Telecommunication capability calling method
By sinking the telecommunication capability call logic to the network edge nodes, local data processing is achieved, and the problems of high latency, poor adaptability and inflexible resource allocation in the existing technology are solved, which significantly improves the response speed and user experience of telecommunications services, and enhances the reliability and security of the system.
Patent Information
- Application Number
- CN202510159774.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-13
- Publication Date
- 2025-05-16
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
When facing the growing user needs and complex and changing network environments, existing telecommunications capability calling methods have problems such as high latency, poor adaptability and inflexible resource allocation, which affects the user experience and the development of telecommunications services.
By sinking part of the logic of telecommunications capability calls to the network edge nodes, local rapid processing and response of data can be achieved, and edge nodes can be used for pre-processing, direct calls, historical cache calls, resource allocation, forwarding and collaborative processing, result aggregation and return processing, etc.
It significantly reduces data transmission delay, improves the response speed and user experience of telecommunications services, reduces network bandwidth pressure, enhances the reliability and security of the system, and maintains efficient and stable capability calls in complex network environments.
Smart Images
Figure CN120017655A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of communication technology, and in particular to a telecommunication capability calling method. Background Art
[0002] With the rapid development of information technology, the business demand in the telecommunications field is constantly growing, and users have higher and higher requirements for the quality and response speed of telecommunications services. In today's digital age, people rely on telecommunications services for daily communication, work, entertainment and other activities. From high-definition video calls to large-scale data transmission, from real-time online games to smart Internet of Things applications, the widespread development of various telecommunications services has posed severe challenges to the capabilities of telecommunications systems. Traditional telecommunications system architecture mainly relies on centralized data centers for processing and response. With the rapid increase in the number of users and the continuous enrichment of business types, this centralized architecture has gradually revealed its limitations.
[0003] At present, in the existing telecommunication capability calling methods, data processing is mainly concentrated in the central server far away from the user, which leads to a long data transmission distance and inevitably brings high latency. When a user initiates a telecommunication capability calling request, the request needs to pass through multiple network nodes to reach the central server for processing, and the processed result is returned to the user along the same path. The time consumed in this process seriously affects the services with high real-time requirements, and the large amount of data transmission increases the pressure on the network bandwidth. When encountering problems such as network congestion and unstable signals, it is difficult to quickly adjust the calling strategy to ensure service quality. Failure of a single data center will directly affect all services connected to the center, reducing overall reliability.
[0004] To sum up, the existing telecommunication capability calling methods have the problems of high latency, poor adaptability, and inflexible resource allocation in the face of growing user demand and complex and changing network environments. These problems not only affect the user experience, but also restrict the further development of telecommunication services. Therefore, there is an urgent need for a telecommunication capability calling method based on edge node technology that can make full use of edge nodes and sink part of the capability calling logic to the network edge nodes to meet users' demand for high-speed, low-latency telecommunication services. Summary of the invention
[0005] The purpose of the present invention is to make up for the shortcomings of the prior art and provide a telecommunication capability calling method, which can realize local rapid processing and response of data by sinking part of the logic of telecommunication capability calling to the network edge node, greatly reducing the delay of data transmission. This instant capability calling acceleration not only improves the response speed of telecommunication services, but also significantly improves the user experience. Users can quickly obtain processing results after initiating a request.
[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: a telecommunication capability calling method, the calling method comprising:
[0007] S100, the client initiates a capability request: when a user and a device initiate a telecom capability call request through a client, the request is routed to an edge node through a telecom network, and the edge node receives the request and immediately performs pre-processing operations, including verifying the user identity, checking the request format, and parsing the request content;
[0008] S200, edge node receives and processes requests: the edge node listens to all requests from the client, and immediately parses and processes the received new requests. The processing of all requests includes: direct call processing, historical cache call, resource allocation, forwarding and collaborative processing results, aggregation and return processing, wherein the direct call directly executes the operation and returns the result to the client when the local processing capability is called; the historical cache call directly reads data from the cache when the requested content has been cached on the edge node; the resource allocation processing determines whether to process the request immediately and queue it for processing based on the current load situation and priority strategy; the forwarding and collaborative processing forwards the request to the cloud server and other edge nodes when the edge node cannot directly process the request and the data is not in the local cache and needs to call the services of other nodes; the result aggregation and return processing involves collaborative processing of multiple nodes for requests. The edge node is responsible for aggregating and collating the processing results of each node and returning the final processing result to the user and device;
[0009] S300, cloud server interaction: The cloud server adopts a distributed architecture and is composed of multiple servers, including: a management server, a data storage server, and a computing server. The management server receives the forwarding and collaborative processing of new requests from edge nodes, centrally manages and coordinates multiple edge nodes; the data storage server is used to securely store user data, including user personal information, business data, log data generated during operation, and data requests and processing data of edge nodes; the computing server can process complex telecommunication capability call requests, and perform data analysis and mining to optimize network resource allocation, that is, dynamically adjust and optimize bandwidth allocation according to user needs and network conditions. The calculation formula is: B i represents the bandwidth allocated to the i-th user, D i and D j Respectively represent the data requirements of the i-th and j-th users, P i and P j denote the priority of the i-th and j-th user, B total represents the total bandwidth, n represents the total number of users, and Bi Allocate bandwidth based on user data requirements and priorities, so that high-priority users and users with large data requirements can obtain more bandwidth resources, allowing computing servers to allocate resources more efficiently;
[0010] S400, result return: the return of processing results, including direct return to the client and forwarding via the edge node, wherein, for all processing is completed at the edge node, the result is directly returned to the client by the edge node, and for the result processed by the cloud, the edge node will receive the data returned by the cloud and forward it to the client.
[0011] Furthermore, the edge node in the capability request initiated by the S100 client determines the deployment location of the edge node according to the network topology and user distribution, and configures the edge node, including cached telecommunication capability call logic and data, and parameters of dynamic adjustment strategy.
[0012] Furthermore, when the S200 edge node receives and processes a request to initiate a telecommunication capability call request for a user or device, the request is routed to the nearest edge node through the telecommunication network. After receiving the request, the edge node immediately performs a parsing operation, including verifying the user identity, checking the request format, and parsing the request content.
[0013] Furthermore, in the S300 cloud server interaction, the cloud server and the edge node adopt a two-way communication mechanism. The edge node reports the local operating status and business data to the cloud server, and the cloud server analyzes and makes decisions based on this. When the edge node cannot meet the user and device requests, the request is forwarded to the cloud. After the cloud processing is completed, the result is sent to the S400 result return.
[0014] Furthermore, in the S300 cloud server interaction, if the data and services involved in the request are not within the local storage and processing range of the edge node, the management server sends a further request to the cloud server.
[0015] Furthermore, when the load of the management server on the edge node is too high in the S300 cloud server interaction, the management server deploys idle resources of other edge nodes to allocate more computing, storage and network resources to the edge node.
[0016] Furthermore, in the S300 cloud server interaction, when the data storage server needs to access the data of a specific user for the edge nodes and components, the data storage server can quickly respond to the historical settings and preference information of the user and components and provide accurate data.
[0017] Furthermore, the data storage server in the S300 cloud server interaction can quickly perform data recovery and support data backup in the event of system failure and data corruption.
[0018] Furthermore, when the edge node cannot independently process complex service requests, the S300 cloud server interaction forwards the request to the cloud computing server, which uses its computing power to perform large-scale data processing and predict user needs and optimize network resource allocation tasks, that is, predict future network traffic needs based on user needs, through the formula:
[0019] Make predictions, where represents the predicted network traffic at time t, Y t-i represents the actual network traffic at the past time point ti, φ i represents the regression coefficient, θ j Represents the moving average coefficient, which is used to capture random fluctuations in time series. t represents the prediction error at time t, c is a constant term used to adjust the baseline level of the prediction value, p and q represent the number of users i and j, and combined with the predicted network traffic demand, the resource allocation is further optimized, that is, the resource allocation optimization is expressed as: Among them, R t+1 represents the resource allocation at time t+1, R t represents the resource allocation at time t, α is the adjustment coefficient, which is used to control the sensitivity of resource adjustment, is the predicted network traffic demand at the next time point, Y t is the actual network traffic demand at the current point in time. Based on the resource allocation result, sufficient resources are available during high demand periods, while resources are released during low demand periods.
[0020] Furthermore, the telecom capability calling strategy in the S300 cloud server interaction includes:
[0021] Network status monitoring: real-time monitoring of network bandwidth, latency, and packet loss rate indicators to assess the health of the network;
[0022] User behavior analysis: Analyze user usage patterns and preferences to provide personalized services;
[0023] Performance evaluation: Regularly evaluate the performance of edge nodes, including processing speed, response time, and resource utilization.
[0024] Compared with the prior art, this telecommunication capability calling method has the following beneficial effects:
[0025] 1. The present invention realizes the localization of data processing by sinking part of the capability call logic to the network edge node. This edge computing-based method greatly reduces the round-trip time of data from the terminal device to the cloud data center, thereby significantly reducing the overall data transmission delay. For applications with high real-time requirements, this low-latency feature can provide a smoother and more responsive service experience. Moreover, since most of the data processing tasks are completed locally, only necessary information will be sent to the cloud, which not only reduces the pressure on the core network, but also further improves the overall performance of the service. Therefore, users can enjoy faster and more stable services, especially in poor network conditions. Good service quality can be maintained.
[0026] 2. The present invention introduces the ability to dynamically adjust the calling strategy, so that the edge node can automatically optimize the resource allocation and service response mechanism according to the local network conditions. This adaptive mechanism can not only maintain efficient and stable capability calling in a complex network environment, but also effectively respond to sudden network congestion and failure conditions, improve the overall reliability of the system, and reduce the need to transmit sensitive data to the cloud by performing data processing on the edge node, thereby reducing the risk of data leakage. It not only improves the robustness and security of the system, but also provides users with a more secure and controllable information exchange environment, enhancing users' trust in the service.
[0027] Other advantages, objectives and features of the present invention will be set forth in part in the following description and, in part, will be apparent to those skilled in the art based on an examination of the following or may be taught from the practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS
[0028] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.
[0029] Figure 1 The present invention is an operation flow chart of a telecommunication capability invocation method.
[0030] Figure 2 The present invention is a flow chart of a second embodiment of a telecommunication capability calling method. DETAILED DESCRIPTION
[0031] The technical solutions in the embodiments of the present invention are described clearly and completely below. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0032] Embodiment 1
[0033] This embodiment provides a specific application process of a telecommunication capability calling method in a high-definition video call, which adopts a distributed architecture and is mainly composed of a client, an edge node, and a cloud server; wherein the client includes a user terminal (such as a smart phone, a tablet computer, etc.) for initiating and receiving video call requests; the edge node is deployed at the edge of the telecommunication network and is responsible for processing video call requests from users in nearby areas; the cloud server is responsible for managing and coordinating multiple edge nodes and processing complex data analysis and mining tasks.
[0034] In step S110, when a user initiates a high-definition video call request through the client, the request is routed to the nearest edge node through the telecommunications network. After receiving the request, the edge node immediately performs pre-processing operations, including verifying the user identity, checking the request format, and parsing the request content to ensure the validity of the request.
[0035] In step S220, the edge node selects an appropriate processing method based on the current network status and user distribution. For simple video call requests, such as direct calls or calling historical cached call records, the edge node will directly perform the operation and return the result to the client S102. For requests that require more complex processing or data that is not cached locally, the edge node forwards the request to the cloud server or other edge nodes for collaborative processing, including:
[0036] S221, direct call processing: For video call requests that can be processed locally, the edge node directly performs operations such as encoding, decoding, transmission, and synchronization of audio and video data to ensure the smoothness of the video call;
[0037] S222, historical cache call: if the requested content (such as previous call records) has been cached on the edge node, the edge node will directly read the data from the cache, reducing processing time and bandwidth consumption;
[0038] S223, forwarding and collaborative processing: For complex requests or data not cached locally, the edge node forwards the request to the cloud server or other edge nodes for collaborative processing, such as cross-regional video calls, multi-person conferences, etc.
[0039] In step S330, after receiving the request forwarded by the edge node, the cloud server uses its own computing power and storage resources to process it. The management server is responsible for coordinating multiple edge nodes to ensure the smooth progress of the video call; the data storage server is used to securely store user data and call records; the computing server is responsible for handling complex video processing tasks to improve the quality of video calls, and a two-way communication mechanism is adopted between the cloud server and the edge node. The edge node regularly reports the local operating status and business data to the cloud server. The cloud server makes decisions based on these data and provides necessary support and guidance for the edge node.
[0040] Management server: S331, if the data and services involved in the request are not within the local storage and processing range of the edge node, further requests are sent to the cloud server;
[0041] S332: When the load of an edge node is too high, the management server allocates idle resources of other edge nodes to allocate more computing, storage and network resources to the edge node.
[0042] Data storage server: S333, when edge nodes and components need to access data of a specific user, the data storage server can quickly respond to the historical settings and preference information of the user and component and provide accurate data;
[0043] S334 can quickly restore data in case of system failure and data corruption, and supports data backup.
[0044] Computing server: S335, when the edge node cannot independently process complex business requests, it forwards the request to the computing server in the cloud. The computing server uses its computing power to perform large-scale data processing, predict user needs and optimize network resource allocation tasks, that is, predict future network traffic needs based on user needs, through the formula: Make predictions and further optimize resource allocation based on the predicted network traffic demand. That is, resource allocation optimization is expressed as: And dynamically adjust bandwidth allocation based on user data needs and priorities: This will enable comprehensive resource optimization and prediction.
[0045] Step S440, after the processing is completed, the edge node returns the result to the client. For all processing completed at the edge node, the result will be directly returned by the edge node to the client in step S110; for the result processed by the cloud, the edge node will receive the data returned by the cloud and forward it to the client in step S110. The user can start or continue a high-definition video call on the client and enjoy a smooth and clear call experience.
[0046] Through the application of this embodiment, the real-time performance and user experience of high-definition video calls are significantly improved. Since part of the video processing logic is sunk to the network edge nodes, the data transmission delay and bandwidth consumption are reduced. At the same time, the dynamic adjustment strategy of the edge nodes can automatically optimize resource allocation and service response mechanism according to network conditions, thereby improving the overall reliability and stability. Users can enjoy smooth and clear high-definition video call services in different network environments.
[0047] Embodiment 2
[0048] This embodiment provides a telecommunication capability calling method based on edge node instant capability calling acceleration application in a smart retail system, and its process is as follows: Figure 2 As shown, with the rise of new retail models, smart retail systems provide consumers with a more convenient and personalized shopping experience by integrating advanced information, communication and technical means. This embodiment applies an instant capability call acceleration method based on edge nodes to the smart retail system to improve the system's response speed and service quality.
[0049] In a specific implementation, the architecture of a telecommunication capability calling method in a smart retail system consists of: application client devices: smart shopping carts: equipped with RFID readers, cameras and other sensors; mobile terminals: consumers' smartphones or other mobile devices; edge nodes: small data centers deployed in supermarkets or shopping malls, which have certain computing and storage capabilities, and are responsible for receiving and processing data requests from smart shopping carts and mobile terminals; cloud servers: composed of management servers, data storage servers and computing servers, which are used to centrally manage and coordinate multiple edge nodes and handle complex data analysis tasks.
[0050] First, the consumer uses a smart shopping cart to scan the product barcode, generating a request containing product information and user identification. The request is sent to the nearest edge node A via a wireless network (such as Wi-Fi), and edge node A receives and processes the request:
[0051] After receiving the request, edge node A immediately performs preprocessing operations, including verifying the user identity, checking the request format, and parsing the request content;
[0052] If the request is a simple product information query, edge node A can directly read the data from the local cache and return it to the client;
[0053] If more complex processing is required (such as inventory query or personalized recommendation), edge node A decides whether to process it immediately or queue it for processing based on the current load situation.
[0054] Then, assuming that the current load of edge node A is high and it cannot process the request immediately, it will forward the request to the next edge node B. After receiving the request, edge node B also performs preprocessing operations and decides whether to process or continue forwarding according to its own load situation, and further processes it:
[0055] If edge node B is able to process the request, it will perform the corresponding operation, such as querying inventory information or generating personalized recommendations;
[0056] If edge node B is also unable to process the request, it will forward the request to the next edge node C;
[0057] After edge node C receives the request, it repeats the above steps until it finds an edge node that can process the request.
[0058] Subsequently, if all edge nodes are unable to process the request, or the data and services involved in the request are not within the local storage or processing range of the edge node, the request will eventually be forwarded to the cloud server, which uses its powerful computing power to perform complex tasks such as inventory management, data analysis, and personalized recommendations, and returns the results to the last edge node that processed the request (assuming it is edge node C). The result is returned:
[0059] After edge node C receives the data returned by the cloud, it forwards the result to the previous edge node B;
[0060] Edge node B then forwards the result to edge node A;
[0061] Finally, edge node A returns the processing results to the client (smart shopping cart or mobile terminal). The edge node continuously monitors the local network status and performance indicators, and dynamically adjusts resource allocation and service response mechanisms according to actual conditions. The cloud server regularly evaluates the performance of the edge node to ensure efficient and stable operation of the system.
[0062] In summary, by applying an instant capability based on edge nodes of a telecommunication capability calling method to the smart retail system, the data transmission delay is significantly reduced, a smoother and more responsive service experience is provided, the reliability and security of the system are improved, data privacy protection is enhanced, and the efficiency and user experience of the overall retail system are improved through real-time inventory query and personalized recommendations.
[0063] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.
Claims
1. A telecommunication capability calling method, characterized in that: The calling method includes: S100, the client initiates a capability request: when a user and a device initiate a telecom capability call request through a client, the request is routed to an edge node through a telecom network, and the edge node receives the request and immediately performs pre-processing operations, including verifying the user identity, checking the request format, and parsing the request content; S200, the edge node receives and processes the request: the edge node monitors all requests from the client, and immediately parses and processes the received new request; S300, cloud server interaction: the cloud server adopts a distributed architecture and is composed of multiple servers, including: a management server, a data storage server, and a computing server, wherein the management server receives the forwarding and collaborative processing of new requests by edge nodes, centrally manages and coordinates multiple edge nodes; the data storage server is used to securely store user data, including user personal information, business data, log data generated during operation, and data requests and processing data of edge nodes; the computing server can process complex telecommunication capability call requests, and perform data analysis and mining to optimize network resource allocation; S400, result return: the return of processing results, including direct return to the client and forwarding via the edge node, wherein, for all processing is completed at the edge node, the result is directly returned to the client by the edge node, and for the result processed by the cloud, the edge node will receive the data returned by the cloud and forward it to the client.
2. A telecommunication capability calling method according to claim 1, characterized in that: The edge node in the capability request initiated by the S100 client determines the deployment location of the edge node according to the network topology and user distribution, and configures the edge node, including cached telecommunication capability call logic and data, and parameters of dynamic adjustment strategy.
3. A telecommunication capability calling method according to claim 1, characterized in that: In S200, the edge node processes all requests from the client, and the processing includes: direct call, historical cache call, resource allocation processing, forwarding and collaborative processing results, aggregation and return processing, wherein the direct call is for the local processing capability call, the edge node directly executes the operation and returns the result to the client; the historical cache call is for the requested content that has been cached on the edge node, and the data is directly read from the cache; the resource allocation processing is based on the current load situation and priority strategy, and the edge node decides whether to process the request immediately and queue it for processing; the forwarding and collaborative processing is for the edge node cannot directly process the request and the data is not in the local cache, and the service of other nodes needs to be called, then the request is forwarded to the cloud server and other edge nodes; the result aggregation and return processing is for the collaborative processing of the request involving multiple nodes, the edge node is responsible for aggregating and collating the processing results of each node, and returning the final processing result to the user and the device; When the edge node initiates a telecommunication capability call request for a user or device, the request is routed to the nearest edge node through the telecommunication network. After receiving the request, the edge node immediately performs a parsing operation, including verifying the user identity, checking the request format, and parsing the request content.
4. A telecommunication capability calling method according to claim 1, characterized in that: In the S300 cloud server interaction, the cloud server and the edge node adopt a two-way communication mechanism. The edge node reports the local operating status and business data to the cloud server, and the cloud server analyzes and makes decisions based on this. When the edge node cannot meet the user and device request, the request is forwarded to the cloud. After the cloud processing is completed, the result is sent to the S400 result return.
5. A telecommunication capability calling method according to claim 1, characterized in that: In the S300 cloud server interaction, if the data and services involved in the request are not within the local storage and processing range of the edge node, the management server sends a further request to the cloud server.
6. A telecommunication capability calling method according to claim 1, characterized in that: When the load of the management server on the edge node is too high in the S300 cloud server interaction, the management server deploys idle resources of other edge nodes to allocate more computing, storage and network resources to the edge node.
7. A telecommunication capability calling method according to claim 1, characterized in that: When the data storage server in the S300 cloud server interaction needs to access the data of a specific user for the edge nodes and components, the data storage server can quickly respond to the historical settings and preference information of the user and components and provide accurate data.
8. A telecommunication capability calling method according to claim 1, characterized in that: The data storage server in the S300 cloud server interaction can quickly restore data in the event of system failure and data corruption, and supports data backup.
9. A telecommunication capability calling method according to claim 1, characterized in that: The computing server in the S300 cloud server dynamically adjusts and optimizes bandwidth allocation according to user needs and network conditions. The calculation formula is: B i represents the bandwidth allocated to the i-th user, D i and D j Respectively represent the data requirements of the i-th and j-th users, P i and P j denote the priority of the i-th and j-th user, B total represents the total bandwidth, n represents the total number of users, and B i Allocate bandwidth based on user data requirements and priorities, so that high-priority users and users with large data requirements can obtain more bandwidth resources, allowing computing servers to allocate resources more efficiently; When edge nodes cannot process complex business requests independently, they forward the requests to the computing servers in the cloud. The computing servers use their computing power to perform large-scale data processing and predict user needs and optimize network resource allocation. That is, they predict future network traffic needs based on user needs, using the formula: Make predictions, where represents the predicted network traffic at time t, Y t-i represents the actual network traffic at the past time point ti, φ i represents the regression coefficient, θ j Represents the moving average coefficient, which is used to capture random fluctuations in time series. t represents the prediction error at time t, c is a constant term used to adjust the baseline level of the prediction value, p and q represent the number of users i and j, and combined with the predicted network traffic demand, the resource allocation is further optimized, that is, the resource allocation optimization is expressed as: Among them, R t+1 represents the resource allocation at time t+1, R t represents the resource allocation at time t, α is the adjustment coefficient, which is used to control the sensitivity of resource adjustment, is the predicted network traffic demand at the next time point, Y t is the actual network traffic demand at the current point in time. Based on the resource allocation result, sufficient resources are available during high demand periods, while resources are released during low demand periods.
10. A telecommunication capability calling method according to claim 1, characterized in that: The telecom capability calling strategy in the S300 cloud server interaction includes: Network status monitoring: real-time monitoring of network bandwidth, latency, and packet loss rate indicators to assess the health of the network; User behavior analysis: Analyze user usage patterns and preferences to provide personalized services; Performance evaluation: Regularly evaluate the performance of edge nodes, including processing speed, response time, and resource utilization.