Offshore computing offloading strategy of marine network based on GBAS

With the application of IoT technology in the marine field, a large number of computing-intensive and latency-sensitive services have emerged, which puts forward extremely high requirements for the bandwidth and computing capacity of the marine information network, and mobile edge computing as a new type of architecture can quickly provide users with services and reduce the bandwidth of the backhaul network. Computational offload is a key technology for mobile edge computing that determines how tasks are offloaded to servers. However, the existing computing offloading strategies are mostly used for terrestrial networking, which has high complexity and high requirements for computing power, while the nodes in the marine network have insufficient computing power, which is difficult to tolerate the time cost of these algorithms, which seriously increases the delay of task offloading. In order to solve this problem, this paper proposes an online unloading algorithm based on beetle must search algorithm, which can provide faster optimization speed and higher accuracy.