A distributed geo-computing model of individual-based transmission simulation

To advance the computing efficiency of geographical transmission simulation, a distributed geo-computing model of individual-based transmission simulation was proposed. Epidemic spread simulation was took for instance, and an individual-based epidemic spread model was designed based on traditional SEIRS model. The structure of distributed computing model was presented and the key techniques were detailedly discussed, including quadtree coding and decoding, region separation and combination, and evaluation analysis for distributed computing. Every single step of distributed computing included the re-separation and re-combination of sub-regions, and the boundary process of sub-regions, and the regular sub-regions were adjusted by the relative individual density. The simulation experiment showed the proposed distributed model could save about 80% runtime than single computing model. And with the further adjustment by individual density of sub-regions, it could save 92% runtime than single computing model approximately.