Adaptive Service Provisioning for Dynamic Resource Allocation in Network Digital Twin

The extant physical networks are swiftly undergoing transformation, furnishing heightened bandwidth, diminished latency, and deterministic network services tailored for industries such as industrial manufacturing, smart transportation, and remote collaboration. Nevertheless, the current efficiency in network resource aggregation is comparatively modest, presenting challenges in the provisioning of adaptive and discriminated services to users with heterogeneous requirements. In response to this, we proffer a resource aggregation and orchestration scheme grounded in the paradigm of network digital twinning. Primarily, we expound upon the system architecture of network digital twinning, which orchestrates and administers the network through the establishment of digital models, thereby facilitating flexible scalability and the elastic pooling of resources. Subsequently, we formulate network service mechanisms tailored to diverse user categories, presenting adaptive service solutions tailored to enterprises of varying scales and business typologies, thereby broadening the purview and market dynamism of network services. Lastly, we posit a real-time resource orchestration mechanism that mitigates computational intricacies by leveraging the characteristics of optimal substructures. The efficacy of the proposed architecture and algorithms is scrutinized within the digital twinning milieu, thereby introducing a pioneering approach to curbing network upgrade expenditures and augmenting resource utilization efficiency through the integration of network digital twinning.