A space-ground integrated network resilience slice resource scheduling method and system

Abstract

This invention discloses a method and system for resilient slicing resource scheduling in a space-ground integrated network. The method includes: constructing an SDN-integrated space-ground network architecture; using real TLE orbital data to drive the establishment of a dynamic topology and heterogeneous resource model for satellite nodes; parsing the SLA semantics of sliced ​​services to extract differentiated service quality features, and performing resource mapping corresponding to the slices in a spatiotemporal evolution graph model; if satellite node failure or link interruption is detected, resulting in service impairment, a differentiated response strategy based on proactive resource reservation, dynamic load balancing, and rapid cross-domain switching is triggered according to a fault classification model, and the recovery effect is evaluated through a slice-level resilience quality index system. This solution, by combining proactive defense with passive recovery, improves the service survivability of the space-ground network in highly dynamic and volatile environments, and ensures the service continuity of highly reliable, low-latency services in scenarios with frequent cross-domain switching.

Description

Technical Field

[0001] This invention relates to the field of satellite communication and network virtualization technology, and more specifically, to a method and system for scheduling resilient slicing resources in a space-ground integrated network. Background Technology

[0002] With the large-scale deployment of LEO satellite constellations, the Space-Ground Integrated Network (SAGIN) has become a key infrastructure for achieving seamless global coverage and the Internet of Things. By integrating terrestrial mobile communication networks with non-terrestrial networks, SAGIN can provide high-bandwidth, low-latency communication services to remote areas, maritime sectors, and aviation. Network slicing technology, as one of the core technologies of 5G / 6G, builds multiple logically isolated virtual networks on a unified physical infrastructure, providing differentiated resource guarantees for different service needs (such as enhanced mobile broadband (eMBB), ultra-reliable low-latency communication (URLLC), and massive machine-type communication (mMTC)).

[0003] However, integrated space-ground networks are highly dynamic, heterogeneous, and uncertain. Due to the high-speed motion of low-Earth orbit satellites relative to the ground, the topology of satellite-to-ground links and inter-satellite links exhibits periodic, non-stationary evolution characteristics. Secondly, the harsh space environment makes satellite nodes highly susceptible to space radiation, power depletion, or malicious attacks that could lead to node failure, causing network topology oscillations and service interruptions.

[0004] Existing network slicing resource allocation methods primarily focus on optimizing resource utilization in static or quasi-static environments. However, they lack the ability to detect and recover from network fluctuations and sudden failures, making it difficult to cope with unexpected situations in complex spatial environments. In integrated space-ground scenarios, traditional protection switching mechanisms struggle to handle concurrent failures across multiple domains and cannot be deeply customized for resilience based on service SLA semantics. Therefore, when link interruptions or node failures occur, existing technologies often rely on global rerouting for passive recovery. This passive recovery behavior not only consumes valuable spatial link bandwidth but also incurs high latency during fault identification and policy deployment, failing to meet the basic service continuity requirements of highly reliable services.

[0005] Furthermore, existing evaluation systems for assessing the resilience of network slices after disturbances are inadequate. Most existing QoS indicators only reflect network performance under steady-state conditions and cannot quantify the dynamic resilience of slices throughout their entire lifecycle. Therefore, constructing a resilient resource scheduling system capable of sensing network spatiotemporal evolution and coordinating proactive defense and passive recovery based on service semantics is a key issue that needs to be addressed in current research on integrated space-ground networks. Summary of the Invention

[0006] In view of this, embodiments of the present invention provide a method and system for scheduling resilient slice resources in an integrated space-ground network, in order to solve the technical problems of weak service assurance capability, delayed fault recovery response, and poor service continuity in current integrated space-ground network slices.

[0007] The first aspect of this invention provides a method for scheduling resilient slicing resources in an integrated space-ground network, comprising: Construct a space-ground integrated network architecture based on software-defined networking, use TLE orbital data to drive the establishment of a spatiotemporal evolution model of dynamic topology of satellite nodes and heterogeneous orbital resources, and establish a spatiotemporal evolution diagram; The semantics of the service level protocol for network slicing services are parsed to extract differentiated service quality characteristics for different service types. Based on these service quality characteristics, slice resources are mapped in the spatiotemporal evolution graph. Monitor the status of satellite nodes and link quality. If a node failure or link interruption is detected that causes damage to slice services, trigger a differentiated response strategy based on proactive resource reservation and dynamic load balancing. The recovery effect of the differentiated response strategy is evaluated using slice-level service quality indicators.

[0008] In one implementation, a spatiotemporal evolution model of the dynamic topology of satellite nodes and heterogeneous orbital resources is established using TLE orbital data, and a spatiotemporal evolution diagram is created, including: A spatiotemporal evolution model is established based on TLE orbital data, pre-set ground customer data, and link data. The spatiotemporal evolution model includes spatiotemporal trajectory data, dynamic connection relationships, and resource data. Calculate the satellite's three-dimensional physical position in the centroidal inertial coordinate system and the Earth-fixed coordinate system, and obtain the satellite's trajectory based on the three-dimensional physical position; A spatiotemporal evolution map is established based on the satellite's motion trajectory to depict the dynamic changes in availability, propagation delay, and available bandwidth resources of inter-satellite links and satellite-to-ground links over time.

[0009] In one implementation, the service level agreement semantics of network slicing services are parsed to extract differentiated service quality characteristics for different service types, including: The service level protocol semantics of network slicing services are parsed, and the slicing services are divided into three categories based on the parsed semantics: enhanced mobile broadband, ultra-reliable low-latency communication, and massive machine-type communication. For enhanced mobile broadband services, features related to the demand for high throughput and maximum bandwidth limitations are extracted; for ultra-reliable low-latency communication services, features related to constraints on low latency and survivability are extracted; for massive machine-type communication services, features related to connection density and the stability of massive node access are extracted.

[0010] In one implementation, slice resource mapping is performed in the spatiotemporal evolution graph based on quality of service characteristics, including: Calculate the current resource load status of each satellite node in terms of bandwidth, computing power, and storage. Based on the service quality characteristics of the sliced ​​service, a heuristic algorithm is used to map the service flow to the satellite nodes and link set corresponding to the optimal path in the spatiotemporal evolution diagram, while satisfying the service level agreement constraints. Deploy the slicing service to the satellite nodes and link set corresponding to the optimal path.

[0011] In one implementation, if a node failure or link interruption is detected as causing damage to slice services, a differentiated response strategy based on proactive resource reservation and dynamic load balancing is triggered, including: Identify the types of damaged slice services and their SLA characteristic constraints; For ultra-reliable low-latency communication services, active resource reservation is performed by setting the corresponding overload coefficient; For enhanced mobile broadband services, an emergency mode is activated when performance degradation is detected, and load balancing and broadband compensation are performed. For large-scale machine-type communication services, dynamic resource isolation based on access control mechanisms is initiated when a sudden traffic storm is detected.

[0012] In one embodiment, the method further includes triggering a cross-domain fast handover strategy when it is detected that a satellite node will move out of the coverage area or an irreversible physical failure occurs. The cross-domain fast handover strategy includes: When it is detected that the currently connected satellite node will leave the coverage area or suffer a physical failure, the KDTree algorithm is used to search for a set of backup candidate nodes around the current geographical location. Based on the real-time load and slice availability metrics of each backup node, a fast cross-domain switch is triggered to smoothly migrate business instances to the target cross-domain node.

[0013] In one implementation, slice-level service quality indicators are used to evaluate the recovery effect corresponding to the differentiated response strategy, including: Real-time collection of performance time-series data during periods of service disruption, and calculation of performance loss area, performance gain area, and robustness index for each service slice; Slice-level service quality indicators are constructed based on performance loss area, performance gain area, and robustness indicators; By adjusting the resource reservation coefficient and switching trigger threshold of the control plane using slice-level service quality indicators, dynamic adaptive optimization of scheduling strategies can be achieved.

[0014] Based on the same inventive concept, a second aspect of this invention provides a space-ground integrated network resilient slicing resource scheduling system, comprising: The network situation awareness module is used to build a space-ground integrated network architecture based on software-defined networking. It uses TLE orbital data to drive the establishment of a spatiotemporal evolution model of dynamic topology of satellite nodes and heterogeneous orbital resources, and to establish a spatiotemporal evolution diagram. The business semantic mapping module is used to parse the service level protocol semantics of network slicing services, extract differentiated service quality features of different service types, perform slice resource mapping in the spatiotemporal evolution graph based on service quality features, and perform resource scheduling based on slice resource mapping results. The resilience orchestration control module is used to monitor the status of satellite nodes and link quality. If it detects that the slice service is damaged due to node failure or link interruption, it will trigger a differentiated response strategy based on proactive resource reservation and dynamic load balancing. The service quality assessment module is used to evaluate the recovery effect of differentiated response strategies using slice-level service quality indicators.

[0015] Based on the same inventive concept, a third aspect of the present invention provides a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the method for scheduling resilient slicing resources in an integrated space-ground network as described in the first aspect.

[0016] Based on the same inventive concept, a fourth aspect of the present invention provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements the integrated space-ground network resilient slicing resource scheduling method described in the first aspect. Compared with the prior art, the advantages and beneficial technical effects of the present invention are as follows: This invention discloses a resilient slice resource scheduling method for integrated space-ground networks. By combining TLE-driven dynamic situational awareness with SDN (Software-Defined Networking) architecture, it effectively addresses the high dynamism of low-Earth orbit satellite network topology, accurately characterizing the spatiotemporal evolution of heterogeneous space-ground resources and laying the physical foundation for resilient scheduling. By analyzing the SLA (Service Level Agreement) semantics of slice services and introducing differentiated resilient response strategies, it not only ensures the performance stability of high-priority services such as URLLC (Ultra-Reliable Low-Latency Communication) under fault disturbances, but also enhances the survivability of eMBB (Enhanced Mobile Broadband) and mMTC (Massively Machine-Type Communications) through dynamic bandwidth compensation and resource isolation. Furthermore, by introducing a slice-level QoR (Quality of Return) metric evaluation system and the KDTree fast search algorithm, it achieves quantitative evaluation and closed-loop optimization of recovery effects, significantly shortening cross-domain handover latency and improving service continuity under complex oscillating environments while ensuring the reliability of the space-ground integrated network. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a flowchart illustrating the resilient slicing resource scheduling method for the integrated space-ground network in this embodiment of the invention. Figure 2 This is a schematic diagram of the process of using TLE orbital data to drive the establishment of a dynamic topology and resource model of satellite nodes in an embodiment of the present invention; Figure 3 This is a schematic diagram of the process for implementing differentiated resilience recovery response strategies for different slice services in an embodiment of the present invention; Figure 4 This is a schematic diagram illustrating the specific execution flow of the cross-domain fast switching strategy in an embodiment of the present invention; Figure 5 This is a schematic diagram of the structure of a space-ground integrated network resilient slicing resource scheduling system provided in an embodiment of the present invention; Figure 6 This is a schematic diagram of the structure of a computer device provided in an embodiment of the present invention. Detailed Implementation

[0019] Example 1 This invention addresses the high topological dynamism caused by the high-speed movement of satellites in integrated space-ground networks and the frequent link damage caused by the complex space environment, proposing a resilient resource scheduling scheme based on SDN architecture.

[0020] Please see Figure 1 The present invention provides a schematic diagram of the overall process of a space-ground integrated network resilient slicing resource scheduling method, which includes the following steps: S101: Construct a space-ground integrated network architecture based on software-defined networking, use TLE orbital data to drive the establishment of a spatiotemporal evolution model of dynamic topology of satellite nodes and heterogeneous orbital resources, and establish a spatiotemporal evolution diagram.

[0021] In an integrated space-ground network, LEO satellites exhibit extremely high speeds, and their topological relationships relative to ground gateways and terminals undergo millisecond-level dynamic changes. This embodiment utilizes an SDN architecture to achieve centralized orchestration and management of resources, decoupling the control plane logic from the data forwarding plane, thereby enabling real-time awareness of the entire network situation. Specifically, this embodiment first obtains the satellite's TLE data through the northbound interface as a driving source, and periodically updates the dynamic motion status of satellite nodes. For example... Figure 2 As shown, this step can be further broken down into the following sub-steps: S201: Establish a spatiotemporal evolution model based on TLE orbital data, preset ground customer data, and link data. The spatiotemporal evolution model includes spatiotemporal trajectory data, dynamic connection relationships, and resource data.

[0022] Specifically, the spatiotemporal evolution model is a dynamic model jointly established based on TLE orbital data and preset ground customer data and link data. It mainly includes the following three types of data: (1) Spatiotemporal trajectory data: high-precision coordinates calculated by specific formulas. (2) Dynamic connection relationship: used to describe when the satellite can connect to the ground station, the interconnection relationship between satellites, and to depict and adapt to the dynamic real satellite operation (i.e., dynamic topology). The topology will change due to the movement of the satellite, resulting in the interruption of the connection between the satellite and the user, which will lead to a decrease in service quality. Therefore, the technology of this invention is used to ensure service quality. (3) Heterogeneous resource weights: the model marks specific resource data such as bandwidth and latency for each link.

[0023] S202: Calculate the satellite's three-dimensional physical position in the centroidal inertial coordinate system and the Earth-fixed coordinate system, and obtain the satellite's trajectory based on the three-dimensional physical position.

[0024] In the specific implementation process, this step performs coordinate system transformation and calculates the three-dimensional physical position of the satellite in the centroidal inertial coordinate system (ECI) and the Earth-fixed coordinate system (ECEF).

[0025] Using TLE data as input, the orbit prediction algorithm is used to calculate the satellite's orbit in... Inertial position vector at time t Since this invention relates to end-to-end transmission of slicing services between satellite and ground, the impact of Earth's rotation on ground station visibility must be eliminated. Therefore, satellite positions need to be mapped to the ECEF Earth-fixed coordinate system:

[0026] In the formula, The rotation matrix about the Z-axis is specifically expanded as follows:

[0027] The rotation angle changes over time, specifically corresponding to... Greenwich Sidereal Angle at a given moment ; This is a disturbance correction vector based on real-time situational awareness. This vector characterizes minor orbital deviations caused by non-conservative forces in the space environment. It is corrected by the residual between real-time telemetry data transmitted from ground stations and the theoretical values ​​of SGP4, ensuring the accuracy of the physical reference for scheduling decisions. Through this mathematical transformation, this embodiment can accurately calculate the satellite's nadir trajectory and altitude on the Earth's surface, providing a physical reference for subsequent link budgeting and visibility analysis.

[0028] S203: Establish a spatiotemporal evolution map based on satellite motion trajectory to depict the availability, propagation delay, and available bandwidth resources of inter-satellite links and satellite-to-ground links as they dynamically change over time.

[0029] Specifically, the real-time physical position of the satellite is calculated and a spatiotemporal evolution map is constructed. Based on the calculated physical position information, the controller uses the geometric visibility criterion to determine the visibility between the satellite and ground nodes, and between satellite nodes.

[0030] This embodiment employs time-slot discretization technology to divide the continuous and unpredictable satellite trajectory into discrete time steps. Within each subdivided time slot, a graphical model that dynamically changes over time is established. ,in It represents a set of nodes including satellite payloads, ground base stations, and core network elements. This represents a set of inter-satellite or satellite-to-ground links with communication capabilities. This refers to the evolution time series. Regarding the relationship between the spatiotemporal evolution model and the spatiotemporal evolution diagram, the spatiotemporal evolution model is a macroscopic logical concept that encompasses the set of physical positions, topological relationships, and heterogeneous resource states of satellites changing over time. The spatiotemporal evolution diagram, on the other hand, is the specific mathematical / data implementation of this model.

[0031] The system characterizes the dynamic availability and heterogeneous resource load status of satellite-to-ground and inter-satellite links. In the spatiotemporal evolution model, the system assigns a dynamic weight quadruple to each link through active telemetry, including real-time available bandwidth, free-space loss delay due to propagation distance, reliability indicators calculated based on the link signal-to-noise ratio, and jitter range. Simultaneously, the system monitors and records the remaining carrying capacity of satellite nodes in terms of computing resources, memory capacity, and cache storage in real time through the southbound interface of the SDN controller. This heterogeneous resource data, containing spatiotemporal correlation information, constitutes the decision-making foundation for slice orchestration.

[0032] S102: Parse the service level protocol semantics of network slicing services, extract differentiated service quality characteristics for different service types, and map slice resources in the spatiotemporal evolution graph based on service quality characteristics.

[0033] This includes parsing the service level agreement semantics of network slicing services to extract differentiated service quality features for different service types, including: The service level protocol semantics of network slicing services are parsed, and the slicing services are divided into three categories based on the parsed semantics: enhanced mobile broadband, ultra-reliable low-latency communication, and massive machine-type communication. For enhanced mobile broadband services, features related to the demand for high throughput and maximum bandwidth limitations are extracted; for ultra-reliable low-latency communication services, features related to constraints on low latency and survivability are extracted; for massive machine-type communication services, features related to connection density and the stability of massive node access are extracted.

[0034] The integrated space-ground network carries services with high heterogeneity and complex spatiotemporal distribution characteristics. This embodiment achieves deep alignment between service requirements and network physical resources by parsing the Service Level Agreement (SLA) of the services. In one embodiment, for typical satellite communication application scenarios, sliced ​​services are divided into three categories based on the semantics of sliced ​​services: enhanced mobile broadband (eMBB), ultra-reliable low-latency communication (URLLC), and massive machine-type communication (mMTC). Differentiated indicators are extracted and emphasized for different services. For eMBB services, the focus is on extracting their high throughput requirements and maximum bandwidth limitations; for URLLC services, the focus is on extracting their stringent constraints on extremely low latency and survivability; for mMTC services, the focus is on connection density and the stability of massive node access. The features extracted for different services are called differentiated quality of service features.

[0035] Based on service quality characteristics, slice resource mapping is performed in the spatiotemporal evolution graph, including: Calculate the current resource load status of each satellite node in terms of bandwidth, computing power, and storage. Based on the service quality characteristics of the sliced ​​service, a heuristic algorithm is used to map the service flow to the satellite nodes and link set corresponding to the optimal path in the spatiotemporal evolution diagram, while satisfying the service level agreement constraints. Deploy the slicing service to the satellite nodes and link set corresponding to the optimal path.

[0036] Specifically, the result of resource mapping is the connection matching relationship between business flows and physical resources (satellite nodes and link sets), which is manifested as one or more end-to-end virtual paths that meet the requirements, as well as the reserved computing and storage resource quotas for each node on the path.

[0037] S103: Monitor the status of satellite nodes and link quality. If a node failure or link interruption is detected, resulting in damage to slice services, a differentiated response strategy based on proactive resource reservation and dynamic load balancing will be triggered.

[0038] Specifically, differentiated resilience assurance strategies are set for different business types. These strategies include differentiated response strategies that combine proactive defense and passive recovery, involving strategy parameters such as overload coefficients, backup reservation switches, and congestion control thresholds. For example, a higher overload coefficient is set for URLLC services to reserve redundant resources. During the initial mapping, a multi-constraint heuristic algorithm is used to find the set of nodes and links that satisfy the SLA constraints and have the minimum end-to-end path cost based on the current node's resource load status for slice deployment. It should be noted that the recovery mechanism is a manifestation and specific implementation of the assurance mechanism. The resilience assurance strategy covers three aspects: prevention before failure occurs, stress resistance during failure, and recovery after failure; the recovery mechanism is one of the stages.

[0039] Please see Figure 3 Specifically, it includes: S301: Identify the type of damaged slice service and its SLA feature constraints; S302: For ultra-reliable low-latency communication services, active resource reservation is performed by setting the corresponding overload coefficient; S303: For enhanced mobile broadband services, when performance degradation is detected, emergency mode is activated to perform load balancing and broadband compensation; S304: For large-scale machine-type communication services, when a sudden traffic storm is detected, dynamic resource isolation based on the access control mechanism is initiated; In the specific implementation process, the first step is to identify the type of damaged slice service and its SLA characteristic constraints, and then the following operations are performed: Active resource reservation and protection resource release are implemented for URLLC services. When fading indicators are detected on the main path, the controller immediately activates pre-mapped physical mutually exclusive protection paths, utilizing reserved overload resources to ensure that critical signaling performance does not experience any visible drop, achieving seamless service switching. By using pre-mapped redundant paths or increasing the resource reservation ratio, service performance is ensured not to degrade under fault disturbances. Fading indicators detected on the main path include, but are not limited to, increased Doppler frequency shift due to satellite motion, atmospheric rain attenuation, ionospheric scintillation, or service quality degradation and impaired robustness caused by decreased satellite antenna alignment accuracy. The judgment criterion is that the URLLC service monitors its link's service quality in real time; when a significant fluctuation or decline in service quality is detected, a fault is judged, and resilience strategies are activated.

[0040] Dynamic load balancing and bandwidth compensation are implemented for eMBB services. When bandwidth obstruction due to link loss is detected, the controller initiates emergency mode via SDN commands, temporarily releasing protection band resources between slices to achieve real-time traffic compensation, maintaining the minimum throughput requirements of streaming media services, and mitigating the performance drop curve. Bandwidth obstruction in eMBB refers to a decline in service quality in URLLC, essentially resulting in a decline in core service metrics (eMBB focuses on throughput, which is related to bandwidth). Specifically, this manifests as insufficient throughput: measured end-to-end throughput consistently falls below the guaranteed bit rate (GBR) stipulated in the SLA agreement.

[0041] Traffic isolation based on access control is implemented for mMTC services. When a signaling storm caused by a large-scale terminal reconnection due to a fault is detected, a dynamic isolation mechanism is activated. This mechanism smooths and reshapes non-real-time traffic by adjusting the access probability threshold, preventing local congestion from spreading to core network services. A signaling storm refers to signaling plane congestion caused by a surge in concurrent requests exceeding the base station's capacity during a fault simulation involving a large number of sensors restarting or undergoing topology reconstruction. This results in an extreme increase in access requests, high signaling overhead, and low access success rate, thus damaging core mMTC metrics.

[0042] In one implementation, a cross-domain fast handover strategy is triggered when a satellite node is detected to be moving out of the coverage area or experiencing an unrecoverable physical failure. This strategy includes: When it is detected that the currently connected satellite node will leave the coverage area or suffer a physical failure, the KDTree algorithm is used to search for a set of backup candidate nodes around the current geographical location. Based on the real-time load and slice availability metrics of each backup node, a fast cross-domain switch is triggered to smoothly migrate business instances to the target cross-domain node.

[0043] Specifically, when it is detected that a satellite node is about to move out of the coverage area or experiences an irreversible physical failure, triggering events such as... Figure 4 The cross-domain fast switching strategy shown includes: S401. Search for a set of backup candidate nodes around the terminal's geographical location based on the KDTree algorithm. Utilizing the efficient search characteristics of KDTree in multi-dimensional space, quickly locate a set of satellite nodes that meet the geometric visibility conditions.

[0044] S402. Trigger cross-domain switching and service migration based on the real-time load of candidate nodes. Select the satellite with the lowest load and optimal resource availability as the target node and perform smooth slice instance migration.

[0045] S104: Use slice-level service quality indicators to evaluate the recovery effect corresponding to the differentiated response strategy.

[0046] Specifically, S10 includes: Real-time collection of performance time-series data during periods of service disruption, and calculation of performance loss area, performance gain area, and robustness index for each service slice; Slice-level service quality indicators are constructed based on performance loss area, performance gain area, and robustness indicators; By adjusting the resource reservation coefficient and switching trigger threshold of the control plane using slice-level service quality indicators, dynamic adaptive optimization of scheduling strategies can be achieved.

[0047] Specifically, this embodiment uses slice-level service quality indicators (SQMI) The recovery effect is quantitatively evaluated by acquiring performance time-series curves during the period of damage in real time. Calculate the area of ​​performance loss That is, from the moment the fault occurs By recovery time Integral deviation between the performance curve and the target horizontal line: Slice-level service quality metrics are defined as the ability of a service to maintain performance during disruptions, calculated by measuring the area of ​​performance loss. The ratio of the area to the target performance area is achieved as follows:

[0048] In the formula, In order to monitor the moment when the damage began, This is the moment when performance recovers to a steady state; This represents the SLA target performance value corresponding to the business. This represents real-time performance measurements during the period when business operations were disrupted.

[0049] If calculated If the score is lower than the preset resilience security threshold, a feedback signal is sent to the SDN controller to automatically adjust the overload coefficient in the subsequent scheduling process or increase the preset depth of the backup path, thereby realizing the adaptive optimization and iteration of the resilience strategy.

[0050] Regarding the parameters of resource reservation coefficient and handover trigger threshold, the resource reservation coefficient is mainly used to control the proportion of redundant bandwidth. It is a scheduling operator that enhances network resilience by performing proactive redundancy reservation (i.e., proactive resource reservation mentioned in the patent). For example, when the slice-level resilience quality index (QoR) score is low, the system automatically increases this coefficient, thereby reserving more redundant physical resources as a "resilience protection zone" for high-reliability services (such as URLLC) in subsequent resource scheduling to ensure their performance. The handover trigger threshold is used to determine the triggering timing of KDTree fast handover and defines the performance boundary for triggering cross-domain handover. When the system detects that the index status of the currently accessed satellite has fallen below this preset threshold, it will immediately initiate a candidate node search and smooth service migration process based on the KDTree algorithm to ensure service continuity under severe topology fluctuations.

[0051] In one embodiment, a closed-loop feedback process enhances the overall resilience of the system. The system monitors the satellite node status and link quality in real time. If it detects node failures, link interruptions, or slice service impairments caused by single-event flips or physical obstructions due to charged particle streams, it initiates a resilience recovery mechanism and employs slice-level... The indicators are used for closed-loop evaluation of the recovery effect. It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0052] Example 2 Based on the same inventive concept, this embodiment discloses a space-ground integrated network resilient slicing resource scheduling system. Please refer to [link to relevant documentation]. Figure 5 ,include: The network situation awareness module 510 is used to build a space-ground integrated network architecture based on software-defined networking. It uses TLE orbital data to drive the establishment of a spatiotemporal evolution model of dynamic topology of satellite nodes and heterogeneous orbital resources, and to establish a spatiotemporal evolution diagram. The business semantic mapping module 520 is used to parse the service level protocol semantics of network slicing services, extract the differentiated service quality characteristics of different service types, perform slice resource mapping in the spatiotemporal evolution graph based on the service quality characteristics, and perform resource scheduling based on the slice resource mapping results. The resilience orchestration control module 530 is used to monitor the status of satellite nodes and link quality. If it detects that the slice service is damaged due to node failure or link interruption, it will trigger a differentiated response strategy based on proactive resource reservation and dynamic load balancing. The service quality assessment module 540 is used to evaluate the recovery effect corresponding to the differentiated response strategy using slice-level service quality indicators.

[0053] Specifically, the network situation awareness module 510 is used to build an SDN space-ground converged architecture, is responsible for high-precision dynamic topology and resource evolution modeling driven by TLE, and maintains the overall network situation.

[0054] The business semantic mapping module 520 is used to parse the SLA semantics of sliced ​​business, extract differentiated service quality features, and execute the initial mapping deployment strategy according to the spatiotemporal evolution diagram. The orchestration control module 530, as the decision-making brain of the entire system, is responsible for triggering hierarchical response strategies and executing cross-domain fast switching decisions based on the KDTree algorithm in the event of network fluctuations or node failures.

[0055] Among them, the orchestration control module 530 is also used for real-time situation monitoring and damage identification. It monitors the flow table status information periodically returned by the data plane through the SDN southbound interface. Once it detects abnormal packet loss rate, a sharp increase in end-to-end latency jitter, or receives a downtime alarm thrown by a physical node, it immediately identifies the affected slice instance ID and its corresponding service priority level.

[0056] The orchestration control module 530 executes a tiered resilience recovery response strategy: For URLLC services, it implements an active resource reservation strategy. When the main path detects signs of fading, it immediately activates the pre-mapped physical mutual exclusion protection path and uses the reserved overload coefficient to ensure that critical signaling performance does not experience visible drops, achieving seamless switching; For eMBB services, it implements a dynamic load balancing and bandwidth compensation strategy. When performance degradation is detected, it initiates an emergency mode, releasing protection band resources between slices to achieve real-time traffic compensation and maintain minimum throughput requirements; For mMTC services, it implements an access control-based traffic isolation strategy. When a signaling storm caused by a fault is identified, it initiates a dynamic isolation mechanism and smooths and reshapes non-real-time traffic by adjusting the access probability threshold.

[0057] The orchestration control module 530 is also used to trigger a cross-domain fast handover mechanism. When a satellite node is about to leave its current service area due to natural orbital motion or a complete hardware physical failure occurs, a handover process based on spatial index is executed. The KDTree algorithm is used to search for a set of backup candidate nodes around the current geographical location. The optimal target satellite is selected based on the real-time CPU load, available flow table entries, and bandwidth redundancy indicators of each backup node. The smooth migration of the service session state is performed through SDN flow table update instructions to ensure service continuity.

[0058] The Service Quality Assessment Module 540 is used to monitor the status of business flows in real time and uses slice-level QoR metrics to conduct closed-loop evaluation of recovery effectiveness.

[0059] The service quality assessment module 540 collects the performance time-series curve P(t) during the damaged period in real time, calculates the performance loss area and the corresponding QoR score of the service. If the QoR score is lower than the preset safety threshold, the service quality assessment module 540 sends a feedback signal to the orchestration control module 530 to automatically increase the overload coefficient of this type of service in the next cycle, so as to realize the closed-loop adaptive optimization and evolution of the scheduling strategy.

[0060] Since the system in Embodiment 2 of this invention is the same system used in the integrated space-ground network resilient slicing resource scheduling method in Embodiment 1, those skilled in the art can understand the specific structure and variations of this system based on the method described in Embodiment 1 of this invention, and therefore will not be repeated here. All systems used in the method of Embodiment 1 of this invention fall within the scope of protection of this invention.

[0061] Example 3 Based on the same inventive concept, the present invention also provides a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements a method for scheduling resilient slicing resources in an integrated space-ground network according to Embodiment 1.

[0062] Since the computer-readable storage medium described in Embodiment 3 of this invention is the same computer-readable storage medium used in implementing the integrated space-ground network resilient slicing resource scheduling method in Embodiment 1 of this invention, those skilled in the art can understand the specific structure and variations of this computer-readable storage medium based on the method described in Embodiment 1 of this invention, and therefore will not be repeated here. All computer-readable storage media used in the method of Embodiment 1 of this invention fall within the scope of protection of this invention.

[0063] Example 4 Based on the same inventive concept, please refer to Figure 6The present invention also provides a computer device, including a memory 610, a processor 620, and a system bus 630. The memory 610 is used to store resilient slice scheduling instructions, and the processor 620 implements the steps in the above method embodiments by running the instructions. The communication interface 640 is responsible for establishing links with external satellite nodes or ground network elements, obtaining network situation information, and issuing scheduling strategies.

[0064] This invention significantly improves the survivability of space-ground networks in highly dynamic and vulnerable environments through TLE-driven situational awareness, SLA service semantic parsing, and a QoR closed-loop evaluation system, effectively ensuring the service continuity of critical services. Since the computer equipment described in Embodiment 4 is the same computer equipment used in implementing the integrated space-ground network resilient slicing resource scheduling method in Embodiment 1, those skilled in the art can understand the specific structure and variations of this computer equipment based on the method described in Embodiment 1, and therefore will not be repeated here. All computer equipment used in the method of Embodiment 1 of this invention falls within the scope of protection of this invention.

[0065] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0066] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0067] Although preferred embodiments of the invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including both the preferred embodiments and all changes and modifications falling within the scope of the invention. Clearly, those skilled in the art can make various modifications and variations to the embodiments of the invention without departing from the spirit and scope of the invention. Thus, if these modifications and variations of the embodiments of the invention fall within the scope of the claims of the invention and their equivalents, the invention also intends to include these modifications and variations.

Claims

1. A method for scheduling resilient slicing resources in a space-ground integrated network, characterized in that, include: Construct a space-ground integrated network architecture based on software-defined networking, use TLE orbital data to drive the establishment of a spatiotemporal evolution model of dynamic topology of satellite nodes and heterogeneous orbital resources, and establish a spatiotemporal evolution diagram; The semantics of the service level protocol for network slicing services are parsed to extract differentiated service quality characteristics for different service types. Based on these service quality characteristics, slice resources are mapped in the spatiotemporal evolution graph. Monitor the status of satellite nodes and link quality. If a node failure or link interruption is detected that causes damage to slice services, trigger a differentiated response strategy based on proactive resource reservation and dynamic load balancing. The recovery effect of the differentiated response strategy is evaluated using slice-level service quality indicators.

2. The method for resilient slicing resource scheduling in a space-ground integrated network as described in claim 1, characterized in that, Using TLE orbital data, a spatiotemporal evolution model of the dynamic topology of satellite nodes and heterogeneous orbital resources is established, and a spatiotemporal evolution diagram is created, including: A spatiotemporal evolution model is established based on TLE orbital data, pre-set ground customer data, and link data. The spatiotemporal evolution model includes spatiotemporal trajectory data, dynamic connection relationships, and resource data. Calculate the satellite's three-dimensional physical position in the centroidal inertial coordinate system and the Earth-fixed coordinate system, and obtain the satellite's trajectory based on the three-dimensional physical position; A spatiotemporal evolution map is established based on the satellite's motion trajectory to depict the dynamic changes in availability, propagation delay, and available bandwidth resources of inter-satellite links and satellite-to-ground links over time.

3. The integrated space-ground network resilient slicing resource scheduling method as described in claim 1, characterized in that, The service level agreement semantics of network slicing services are parsed to extract differentiated service quality features for different service types, including: The service level protocol semantics of network slicing services are parsed, and the slicing services are divided into three categories based on the parsed semantics: enhanced mobile broadband, ultra-reliable low-latency communication, and massive machine-type communication. For enhanced mobile broadband services, features related to the demand for high throughput and maximum bandwidth limitations are extracted; for ultra-reliable low-latency communication services, features related to constraints on low latency and survivability are extracted; for massive machine-type communication services, features related to connection density and the stability of massive node access are extracted.

4. The method for resilient slicing resource scheduling in a space-ground integrated network as described in claim 1, characterized in that, Based on service quality characteristics, slice resource mapping is performed in the spatiotemporal evolution graph, including: Calculate the current resource load status of each satellite node in terms of bandwidth, computing power, and storage. Based on the service quality characteristics of the sliced ​​service, a heuristic algorithm is used to map the service flow to the satellite nodes and link set corresponding to the optimal path in the spatiotemporal evolution diagram, while satisfying the service level agreement constraints. Deploy the slicing service to the satellite nodes and link set corresponding to the optimal path.

5. The method for scheduling resilient slicing resources in a space-ground integrated network as described in claim 3, characterized in that, If a node failure or link interruption is detected as causing damage to slice services, a differentiated response strategy based on proactive resource reservation and dynamic load balancing is triggered, including: Identify the types of damaged slice services and their SLA characteristic constraints; For ultra-reliable low-latency communication services, active resource reservation is performed by setting the corresponding overload coefficient; For enhanced mobile broadband services, an emergency mode is activated when performance degradation is detected, and load balancing and broadband compensation are performed. For large-scale machine-type communication services, dynamic resource isolation based on access control mechanisms is initiated when a sudden traffic storm is detected.

6. The method for scheduling resilient slicing resources in a space-ground integrated network as described in claim 5, characterized in that, The method further includes triggering a cross-domain fast handover strategy when it is detected that a satellite node will move out of the coverage area or an irreversible physical failure occurs. The cross-domain fast handover strategy includes: When it is detected that the currently connected satellite node will leave the coverage area or suffer a physical failure, the KDTree algorithm is used to search for a set of backup candidate nodes around the current geographical location. Based on the real-time load and slice availability metrics of each backup node, a fast cross-domain switch is triggered to smoothly migrate business instances to the target cross-domain node.

7. The method for resilient slicing resource scheduling in a space-ground integrated network as described in claim 1, characterized in that, The recovery effectiveness of differentiated response strategies is evaluated using slice-level service quality indicators, including: Real-time collection of performance time-series data during periods of service disruption, and calculation of performance loss area, performance gain area, and robustness index for each service slice; Slice-level service quality indicators are constructed based on performance loss area, performance gain area, and robustness indicators; By adjusting the resource reservation coefficient and switching trigger threshold of the control plane using slice-level service quality indicators, dynamic adaptive optimization of scheduling strategies can be achieved.

8. A space-ground integrated network resilient slicing resource scheduling system, characterized in that, include: The network situation awareness module is used to build a space-ground integrated network architecture based on software-defined networking. It uses TLE orbital data to drive the establishment of a spatiotemporal evolution model of dynamic topology of satellite nodes and heterogeneous orbital resources, and to establish a spatiotemporal evolution diagram. The business semantic mapping module is used to parse the service level protocol semantics of network slicing services, extract differentiated service quality features of different service types, perform slice resource mapping in the spatiotemporal evolution graph based on service quality features, and perform resource scheduling based on slice resource mapping results. The resilience orchestration control module is used to monitor the status of satellite nodes and link quality. If it detects that the slice service is damaged due to node failure or link interruption, it will trigger a differentiated response strategy based on proactive resource reservation and dynamic load balancing. The service quality assessment module is used to evaluate the recovery effect of differentiated response strategies using slice-level service quality indicators.

9. A computer-readable storage medium, characterized in that, It stores a computer program that, when executed by a processor, implements a resilient slicing resource scheduling method for an integrated space-ground network as described in any one of claims 1 to 7.

10. A computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements a resilient slicing resource scheduling method for an integrated space-ground network as described in any one of claims 1 to 7.

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