sir_ga_exploration

Rust: Virus on a Network (a SIR model for epidemics)

With this model we want to simulate how a virus (or a warm) can be spread through a network. It's an abstraction of several dynamics:

• Network is based on a graph, where:
  • nodes represent computers (or any other device);
  • edges represent communication link into the network (edges are undirected);
• A node can be in 1 of 3 possible states:
  1. Susceptible: a standard node and a potential victim;
  2. Infected: an infected node. This kind of nodes can be unaware of the infection;
  3. Resistant: after virus detection, this node became resistant to this kind of infection (this state simulates an antivirus update);
• At each step, communication between all nodes is performed, and infected nodes spread virus to their neighbours (for examples, as attachment of an email);
• Periodically nodes start a scan with their antivirus to detect virus; if they detect something, a recovery will be done. If the recovery is performed, there is a possibility for that node to became Resistant;

The network is created using preferential attachment algorithm; it's provided by a krABMaga macro: given a list of nodes, it adds nodes one by one, and it creates ages based on node degree.

How to run

• To run sequential/parallel genetic algorithm cargo run --release.
• To run distributed-mpi genetic algorithm cargo run --release --features distributed-mpi.

References:

• https://ccl.northwestern.edu/netlogo/models/VirusonaNetwork