Improving the Performance of the African Swine Fever Spreading Simulation on the Cloud-Based GAMA Platform
摘要
The rapid spread of African swine fever (ASF) in recent years has highlighted the urgent need to improve disease prevention and management, with model-based simulations playing a crucial role. Unfortunately, no effective treatments or vaccines for ASF are currently available. In Vietnam, ASF was first reported in February 2019, and poor biosecurity measures at small-scale farms are the main reason for its rapid nationwide spread. To our knowledge, there are few studies simulating ASF spread between farms in specific areas, such as Hanoi, using multi-agent modeling. Various simulation tools are available, with GAMA being a powerful and flexible platform suitable for complex agent-based models like ASF transmission. However, simulations can be time-consuming, taking hours or even days to complete. Our research proposes an optimization method to enhance simulation performance on GAMA, with the ASF spread model for Hanoi deployed on the cloud. The results help improve GAMA simulation performance and accelerate testing.