Quantum Brain Storm Optimization for Fog Computing

The M-file calculates the success rate for fog computing system with quantum brain.

A novel quantum paired brain storm optimization is used to calculate application content driven network based on fog computing in 5G environment. This content driven resource allocation makes a decision based on the center quality parameters obtained instantaneously from the online network, which in turn depends on the instantaneous mobile speed interaction with the wireless edge service performance parameters of the hit rate, packet loss, round trip time, radio signal strength, bandwidth, data cost and vehicle speed are typically different from location to location. We use a quantum state brain storm optimization to guide the fundamental resource allocation equation for mode selection within 5G fog networks.