typically allocate resources using historical demand and recover from failures only after they occur, the new approach continuously monitors changing conditions and proactively shifts computing tasks to less heavily loaded machines.
Wang, W. (2026) ‘Elastic allocation and recovery of airport computing resources in response to strong disturbances in flight flows’, Int. J. Reasoning-based Intelligent Systems, Vol. 18, No. 17, pp.48–66.
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