Research and Design of a Self-Negotiating Access System for Heterogeneous Terminals in Cloud-Edge-Devices Network Environments

To address the challenges of complex terminal access management in cloud-edge-end collaborative computing architectures caused by the heterogeneity of heterogeneous terminal devices and the dynamic nature of network topologies, this study proposes an autonomous access system for heterogeneous terminals based on an intelligent negotiation mechanism. By constructing a dual-layer negotiation decisionmaking model that combines terminal capability awareness and network state prediction, the system achieves multidimensional resource coordination and dynamic optimal configuration among terminals, edge, and cloud. This paper first formalizes the multi-constrained optimization problem in heterogeneous terminal access and then proposes a distributed negotiation protocol based on contract theory. This protocol effectively resolves the dynamic balance between resource supply and demand in heterogeneous environments by establishing a dynamic matching mechanism between device capability vectors and network service quality. Experimental results demonstrate that the system significantly improves terminal access efficiency and resource utilization while reducing network management complexity.