# Resource Mapping Allocation Scheme in 6G Satellite Twin Network
## 2 Related Work
With the increase in network scale, the increase in network energy consumption, and the growth of demand for network troubleshooting, virtual network mapping algorithms propose a variety of different solutions for different mapping scenario requirements. For large-scale virtual networks, distributed virtual network mapping algorithms are proposed [69; 70; 71; 72]. The large-scale virtual network is split into multiple small-scale virtual networks, which are deployed as multiple small-scale computational tasks to multiple distributed physical nodes for processing. Finally, the processing information in the distributed physical nodes is collected and aggregated for comprehensive processing of information. An energy-aware virtual network mapping algorithm based on energy consumption was proposed for the increase in network energy consumption [73; 74; 75; 76; 77; 78]. The number of mapped physical nodes and physical links is taken as the goal of optimization, and the energy consumption of network mapping is controlled by solving for the minimum number of physical nodes and physical links. The survivability virtual network mapping algorithm is proposed for network fault handling requirements [79; 80; 81; 82]. Survivable virtual network mapping algorithms refer to the ability of the network to still provide communication services through the reserved backup resources in case of problems such as natural disasters, network attacks, and equipment failures. The virtual networks and physical networks need to be considered in survivability virtual network mapping algorithms. The main solution considered in survivability virtual network mapping algorithms nowadays is to use the redundancy idea to provide backup resources for the network to resist network failures. Network mapping for network simulation is studied [83], but communication systems, twin systems, and computing systems are not considered together in a comprehensive manner in the study of network mapping for network simulation. In the large-scale multi-dimensional multi-layer network mapping for network simulation studied in this paper, the mapping problem of the multi-layer heterogeneous network from the communication network to the twin network to the computing network needs to be solved. Among them, the communication network is a large-scale satellite-ground network that consists of nearly 10,000 communication nodes such as ground terminals, high and low orbit satellites, and ground stations distributed around the world. The twin network needs to complete the simulation of nearly 10,000 communication nodes, communication behaviors, and communication processes. The computing network hosts the twin network and provides physical resources such as CPU, memory, bandwidth, and throughput. In the network mapping problem, the traditional virtual network link connection is fixed, but in this paper, the connection between the nodes in the communication network is connected according to the communication behavior and satellite trajectory. The direct connection of different communication nodes changes over time. The network mapping strategy in this paper needs to consider the timeliness of the link connection while satisfying the link resource mapping. In this paper, the communication nodes in the communication network have the attributes of latitude and longitude. The constraint relationship between the geographical locations of the communication nodes needs to be considered when mapping. In view of the different requirements for multi-dimensional multi-layer mapping from the communication network to the twin network to the computing network, the mapping strategies adopted by existing virtualized simulation systems are not applicable to the network mapping in this paper. In the simulation system studied in this paper, the mapping problem from the communication network to the twin network to the computing network can be summarized as the mapping problem from communication node to twin node to physical node, and communication link to twin link to physical link.