Node collaborative end-side cloud management method and system

Abstract

The invention discloses a node collaborative end-side cloud management method and system, and relates to the technical field of end-side cloud collaborative computing, and the method comprises the steps: constructing a computing architecture of a terminal, an edge server and a cloud server based on a collaborative computing algorithm, and forming a node collaborative end-side cloud computing framework. According to the invention, the payment settlement task is distributed to each equipment layer of the computing architecture through the collaborative computing algorithm, so that each terminal can realize the operation of the initial result by using the own computing power, and each terminal only transmits the operation result to the edge server cluster; the computing framework of the node collaborative end edge cloud is high in data secrecy degree, the operation result of each terminal is not final settlement, an edge server needs to execute operation under the distribution of a data result encryption algorithm to generate a secondary result, and the secondary result is uploaded again, so that the calculation efficiency is greatly improved. And a final result can be obtained only by operation of the cloud server with a relatively high security protection level.

Description

Technical Field

[0001] The present invention relates to the field of end-edge-cloud collaborative computing technology, and in particular to a node-based collaborative end-edge-cloud management method and system. Background Art

[0002] As a modern IT architecture, the edge-end cloud architecture aims to achieve efficient data processing and business services by closely integrating cloud computing, edge computing and terminal devices. In the power grid payment and settlement system, the store system and order procurement system need to process a large amount of order data from different customers and accurately complete the collection and payment process. This not only involves toC (to consumers) business, but also toB (to corporate customers) transactions, which may include complex quota management and major customer reconciliation processes. Therefore, the payment and settlement system of the power grid usually relies on the support of the edge-end cloud architecture, including database management, interface development and system integration. When processing and storing large amounts of personal and corporate data, how to ensure that data privacy is not violated is an important issue that the edge-end cloud architecture needs to solve. To this end, it is necessary to propose a node-based collaborative edge-end cloud management method and system in view of the shortcomings of data privacy leakage in the traditional power grid payment and settlement system. Summary of the invention

[0003] In view of the problems existing in the existing node-based collaborative end-edge cloud management and system, the present invention is proposed.

[0004] Therefore, the problem to be solved by the present invention is that the traditional power grid payment and settlement system has the disadvantage of data privacy leakage.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0006] In a first aspect, an embodiment of the present invention provides a node-based collaborative end-edge cloud management method, which includes the following steps:

[0007] Receive the network access information of each terminal, and incorporate the received terminals into the edge server to form a computing framework of the terminal and the edge server;

[0008] Establish a cloud server and edge server computing framework between the cloud server and multiple edge servers;

[0009] Distribute collaborative computing algorithms to various device layers of the computing architecture of terminals, edge servers, and cloud servers;

[0010] Then receive the payment settlement task and generate the initial payment settlement result;

[0011] Distribute the initial payment settlement result to the edge server to generate a secondary payment settlement result;

[0012] The secondary payment settlement result output by the edge server is calculated through the cloud server to obtain the final payment settlement result of the payment settlement task.

[0013] As a preferred solution of the node-based collaborative end-edge-cloud management method of the present invention, the step of forming a computing framework of the terminal and the edge server includes:

[0014] Select the network access information of a terminal;

[0015] Determine the IP address of the terminal;

[0016] The IP address is stored in the edge server's memory;

[0017] Call the computing power measurement program of the edge server;

[0018] Determine the computing power performance of the terminal;

[0019] Assign a computing power performance label to the IP address;

[0020] Return to the selection of network access information of a terminal until the network access information of all terminals is selected.

[0021] As a preferred solution of the node-based collaborative end-edge-cloud management method of the present invention, the step of forming a computing framework of the terminal and the edge server also includes:

[0022] Select an IP address of a terminal in the memory;

[0023] Determine a traversal cycle;

[0024] Based on the traversal cycle, a computing power measurement program is executed on the terminal of the IP address;

[0025] Using the results of the computing power measurement program, determine the real-time computing power performance of the terminal;

[0026] Assign a computing power performance label to the IP address;

[0027] The IP address of one terminal in the memory is returned until all IP addresses are selected.

[0028] As a preferred solution of the node-based collaborative end-edge cloud management method of the present invention, the steps of establishing a cloud server and an edge server computing framework between a cloud server and multiple edge servers include:

[0029] Select an edge server;

[0030] An IP address is selected, and the IP address is stored in a memory of the selected edge server;

[0031] Based on the computing power performance tag of the IP address, determine the computing power performance of the terminal corresponding to the IP address;

[0032] Return to the step of selecting an IP address until all IP addresses have been selected;

[0033] Returning to selecting an edge server until all edge servers are selected;

[0034] Statistics on the basic computing power of cloud servers and edge server computing frameworks.

[0035] As a preferred solution of the node-based collaborative end-edge-cloud management method of the present invention, the step of allocating the collaborative computing algorithm to each device layer of the computing architecture of the terminal, edge server and cloud server includes:

[0036] Calling the basic computing power of cloud servers and edge server computing frameworks;

[0037] Split collaborative computing algorithms based on basic computing power;

[0038] Allocate the split collaborative computing algorithms according to the computing power performance of each terminal;

[0039] Based on the allocation scheme of the collaborative computing algorithm, a mapping relationship between the cloud server and each terminal, and a mapping relationship between the cloud server and each edge server are established.

[0040] As a preferred solution of the node-based collaborative end-edge-cloud management method of the present invention, receiving a payment settlement task specifically includes:

[0041] Use computing power to coordinate the calculation algorithm and determine the amount of calculation for the payment settlement task;

[0042] Based on the computational effort of the payment settlement task, determine whether the difficulty of the payment settlement task is consistent with the computing capability of the terminal;

[0043] If the difficulty of the payment settlement task meets the computing capability of the terminal, a collaborative computing algorithm is used to construct a first task allocation plan;

[0044] If the difficulty of the payment settlement task does not meet the computing capacity of the terminal, the computing task is adjusted to the edge server and the cloud server to generate a second task allocation plan;

[0045] The step of generating the initial payment settlement result comprises:

[0046] receiving a first task assignment plan;

[0047] Select a terminal;

[0048] Determining whether the terminal matches at least one computing task in the task allocation plan;

[0049] If the terminal matches at least one computing task in the task allocation plan, the terminal is included in the terminal set to be selected, and the method of selecting a terminal is returned until all terminals are selected;

[0050] If the terminal does not match any computing task in the task allocation plan, return to the step of selecting a terminal until all terminals are selected;

[0051] Determine whether the comprehensive computing power of the terminal set to be selected is greater than the computing power required for the computing volume of the payment settlement task;

[0052] If the combined computing power of the terminal set to be selected is greater than the computing power required for the amount of computation required for the payment settlement task, the initial result of the terminal is generated;

[0053] If the comprehensive computing power of the terminal set to be selected is less than or equal to the computing power required for the computing amount of the payment settlement task, the second task allocation plan is called to generate an initial payment settlement result.

[0054] As a preferred solution of the node-based collaborative end-edge cloud management method of the present invention, the step of generating a payment settlement result includes:

[0055] Select an edge server;

[0056] Determine the computing power of the edge server;

[0057] The computing power of the edge server is used as the actual computing parameter;

[0058] Returning to selecting an edge server until all edge servers are selected;

[0059] Selecting an edge server according to the first task allocation plan or the second task allocation plan;

[0060] Adding the selected edge server into the set of edge servers to be selected;

[0061] The step of generating a secondary payment settlement result comprises:

[0062] Select a terminal;

[0063] Based on the data result encryption algorithm, select an edge server in the edge server set to be selected;

[0064] After calculating the initial payment settlement result output by the terminal and inputting it into the edge server, obtaining the secondary payment settlement result output by each edge server and the time consumed by each edge server to output the secondary payment settlement result;

[0065] Returning to selecting an edge server in the edge server set to be selected until all edge servers are selected;

[0066] Return to selecting a terminal until all terminals are selected;

[0067] Select the terminal that takes the shortest time to output the initial payment settlement result and the edge server that takes the shortest time to output the secondary payment settlement result, and combine the two to obtain the shortest time combination;

[0068] Adjust the computing architecture based on the terminal, edge server and cloud server according to the terminal and edge server included in the combination with the shortest time;

[0069] Generate collaborative computing algorithms based on data result encryption algorithms;

[0070] The collaborative computing algorithm is distributed to each device layer of the computing architecture.

[0071] In a second aspect, an embodiment of the present invention provides a node-based collaborative end-edge cloud management system, which includes:

[0072] In a third aspect, an embodiment of the present invention provides a computer device, comprising a memory and a processor, wherein the memory stores a computer program, wherein: when the processor executes the computer program, it implements any step of the above-mentioned node-based collaborative end-edge cloud management method.

[0073] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium on which a computer program is stored, wherein: when the computer program is executed by a processor, any step of the above-mentioned node-based collaborative end-edge cloud management method is implemented.

[0074] The beneficial effects of the present invention are as follows: by receiving the network access information of the terminal, each terminal is included in the terminal and edge server computing architecture, and a cloud server and edge server computing framework between the cloud server and multiple edge servers is established to form a node-based cloud server and edge server computing framework. Then, based on the collaborative computing algorithm, a computing architecture of the terminal, edge server and cloud server is constructed to form a node-based collaborative end-edge cloud computing framework. Since the payment settlement task is allocated to each device layer of the computing architecture through the collaborative computing algorithm, each terminal can use its own computing power to realize the calculation of the initial result. Each terminal only transmits the calculation result to the edge server cluster, so the computing framework of the node-based collaborative end-edge cloud has a high degree of data confidentiality, and the calculation result of each terminal is not the final settlement. It is necessary for the edge server to perform calculations under the distribution of the data result encryption algorithm to generate secondary results, and the secondary results are uploaded again, and the final result can be obtained by the cloud server with a higher security protection level. BRIEF DESCRIPTION OF THE DRAWINGS

[0075] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. Among them:

[0076] Figure 1 The flowchart of the node-based collaborative end-edge cloud management method.

[0077] Figure 2 This is a structural diagram of the node-based collaborative end-edge cloud management method. DETAILED DESCRIPTION

[0078] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0079] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0080] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0081] The present invention is described in detail with reference to schematic diagrams. When describing the embodiments of the present invention, for the sake of convenience, the cross-sectional diagrams showing the device structure will not be partially enlarged according to the general scale, and the schematic diagrams are only examples, which should not limit the scope of protection of the present invention. In addition, in actual production, the three-dimensional dimensions of length, width and depth should be included.

[0082] At the same time, in the description of the present invention, it should be noted that the directions or positional relationships indicated by the terms "upper, lower, inner and outer" are based on the directions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific direction, be constructed and operated in a specific direction, and therefore cannot be understood as limiting the present invention. In addition, the terms "first, second or third" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0083] In the present invention, unless otherwise clearly specified and limited, the terms "install, connect, connect" should be understood in a broad sense, for example: it can be a fixed connection, a detachable connection or an integral connection; it can also be a mechanical connection, an electrical connection or a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0084] Example 1

[0085] Reference Figure 1 and Figure 2 , which is the first embodiment of the present invention, and provides a node-based collaborative end-edge cloud management method, comprising the following steps:

[0086] S1. Receive the network access information of each terminal, and incorporate the received terminals into the edge server to form a computing framework of the terminal and the edge server.

[0087] The network access information includes the computing performance information of the terminal device, the IP address, network status, available memory, computing performance and other information of each heterogeneously distributed edge node.

[0088] One or more terminals and edge servers form a group of heterogeneously distributed edge nodes. Each edge node can view key indicator information such as the terminal's IP address, network status, available memory, computing performance, etc., and each edge node can perform end-edge collaborative computing.

[0089] One or more edge nodes can form the computing framework of the terminal and the edge server.

[0090] The steps of forming a computing framework of a terminal and an edge server include:

[0091] Select the network access information of a terminal;

[0092] Determine the IP address of the terminal;

[0093] The IP address is stored in the edge server's memory;

[0094] Call the computing power measurement program of the edge server;

[0095] Determine the computing power performance of the terminal;

[0096] Assign a computing power performance label to the IP address;

[0097] Return to the selection of network access information of a terminal until the network access information of all terminals is selected.

[0098] The step of forming a computing framework of the terminal and the edge server also includes:

[0099] Select an IP address of a terminal in the memory;

[0100] Determine a traversal cycle;

[0101] Based on the traversal cycle, a computing power measurement program is executed on the terminal of the IP address;

[0102] Using the results of the computing power measurement program, determine the real-time computing power performance of the terminal;

[0103] Assign a computing power performance label to the IP address;

[0104] The IP address of one terminal in the memory is returned until all IP addresses are selected.

[0105] S2. Establish a cloud server and edge server computing framework between the cloud server and multiple edge servers.

[0106] The cloud server and edge server computing framework can actually be part of the end-edge cloud computing framework. Since each edge server can form an edge node with one or more terminals, the cloud server can form a node-based collaborative end-edge cloud computing framework with the terminal through the edge server.

[0107] The edge server is the node of the edge cloud computing framework.

[0108] Select an edge server;

[0109] An IP address is selected, and the IP address is stored in a memory of the selected edge server;

[0110] Based on the computing power performance tag of the IP address, determine the computing power performance of the terminal corresponding to the IP address;

[0111] Return to the step of selecting an IP address until all IP addresses have been selected;

[0112] Returning to selecting an edge server until all edge servers are selected;

[0113] Statistics on the basic computing power of cloud servers and edge server computing frameworks.

[0114] S3. Distribute the collaborative computing algorithms to various device layers of the computing architecture of the terminal, edge server, and cloud server.

[0115] Calling the basic computing power of cloud servers and edge server computing frameworks;

[0116] Split collaborative computing algorithms based on basic computing power;

[0117] Allocate the split collaborative computing algorithms according to the computing power performance of each terminal;

[0118] Based on the allocation scheme of the collaborative computing algorithm, a mapping relationship between the cloud server and each terminal, and a mapping relationship between the cloud server and each edge server are established.

[0119] The device layer includes terminals, edge servers, and cloud servers;

[0120] The collaborative computing algorithm searches for the best model segmentation point and the best edge deployment node based on the relevant registration information, ensuring that the node-based collaborative end-edge cloud can achieve workload balance. In addition, when the edge architecture itself cannot bear a large number of deep learning tasks, the collaborative computing algorithm in the present invention will adaptively output the end-edge-cloud collaborative computing solution, allowing the cloud to take on part of the computing tasks, making full use of the powerful computing resources in the cloud. On the other hand, in the end-edge-cloud collaborative computing solution of the present invention, the original data must be preprocessed and preliminarily calculated at the terminal before being transmitted to the cloud, and the real-time features are transmitted to protect the privacy of the original data, and then it is transmitted to the terminal for calculation and then transmitted to the cloud, which can greatly improve the privacy of the intermediate data.

[0121] S4. Receive the payment settlement task again and generate the initial payment settlement result.

[0122] The payment settlement receiving task specifically includes:

[0123] Use computing power to coordinate the calculation algorithm and determine the amount of calculation for the payment settlement task;

[0124] Based on the computational effort of the payment settlement task, determine whether the difficulty of the payment settlement task is consistent with the computing capability of the terminal;

[0125] If the difficulty of the payment settlement task meets the computing capability of the terminal, a collaborative computing algorithm is used to construct a first task allocation plan;

[0126] If the difficulty of the payment settlement task does not meet the computing capacity of the terminal, the computing task is adjusted to the edge server and the cloud server to generate a second task allocation plan;

[0127] The step of generating the initial payment settlement result comprises:

[0128] receiving a first task assignment plan;

[0129] Select a terminal;

[0130] Determining whether the terminal matches at least one computing task in the task allocation plan;

[0131] If the terminal matches at least one computing task in the task allocation plan, the terminal is included in the terminal set to be selected, and the method of selecting a terminal is returned until all terminals are selected;

[0132] If the terminal does not match any computing task in the task allocation plan, return to the step of selecting a terminal until all terminals are selected;

[0133] Determine whether the comprehensive computing power of the terminal set to be selected is greater than the computing power required for the computing volume of the payment settlement task;

[0134] If the combined computing power of the terminal set to be selected is greater than the computing power required for the amount of computation required for the payment settlement task, the initial result of the terminal is generated;

[0135] If the comprehensive computing power of the terminal set to be selected is less than or equal to the computing power required for the computing amount of the payment settlement task, the second task allocation plan is called to generate an initial payment settlement result.

[0136] S5. Distribute the initial payment settlement result to the edge server to generate a secondary payment settlement result.

[0137] The steps to generate payment settlement results include:

[0138] Select an edge server;

[0139] Determine the computing power of the edge server;

[0140] The computing power of the edge server is used as the actual computing parameter;

[0141] Returning to selecting an edge server until all edge servers are selected;

[0142] Selecting an edge server according to the first task allocation plan or the second task allocation plan;

[0143] The selected edge server is added to the edge server set to be selected.

[0144] The steps to generate the secondary payment settlement result include:

[0145] Select a terminal;

[0146] Based on the data result encryption algorithm, select an edge server in the edge server set to be selected;

[0147] After calculating the initial payment settlement result output by the terminal and inputting it into the edge server, obtaining the secondary payment settlement result output by each edge server and the time consumed by each edge server to output the secondary payment settlement result;

[0148] Returning to selecting an edge server in the edge server set to be selected until all edge servers are selected;

[0149] Return to selecting a terminal until all terminals are selected;

[0150] Select the terminal that takes the shortest time to output the initial payment settlement result and the edge server that takes the shortest time to output the secondary payment settlement result, and combine the two to obtain the shortest time combination;

[0151] Adjust the computing architecture based on the terminal, edge server and cloud server according to the terminal and edge server included in the combination with the shortest time;

[0152] Generate collaborative computing algorithms based on data result encryption algorithms;

[0153] The collaborative computing algorithm is distributed to each device layer of the computing architecture.

[0154] Through the dynamic adjustment of the computing architecture of terminals, edge servers and cloud servers, the risk of target information being leaked due to targeted attacks can be greatly reduced, which greatly increases the privacy of information security.

[0155] S6. The secondary payment settlement result output by the edge server is calculated through the cloud server to obtain the final payment settlement result of the payment settlement task.

[0156] In summary, by receiving the network access information of the terminal, each terminal is included in the terminal and edge server computing architecture, and a cloud server and edge server computing framework is established between the cloud server and multiple edge servers to form a node-based cloud server and edge server computing framework. Then, based on the collaborative computing algorithm, the computing architecture of the terminal, edge server and cloud server is constructed to form a node-based collaborative end-edge cloud computing framework. Since the payment settlement task is allocated to each device layer of the computing architecture through the collaborative computing algorithm, each terminal can use its own computing power to realize the calculation of the initial result. Each terminal only transmits the calculation result to the edge server cluster, so the node-based collaborative end-edge cloud computing framework has a high degree of data confidentiality, and the calculation result of each terminal is not the final settlement. It is necessary for the edge server to perform the calculation under the distribution of the data result encryption algorithm to generate a secondary result, and the secondary result is uploaded again, and the cloud server with a higher security protection level can calculate to obtain the final result.

[0157] Example 2

[0158] Based on the first embodiment, this embodiment further provides a node-based collaborative end-edge-cloud management system, including a cloud server, an edge server, and a terminal;

[0159] A cloud server, used to execute the node-based collaborative end-edge cloud management method as described in any one of claims 1 to 9;

[0160] The edge servers are all in communication connection with the cloud servers;

[0161] The terminals are all connected to the edge server for communication.

[0162] This embodiment also provides a computer device, which is suitable for the node-based collaborative end-edge cloud management method, including a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute computer-executable instructions to implement the node-based collaborative end-edge cloud management method proposed in the above embodiment.

[0163] The computer device may be a terminal, and the computer device includes a processor, a memory, a communication interface, a display screen and an input device connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, an operator network, NFC (near field communication) or other technologies. The display screen of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device may be a touch layer covering the display screen, or a key, trackball or touchpad provided on the housing of the computer device, or an external keyboard, touchpad or mouse, etc.

[0164] This embodiment also provides a storage medium on which a computer program is stored. When the program is executed by a processor, the method for realizing node-based collaborative end-edge cloud management as proposed in the above embodiment is implemented.

[0165] The storage medium proposed in this embodiment and the data storage method proposed in the above embodiment belong to the same inventive concept. The technical details not fully described in this embodiment can be found in the above embodiment, and this embodiment has the same beneficial effects as the above embodiment.

[0166] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the present invention.

Claims

1. A node-based collaborative end-edge cloud management method, characterized by: The following steps are included: Receive the network access information of each terminal, and incorporate the received terminals into the edge server to form a computing framework of the terminal and the edge server; Establish a cloud server and edge server computing framework between the cloud server and multiple edge servers; Distribute collaborative computing algorithms to various device layers of the computing architecture of terminals, edge servers, and cloud servers; Then receive the payment settlement task and generate the initial payment settlement result; Distribute the initial payment settlement result to the edge server to generate a secondary payment settlement result; The secondary payment settlement result output by the edge server is calculated through the cloud server to obtain the final payment settlement result of the payment settlement task.

2. The node-based collaborative end-edge cloud management method according to claim 1, characterized in that: The steps of forming a computing framework of a terminal and an edge server include: Select the network access information of a terminal; Determine the IP address of the terminal; The IP address is stored in the edge server's memory; Call the computing power measurement program of the edge server; Determine the computing power performance of the terminal; Assign a computing power performance label to the IP address; Return to the selection of network access information of a terminal until the network access information of all terminals is selected.

3. The node-based collaborative end-edge cloud management method according to claim 2, characterized in that: The step of forming a computing framework of the terminal and the edge server also includes: Select an IP address of a terminal in the memory; Determine a traversal cycle; Based on the traversal cycle, a computing power measurement program is executed on the terminal of the IP address; Using the results of the computing power measurement program, determine the real-time computing power performance of the terminal; Assign a computing power performance label to the IP address; The IP address of one terminal in the memory is returned until all IP addresses are selected.

4. The node-based collaborative end-edge cloud management method according to claim 3, characterized in that: The steps of establishing a cloud server and edge server computing framework between a cloud server and multiple edge servers include: Select an edge server; An IP address is selected, and the IP address is stored in a memory of the selected edge server; Based on the computing power performance tag of the IP address, determine the computing power performance of the terminal corresponding to the IP address; Return to the step of selecting an IP address until all IP addresses have been selected; Returning to selecting an edge server until all edge servers are selected; Statistics on the basic computing power of cloud servers and edge server computing frameworks.

5. The node-based collaborative end-edge cloud management method according to claim 4, characterized in that: The steps of distributing the collaborative computing algorithm to each device layer of the computing architecture of the terminal, edge server and cloud server include: Calling the basic computing power of cloud servers and edge server computing frameworks; Split collaborative computing algorithms based on basic computing power; Allocate the split collaborative computing algorithms according to the computing power performance of each terminal; Based on the allocation scheme of the collaborative computing algorithm, a mapping relationship between the cloud server and each terminal, and a mapping relationship between the cloud server and each edge server are established.

6. The node-based collaborative end-edge cloud management method according to claim 5, characterized in that: The payment settlement receiving task specifically includes: Use computing power to coordinate the calculation algorithm and determine the amount of calculation for the payment settlement task; Based on the computational effort of the payment settlement task, determine whether the difficulty of the payment settlement task is consistent with the computing capability of the terminal; If the difficulty of the payment settlement task meets the computing capability of the terminal, a collaborative computing algorithm is used to construct a first task allocation plan; If the difficulty of the payment settlement task does not meet the computing capacity of the terminal, the computing task is adjusted to the edge server and the cloud server to generate a second task allocation plan; The step of generating the initial payment settlement result comprises: receiving a first task assignment plan; Select a terminal; Determining whether the terminal matches at least one computing task in the task allocation plan; If the terminal matches at least one computing task in the task allocation plan, the terminal is included in the terminal set to be selected, and the method of selecting a terminal is returned until all terminals are selected; If the terminal does not match any computing task in the task allocation plan, return to the step of selecting a terminal until all terminals are selected; Determine whether the comprehensive computing power of the terminal set to be selected is greater than the computing power required for the computing volume of the payment settlement task; If the combined computing power of the terminal set to be selected is greater than the computing power required for the amount of computation required for the payment settlement task, the initial result of the terminal is generated; If the comprehensive computing power of the terminal set to be selected is less than or equal to the computing power required for the computing amount of the payment settlement task, the second task allocation plan is called to generate an initial payment settlement result.

7. The node-based collaborative end-edge cloud management method according to claim 6, characterized in that: The steps to generate payment settlement results include: Select an edge server; Determine the computing power of the edge server; The computing power of the edge server is used as the actual computing parameter; Returning to selecting an edge server until all edge servers are selected; Selecting an edge server according to the first task allocation plan or the second task allocation plan; Adding the selected edge server into the set of edge servers to be selected; The step of generating a secondary payment settlement result comprises: Select a terminal; Based on the data result encryption algorithm, select an edge server in the edge server set to be selected; After calculating the initial payment settlement result output by the terminal and inputting it into the edge server, obtaining the secondary payment settlement result output by each edge server and the time consumed by each edge server to output the secondary payment settlement result; Returning to selecting an edge server in the edge server set to be selected until all edge servers are selected; Return to selecting a terminal until all terminals are selected; Select the terminal that takes the shortest time to output the initial payment settlement result and the edge server that takes the shortest time to output the secondary payment settlement result, and combine the two to obtain the shortest time combination; Adjust the computing architecture based on the terminal, edge server and cloud server according to the terminal and edge server included in the combination with the shortest time; Generate collaborative computing algorithms based on data result encryption algorithms; The collaborative computing algorithm is distributed to each device layer of the computing architecture.

8. A node-based collaborative end-edge cloud management system, based on the node-based collaborative end-edge cloud management method according to any one of claims 1 to 7, characterized in that: Includes cloud servers, edge servers, and terminals; A cloud server, used to execute the node-based collaborative end-edge cloud management method as described in any one of claims 1 to 9; The edge servers are all in communication connection with the cloud servers; The terminals are all connected to the edge server for communication.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the node-based collaborative end-edge cloud management method described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the node-based collaborative end-edge cloud management method described in any one of claims 1 to 7 are implemented.

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