Satellite-ground collaborative service scheduling method and system based on space-based edge cloud

Abstract

The invention relates to the technical field of information and communication, and discloses a space-based edge cloud-based satellite-ground collaborative service scheduling method and system, and the method comprises the steps: S1, introducing a space-based edge cloud node module as an edge node for service processing and data storage, and achieving the quick processing and storage of data; s2, introducing an intelligent scheduling algorithm, and adjusting a scheme of a service scheduling module in real time according to service characteristics and a current network state; s3, realizing a collaborative management mechanism between the satellite and the satellite-ground terminal, and realizing information exchange and resource collaboration; and S4, optimizing the real-time performance of service processing and the resource utilization efficiency in combination with an edge computing technology, realizing the comprehensive optimization of the service scheduling of the satellite communication system through the introduction of a space-based edge cloud node module and the combination of an intelligent scheduling algorithm and a collaborative management mechanism, improving the flexibility, the real-time performance and the efficiency of the system, and reducing the cost of the system. The introduction of the space-based edge cloud node module and the application of the intelligent scheduling algorithm enable the service scheduling to be more flexible.

Description

Technical Field

[0001] The present invention relates to the technical field of information and communication technology, and specifically to a satellite-ground collaborative service scheduling method and system based on space-based edge cloud. Background Art

[0002] In today's digital age, the development of satellite communications and edge computing technologies has become a hot topic in the technology sector. As a vital component of the global communications network, satellite communications systems shoulder the crucial task of connecting remote areas and providing global coverage. Furthermore, edge computing, a technology that brings computing resources and data storage closer to the source of data, offers new possibilities for real-time data processing and low-latency applications.

[0003] However, service scheduling in traditional satellite communication systems often faces numerous challenges. The dynamic and diverse nature of service demands makes it difficult for traditional scheduling algorithms to effectively meet the real-time and optimization requirements of different services. Furthermore, there is room for improvement in the resource allocation and utilization efficiency of satellite communication systems, especially when dealing with large-scale data transmission and complex network topologies.

[0004] In existing technologies, some studies have proposed leveraging edge computing and cloud computing technologies to optimize the service scheduling process in satellite communication systems. These approaches attempt to reduce data transmission latency and improve overall system performance by performing partial data processing and storage on edge nodes. However, these approaches often lack in-depth consideration of the interoperability between satellite and ground networks, resulting in limitations in cross-network service scheduling and resource optimization. Therefore, a satellite-ground collaborative service scheduling method and system based on a space-based edge cloud is proposed. Summary of the Invention

[0005] The purpose of the present invention is to provide a satellite-ground collaborative service scheduling method and system based on space-based edge cloud to solve the problems raised in the above background technology.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a satellite-ground collaborative service scheduling method based on space-based edge cloud, comprising the following steps: S1. Introducing space-based edge cloud node modules as edge nodes for business processing and data storage to achieve rapid data processing and storage; S2. Introducing intelligent scheduling algorithms to adjust the service scheduling module in real time based on service characteristics and current network status; S3: Implement a collaborative management mechanism between satellites and satellite-to-ground terminals to achieve information exchange and resource collaboration; S4. Combine edge computing technology to optimize the real-time performance of business processing and resource utilization efficiency.

[0007] The present invention also provides a system for a satellite-ground collaborative service scheduling method based on a space-based edge cloud, comprising a satellite-ground terminal, a satellite, a space-based edge cloud node module, a service scheduling module, a data processing module, a network management module, and a ground monitoring and feedback module; The satellite-to-ground terminal is used to communicate and exchange data with the space-based network; The satellite is responsible for relaying communications between the ground terminal and the ground monitoring and feedback module; The space-based edge cloud node module is used to provide computing and storage resources to support business scheduling and processing; The service scheduling module is used to perform service scheduling and resource allocation according to service requirements and network status, thereby optimizing service performance and user experience; The data processing module is used to process data transmitted from the satellite-to-ground terminal and the satellite; The network management module is used to manage the communication connection between the space-based edge cloud node module and the satellite, and monitor the network status and load; The ground monitoring and feedback module is used to monitor the system's operating status and task execution in real time, and feed back the monitored information to other modules.

[0008] Preferably, the above-mentioned satellite-to-ground terminal is connected to the satellite, the satellite is connected to the space-based edge cloud node module, the space-based edge cloud node module is respectively connected to the service scheduling module and the data processing module, the data processing module is connected to the network management module, and the network management module is connected to the ground monitoring and feedback module.

[0009] Preferably, the above-mentioned space-based edge cloud node module includes a data receiving unit, a data preprocessing unit, a service identification and classification unit, a task scheduling and allocation unit, a data processing and analysis unit, a result generation and feedback unit, a system monitoring and optimization unit, and a task completion and data transmission unit; The data receiving unit is used to cache and sort data; The data preprocessing unit is used for data format conversion, data cleaning and deduplication; The service identification and classification unit is used to assign different types of services to corresponding data processing modules; The task scheduling and allocation unit is used to intelligently schedule and allocate tasks based on business identification and system resource conditions; The data processing and analysis unit is used for parsing, storing, computing and analyzing data; The result generation and feedback unit is used to generate the final processing result after the processed data passes through the result generation stage; The system monitoring and optimization unit is used to monitor the system's performance indicators and task status in real time, so as to detect problems in a timely manner and take corresponding measures; The mission completion and data transmission unit is used to transmit the generated results back to the satellite link for further transmission to the ground or other destinations.

[0010] Preferably, the above-mentioned data receiving unit is connected to the data preprocessing unit, the data preprocessing unit is connected to the business identification and classification unit, the business identification and classification unit is connected to the task scheduling and allocation unit, the task scheduling and allocation unit is connected to the data processing and analysis unit, the data processing and analysis unit is connected to the result generation and feedback unit, the result generation and feedback unit is connected to the system monitoring and optimization unit, and the system monitoring and optimization unit is connected to the task completion and data transmission unit.

[0011] Preferably, the business scheduling module includes a task receiving unit, a task analysis unit, a resource scheduling unit, a task allocation unit and a monitoring and feedback unit; The task receiving unit is used to receive a task request from the data processing module; The task analysis unit is used to analyze the received task; The resource scheduling unit is used to perform resource scheduling based on the characteristics of the task and the current state of the system; The task allocation unit is used to allocate tasks to appropriate processing units; The monitoring and feedback unit is used to monitor the task execution process, adjust resource allocation and processing strategies in real time, and feed back processing results to the data processing module and other related modules.

[0012] Preferably, the task receiving unit is connected to the task analyzing unit, the task analyzing unit is connected to the resource scheduling unit, the resource scheduling unit is connected to the task allocating unit, and the task allocating unit is connected to the monitoring and feedback unit.

[0013] As a preference, the above.

[0014] Compared with the prior art, the present invention adopts the above technical solution and has the following technical effects: By introducing space-based edge cloud node modules, combining intelligent scheduling algorithms and collaborative management mechanisms, comprehensive optimization of satellite communication system service scheduling has been achieved, improving the system's flexibility, real-time performance and efficiency. The introduction of space-based edge cloud node modules and the application of intelligent scheduling algorithms make service scheduling more flexible and can better adapt to changes in dynamic business needs.

[0015] Through the application of edge computing technology and the design of collaborative management mechanisms, the resource utilization efficiency has been effectively improved, resource waste has been reduced, and the overall system performance has been improved. Combined with edge computing technology, real-time optimization of business processing has been achieved, data transmission delays have been reduced, and business processing efficiency has been improved.

[0016] The collaborative management mechanism promotes information exchange and resource coordination between satellite and ground monitoring and feedback modules, enhances the synergy between satellite and ground monitoring and feedback modules, and optimizes the overall business scheduling effect.

[0017] The highly intelligent and flexible architecture of the space-ground collaborative service scheduling system, based on the space-based edge cloud, effectively manages service scheduling and optimizes resource utilization. The collaborative work between various components and modules enables the system to quickly respond to the needs of different types of tasks, improving overall system performance and efficiency. This provides reliable support for space-ground collaborative services and helps achieve efficient operation and management of these services. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0019] Figure 1 It is a system framework diagram of the present invention; Figure 2 This is a framework diagram of the space-based edge cloud node module of the present invention; Figure 3 This is a framework diagram of the service scheduling module of the present invention. DETAILED DESCRIPTION

[0020] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0021] It should be noted that the structures, proportions, sizes, etc. illustrated in the drawings of this specification are only used to match the contents disclosed in the specification for people familiar with this technology to understand and read, and are not used to limit the conditions under which this application can be implemented. Therefore, they have no substantive technical significance. Any structural modification, change in proportional relationship or adjustment of size should still fall within the scope of the technical content disclosed in this application without affecting the efficacy and purpose that can be achieved by this application. Example

[0022] See also Figure 1-3 The present invention provides a technical solution: a satellite-ground collaborative service scheduling method based on space-based edge cloud, comprising the following steps: S1. Introducing space-based edge cloud node modules as edge nodes for business processing and data storage to achieve rapid data processing and storage and reduce data transmission delays. S2. Introducing intelligent scheduling algorithms to adjust the service scheduling module's solutions in real time based on service characteristics and current network status, improving scheduling flexibility and efficiency. S3: Implement a collaborative management mechanism between satellites and satellite-to-ground terminals to achieve information exchange and resource collaboration, and optimize overall business scheduling effects; S4. Combined with edge computing technology, it optimizes the real-time performance of business processing and resource utilization efficiency to improve the overall system performance and user experience.

[0023] The present invention also provides a system for a satellite-ground collaborative service scheduling method based on a space-based edge cloud, comprising a satellite-ground terminal, a satellite, a space-based edge cloud node module, a service scheduling module, a data processing module, a network management module, and a ground monitoring and feedback module; The satellite-to-ground terminal is connected to the satellite, the satellite is connected to the space-based edge cloud node module, the space-based edge cloud node module is connected to the business scheduling module and the data processing module respectively, the data processing module is connected to the network management module, and the network management module is connected to the ground monitoring and feedback module.

[0024] The satellite-to-ground terminal is used for communication and data exchange with the space-based network. As the initiation point of services, it plays a key role in the system, responsible for receiving and collecting data from the ground or other terminals and transmitting this data to the satellite. Satellites are responsible for relaying communications between ground terminals and ground monitoring and feedback modules; Space-based edge cloud node module, used to provide computing and storage resources, support business scheduling and processing; The space-based edge cloud node module includes a data receiving unit, a data pre-processing unit, a service identification and classification unit, a task scheduling and allocation unit, a data processing and analysis unit, a result generation and feedback unit, a system monitoring and optimization unit, and a task completion and data transmission unit; The data receiving unit is used to cache and sort data. Data is transmitted from the satellite-ground terminal to the space-based edge cloud node module via satellite. The data may be business data from different satellite-ground terminals and needs to be pre-processed and parsed before it can be further processed by the system. The data preprocessing unit is used for data format conversion, data cleaning and deduplication. The space-based edge cloud node module receives the transmitted data, parses, stores and processes the data, and prepares the data for subsequent processing and analysis to ensure data quality and consistency. The service identification and classification unit is used to assign different types of services to corresponding data processing modules. Based on service requirements and system status, the service identification and classification unit analyzes and processes the received data, and performs corresponding service scheduling and resource allocation. It identifies and classifies services based on data characteristics and metadata information to achieve targeted processing and scheduling. The task scheduling and allocation unit is used to intelligently schedule and allocate tasks based on business identification and system resource conditions. By analyzing the characteristics and priorities of tasks, the system can effectively allocate resources and schedule tasks to achieve optimal system performance and resource utilization. The data processing and analysis unit is used for parsing, storing, computing and analyzing data. The tasks assigned to the data processing module go through the data processing and analysis phase. According to the requirements of the task and the resource allocation of the system, the data is processed in an efficient manner and the corresponding output is generated; The result generation and feedback unit is used to generate the final processing results after the processed data passes through the result generation stage. The processed data or results can be transmitted back to the satellite-ground terminal or further transmitted to other systems or nodes; The system monitoring and optimization unit is used to monitor the system's performance indicators and task status in real time, identifying problems and taking appropriate measures to ensure system stability and efficiency. System optimization strategies will also be adjusted based on monitoring results to achieve continuous optimization of system performance. The mission completion and data transmission unit is used to transmit the generated results back to the satellite link for further transmission to the ground or other destinations. The completion of data transmission marks the end of the entire processing flow and also prepares for the start of a new round of missions.

[0025] The data receiving unit is connected to the data preprocessing unit, the data preprocessing unit is connected to the business identification and classification unit, the business identification and classification unit is connected to the task scheduling and allocation unit, the task scheduling and allocation unit is connected to the data processing and analysis unit, the data processing and analysis unit is connected to the result generation and feedback unit, the result generation and feedback unit is connected to the system monitoring and optimization unit, and the system monitoring and optimization unit is connected to the task completion and data transmission unit.

[0026] Data is transmitted from the satellite-ground terminal via satellite to the space-based edge cloud node module for processing and scheduling. The final results can be fed back to the satellite-ground terminal or transmitted to other systems; The service scheduling module is used to schedule services and allocate resources based on service needs and network status, optimize service performance and user experience, and is responsible for receiving, analyzing, scheduling, and monitoring the execution of tasks; The business scheduling module includes a task receiving unit, a task analysis unit, a resource scheduling unit, a task allocation unit, and a monitoring and feedback unit; The task receiving unit is used to receive task requests from the data processing module, including information such as the data or business type to be processed. By receiving these task requests, the business scheduling module understands the type and number of tasks that the system currently needs to process, providing a basis for subsequent task analysis and scheduling; The task analysis unit is used to analyze received tasks, including assessments of task priority, processing time requirements, resource requirements, and other aspects. By analyzing task characteristics, the system can better understand the urgency and execution requirements of tasks, and make reasonable decisions for subsequent resource scheduling and task allocation; The resource scheduling unit is used to schedule resources based on the characteristics of the task and the current state of the system, including selecting appropriate computing resources, storage resources, and network bandwidth. Based on the results of task analysis and the current state of the system, the business scheduling module performs resource scheduling. Through effective resource scheduling, the system can maximize resource utilization, ensure that tasks can be completed on time, and optimize system performance; The task allocation unit is used to assign tasks to appropriate processing units to ensure timely completion and efficient resource utilization. The processing units may be different units within the space-based edge cloud node module. The appropriate processing unit is determined based on the characteristics of the task and the system architecture. Through reasonable task allocation, the system can effectively manage the task execution process, ensuring timely completion of tasks and efficient resource utilization. The monitoring and feedback unit is used to monitor the task execution process, adjust resource allocation and processing strategies in real time, and feed back processing results to the data processing module and other related modules.

[0027] The task receiving unit is connected to the task analyzing unit, the task analyzing unit is connected to the resource scheduling unit, the resource scheduling unit is connected to the task allocating unit, and the task allocating unit is connected to the monitoring and feedback unit.

[0028] The processing flow of the business scheduling module starts from receiving tasks, goes through task analysis, resource scheduling, task allocation and other links, and finally monitors the task execution process in real time and provides feedback, ensuring that the system can effectively schedule tasks and optimize resources according to business needs and system status; The data processing module is used to process data transmitted from the satellite-to-ground terminal and the satellite, including data analysis, storage and distribution; The network management module is used to manage the communication connection between the space-based edge cloud node module and the satellite, and monitor the network status and load; The ground monitoring and feedback module is used to monitor the system's operating status and task execution in real time, and feed the monitored information back to other modules for dynamic adjustment of system strategies. The real-time monitoring capability enables the system to detect problems in a timely manner and take corresponding measures to ensure the stability and efficiency of the system.

[0029] Intelligent scheduling algorithms are crucial in space-based edge cloud node modules. They can intelligently schedule and optimize resources according to the characteristics of the task and the system status to improve system performance and resource utilization.

[0030] Intelligent scheduling algorithms include: The algorithm first analyzes the characteristics of the task, including information such as task type, priority, processing time requirements, and resource requirements. The algorithm first conducts a detailed analysis of the task characteristics, including identification of task type, determination of priority, evaluation of processing time requirements, and quantitative analysis of resource requirements. By fully understanding the characteristics of the task, the algorithm can provide accurate basis and direction for subsequent resource scheduling and optimization. System status monitoring: monitors the current resource status of the system, including the availability of computing resources, storage resources, network bandwidth, and other aspects. The algorithm continuously monitors the current resource status of the system. This includes real-time monitoring of computing resource utilization, storage resource availability, network bandwidth load, and more. By continuously monitoring the status of system resources, the algorithm can accurately grasp the utilization of system resources and provide timely data support for resource scheduling. Resource evaluation: Based on the mission characteristics and system status, the algorithm evaluates available resources, including indicators such as resource performance and reliability. Based on the mission characteristics and system status, the algorithm conducts a comprehensive evaluation of available resources, involving the evaluation of indicators such as resource performance, reliability, and latency. By comprehensively evaluating various resource indicators, the algorithm can provide a more accurate basis for subsequent resource matching. Resource matching: Based on task requirements and resource evaluation results, the algorithm intelligently matches tasks and available resources to achieve optimal resource utilization and task execution efficiency. This algorithm intelligently matches tasks and available resources based on task requirements and resource evaluation results. This requires comprehensive consideration of task characteristics, resource status, and the overall system load. By accurately matching tasks and resources, the algorithm maximizes resource utilization and ensures high efficiency and quality of task execution. Dynamic Adjustment: The algorithm has the ability to dynamically adjust resource allocation strategies based on the system's real-time status and task execution to adapt to varying workloads and environmental changes. The algorithm can flexibly adjust resource allocation plans based on varying workloads and environmental changes to maintain system stability and efficiency. Dynamic adjustment enables the system to quickly adapt to varying needs, improving its adaptability and flexibility.

[0031] The implementation of intelligent scheduling algorithms begins with task characteristics analysis, then progresses through system status monitoring, resource assessment, resource matching, and dynamic adjustment to achieve intelligent resource scheduling and optimization. The algorithm's flexibility and intelligence help the system effectively manage resources and improve overall system performance.

[0032] In summary, the introduction of space-based edge cloud node modules, the combination of intelligent scheduling algorithms and collaborative management mechanisms have achieved comprehensive optimization of satellite communication system service scheduling, improving the system's flexibility, real-time performance, and efficiency. The introduction of space-based edge cloud node modules and the application of intelligent scheduling algorithms have made service scheduling more flexible and better able to adapt to changes in dynamic business needs. The application of edge computing technology and the design of collaborative management mechanisms have effectively improved resource utilization efficiency, reduced resource waste, and enhanced overall system performance. Combined with edge computing technology, real-time optimization of business processing has been achieved, data transmission delays have been reduced, and business processing efficiency has been improved. The collaborative management mechanism promotes information exchange and resource coordination between satellite and ground monitoring and feedback modules, enhances their synergy, and optimizes overall business scheduling. The highly intelligent and flexible architecture of the space-ground collaborative service scheduling system, based on the space-based edge cloud, effectively manages service scheduling and optimizes resource utilization. The collaborative work between various components and modules enables the system to quickly respond to the needs of different types of tasks, improving overall system performance and efficiency. This provides reliable support for space-ground collaborative services and helps achieve efficient operation and management of these services.

[0033] Those skilled in the art will appreciate that various combinations and / or combinations of features described in the various embodiments and / or claims of the present invention may be made, even if such combinations and / or combinations are not explicitly described in the present invention. In particular, various combinations and / or combinations of features described in the various embodiments and / or claims of the present invention may be made, without departing from the spirit and teachings of the present invention. All such combinations and / or combinations fall within the scope of the present invention.

Claims

1. A satellite-ground collaborative service scheduling method based on space-based edge cloud, characterized in that: The following steps are involved: S1. Introducing space-based edge cloud node modules as edge nodes for business processing and data storage to achieve rapid data processing and storage; S2. Introducing intelligent scheduling algorithms to adjust the service scheduling module in real time based on service characteristics and current network status; S3: Implement a collaborative management mechanism between satellites and satellite-to-ground terminals to achieve information exchange and resource collaboration; S4. Combine edge computing technology to optimize the real-time performance of business processing and resource utilization efficiency.

2. The system of the space-ground collaborative service scheduling method based on space-based edge cloud according to claim 1 is characterized in that: It includes satellite-to-ground terminals, satellites, space-based edge cloud node modules, service scheduling modules, data processing modules, network management modules, and ground monitoring and feedback modules; The satellite-to-ground terminal is used to communicate and exchange data with the space-based network; The satellite is responsible for relaying communications between the ground terminal and the ground monitoring and feedback module; The space-based edge cloud node module is used to provide computing and storage resources to support business scheduling and processing; The service scheduling module is used to perform service scheduling and resource allocation according to service requirements and network status, thereby optimizing service performance and user experience; The data processing module is used to process data transmitted from the satellite-to-ground terminal and the satellite; The network management module is used to manage the communication connection between the space-based edge cloud node module and the satellite, and monitor the network status and load; The ground monitoring and feedback module is used to monitor the system's operating status and task execution in real time, and feed back the monitored information to other modules.

3. The system of the space-ground collaborative service scheduling method based on space-based edge cloud according to claim 2 is characterized in that: The satellite-to-ground terminal is connected to the satellite, the satellite is connected to the space-based edge cloud node module, the space-based edge cloud node module is connected to the service scheduling module and the data processing module respectively, the data processing module is connected to the network management module, and the network management module is connected to the ground monitoring and feedback module.

4. The system of the space-ground collaborative service scheduling method based on space-based edge cloud according to claim 3 is characterized in that: The space-based edge cloud node module includes a data receiving unit, a data preprocessing unit, a service identification and classification unit, a task scheduling and allocation unit, a data processing and analysis unit, a result generation and feedback unit, a system monitoring and optimization unit, and a task completion and data transmission unit; The data receiving unit is used to cache and sort data; The data preprocessing unit is used for data format conversion, data cleaning and deduplication; The service identification and classification unit is used to assign different types of services to corresponding data processing modules; The task scheduling and allocation unit is used to intelligently schedule and allocate tasks based on business identification and system resource conditions; The data processing and analysis unit is used for parsing, storing, computing and analyzing data; The result generation and feedback unit is used to generate the final processing result after the processed data passes through the result generation stage; The system monitoring and optimization unit is used to monitor the system's performance indicators and task status in real time, so as to detect problems in a timely manner and take corresponding measures; The mission completion and data transmission unit is used to transmit the generated results back to the satellite link for further transmission to the ground or other destinations.

5. The system of the space-ground collaborative service scheduling method based on space-based edge cloud according to claim 4 is characterized in that: The data receiving unit is connected to the data preprocessing unit, the data preprocessing unit is connected to the business identification and classification unit, the business identification and classification unit is connected to the task scheduling and allocation unit, the task scheduling and allocation unit is connected to the data processing and analysis unit, the data processing and analysis unit is connected to the result generation and feedback unit, the result generation and feedback unit is connected to the system monitoring and optimization unit, and the system monitoring and optimization unit is connected to the task completion and data transmission unit.

6. The system of the space-ground collaborative service scheduling method based on space-based edge cloud according to claim 5 is characterized in that: The business scheduling module includes a task receiving unit, a task analysis unit, a resource scheduling unit, a task allocation unit and a monitoring and feedback unit; The task receiving unit is used to receive a task request from the data processing module; The task analysis unit is used to analyze the received task; The resource scheduling unit is used to perform resource scheduling based on the characteristics of the task and the current state of the system; The task allocation unit is used to allocate tasks to appropriate processing units; The monitoring and feedback unit is used to monitor the task execution process, adjust resource allocation and processing strategies in real time, and feed back processing results to the data processing module and other related modules.

7. The system of the space-ground collaborative service scheduling method based on space-based edge cloud according to claim 6 is characterized in that: The task receiving unit is connected to the task analyzing unit, the task analyzing unit is connected to the resource scheduling unit, the resource scheduling unit is connected to the task allocating unit, and the task allocating unit is connected to the monitoring and feedback unit.

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