Intelligent Cooperative Routing for Services in Computing Integration Networking

With the widespread application of cloud computing and edge computing, achieving optimal allocation of computing resources in a heterogeneous network environment has become a key issue. The objective of this context is to design a network mechanism for computing power awareness to enhance the efficiency of computing power transmission and allocation in heterogeneous networks. The proposal involves adding a computing power identification field in the routing selection to enable the active perception and intelligent scheduling of each node’s computing power. This significantly alleviates the network overload problem and improves resource utilization rates. The integration computing network cloud platform is constructed to orchestrate various computing power resources. Additionally, multi-path transmission technology is applied to the designed network to form a cloud-edge collaborative computing power optimization mechanism. Simulation results demonstrate that the designed network mechanism can achieve dynamic computing power optimization in heterogeneous environments and exhibits good scalability and adaptability.