An intelligent cluster networking method, device and electronic device

Abstract

An intelligent cluster networking method, device and electronic device, the method comprising the steps of: obtaining a resource bearing value; obtaining historical customer data of each mobile terminal; sorting each of the mobile terminals in descending order according to the historical customer data; calculating the total resource consumption value of the first N mobile terminals in the sorting; calculating the value of N corresponding to when the total resource consumption value is less than or equal to the resource bearing value; clustering and networking the first N mobile terminals. The intelligent cluster networking method, device and electronic device provided by the present application can select cluster networking objects according to the amount of historical customer data of each mobile terminal, ensuring the selection of appropriate cluster networking objects under limited resource conditions.

Description

Technical Field

[0001] The present invention belongs to the technical field of cluster networking, and particularly relates to an intelligent cluster networking method, device and electronic device. Background Art

[0002] In daily production and life, it is often necessary to perform cluster networking operations on multiple mobile terminals, that is, to perform networking control on multiple mobile terminals. However, resources are limited, and how to selectively perform cluster networking on multiple mobile terminals under limited resource conditions is a difficult problem. Summary of the Invention

[0003] To solve the above problems, the present invention provides an intelligent cluster networking method, and the method includes the steps of:

[0004] Obtain a resource carrying value;

[0005] Obtain the historical customer data of each mobile terminal;

[0006] Sort each of the mobile terminals in descending order according to the historical customer data;

[0007] Calculate the total resource consumption value of the first N mobile terminals in the sorting;

[0008] Calculate the value of N corresponding to when the total resource consumption value is less than or equal to the resource carrying value;

[0009] Cluster-network the first N mobile terminals.

[0010] Preferably, the obtaining of the resource carrying value includes the steps of:

[0011] Obtain a resource output value;

[0012] Obtain a resource consumption value according to historical data;

[0013] Calculate the resource carrying value according to the resource output value and the resource consumption value.

[0014] Preferably, the obtaining of the resource consumption value according to historical data includes the steps of:

[0015] Obtain all historical periods;

[0016] Obtain the corresponding total historical resource consumption value within each historical period;

[0017] Calculate the historical resource consumption value corresponding to each historical period according to the total historical resource consumption value and the historical period;

[0018] Calculate the average value of the highest value and the lowest value among all the historical resource consumption values;

[0019] Take the average value as the resource consumption value.

[0020] Preferably, obtaining the resource consumption value according to historical data includes the steps of:

[0021] Obtain all historical periods;

[0022] Obtain the corresponding total historical resource consumption value within each historical period;

[0023] Calculate the historical resource consumption value corresponding to each historical period according to the total historical resource consumption value and the historical period;

[0024] Calculate the average value of all the historical resource consumption values;

[0025] Take the average value as the resource consumption value.

[0026] Preferably, calculating the N value corresponding to when the total resource consumption value is less than or equal to the resource carrying capacity includes the steps of:

[0027] Calculate the first total resource consumption value of the first M mobile terminals in the sorting order;

[0028] Obtain the resource carrying capacity;

[0029] Judge whether the first total resource consumption value is less than or equal to the resource carrying capacity;

[0030] If so, take the M value as the N value;

[0031] If not, subtract 1 from M and return to the step of calculating the first total resource consumption value of the first M mobile terminals in the sorting order.

[0032] Preferably, clustering and networking the first N mobile terminals includes the steps of:

[0033] Obtain the descending order numbers of the first N mobile terminals;

[0034] Obtain the historical customer data of the first N mobile terminals;

[0035] Retain the mobile terminal numbers corresponding to the historical customer data higher than the preset value;

[0036] Cluster and network the remaining mobile terminals corresponding to the numbers.

[0037] Preferably, it further includes the steps of:

[0038] Obtain the weights corresponding to the first N mobile terminals;

[0039] Obtain the M mobile terminals with weights greater than or equal to the preset value;

[0040] Cluster network the M mobile terminals.

[0041] The present invention also provides an intelligent cluster networking device, which includes:

[0042] A bearing value acquisition module, configured to acquire a resource bearing value;

[0043] A data acquisition module, configured to acquire historical customer data of each mobile terminal;

[0044] A sorting module, configured to sort each of the mobile terminals in descending order according to the historical customer data;

[0045] A consumption value calculation module, configured to calculate the total resource consumption value of the top N mobile terminals in the sorting;

[0046] A numerical value calculation module, configured to calculate the corresponding N value when the total resource consumption value is less than or equal to the resource bearing value;

[0047] A cluster networking module, configured to cluster network the top N mobile terminals.

[0048] The present invention also provides an electronic device, which includes:

[0049] At least one processor; and,

[0050] A memory communicatively connected to the at least one processor; wherein,

[0051] The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute any of the foregoing intelligent cluster networking methods.

[0052] The present invention also provides a non-transitory computer-readable storage medium, which stores computer instructions for causing a computer to execute any of the foregoing intelligent cluster networking methods.

[0053] An intelligent cluster networking method, device and electronic device provided by the present application can select cluster networking objects according to the amount of historical customer data of each mobile terminal, and ensure appropriate selection of cluster networking objects under limited resource conditions. Description of the Drawings

[0054] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following briefly introduces the accompanying drawings required for the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other accompanying drawings can be obtained based on these drawings.

[0055] Figure 1 It is a schematic flowchart of an intelligent cluster networking method provided by an embodiment of the present invention;

[0056] Figure 2 It is a schematic structural diagram of an intelligent cluster networking device provided by an embodiment of the present invention;

[0057] Figure 3 It is a schematic structural diagram of an electronic device provided by an embodiment of the present invention;

[0058] Figure 4 It is a schematic structural diagram of a non - transitory computer - readable storage medium provided by an embodiment of the present invention. Detailed implementation manners

[0059] To make the objectives, technical solutions, and advantages of the present invention clearer and more understandable, the present invention will be further described in detail below in combination with specific implementation manners and with reference to the accompanying drawings. It should be understood that these descriptions are exemplary and are not intended to limit the scope of the present invention. In addition, in the following description, the descriptions of well - known structures and technologies are omitted to avoid unnecessarily confusing the concepts of the present invention.

[0060] As Figure 1 , in the embodiments of the present application, the present invention provides an intelligent cluster networking method, and the method includes the steps:

[0061] S1: Obtain the resource carrying value;

[0062] In the embodiments of the present application, obtaining the resource carrying value in step S1 includes the steps:

[0063] Obtain the resource output value;

[0064] Obtain the resource consumption value according to historical data;

[0065] Calculate the resource carrying value according to the resource output value and the resource consumption value.

[0066] In the embodiments of the present application, when obtaining the resource carrying value, specifically, first obtain the resource output value, such as the 4G / 5G output value of a network service provider, then obtain the resource consumption value according to historical data, and calculate the resource carrying value according to the resource output value and the resource consumption value.

[0067] In an embodiment of the present application, obtaining the resource consumption value according to historical data includes the steps of:

[0068] Obtain all historical periods;

[0069] Obtain the corresponding total historical resource consumption value within each of the historical periods;

[0070] Calculate the historical resource consumption value corresponding to each of the historical periods according to the total historical resource consumption value and the historical period;

[0071] Calculate the average value of the highest value and the lowest value among all the historical resource consumption values;

[0072] Take the average value as the resource consumption value.

[0073] In an embodiment of the present application, when obtaining the resource consumption value according to historical data, specifically, first obtain all historical periods, and obtain the corresponding total historical resource consumption value within each of the historical periods; then calculate the historical resource consumption value corresponding to each of the historical periods according to the total historical resource consumption value and the historical period, calculate the average value of the highest value and the lowest value among all the historical resource consumption values, and take the average value as the resource consumption value.

[0074] In an embodiment of the present application, obtaining the resource consumption value according to historical data includes the steps of:

[0075] Obtain all historical periods;

[0076] Obtain the corresponding total historical resource consumption value within each of the historical periods;

[0077] Calculate the historical resource consumption value corresponding to each of the historical periods according to the total historical resource consumption value and the historical period;

[0078] Calculate the average value of all the historical resource consumption values;

[0079] Take the average value as the resource consumption value.

[0080] In an embodiment of the present application, when obtaining the resource consumption value according to historical data, specifically, first obtain all historical periods, and obtain the corresponding total historical resource consumption value within each of the historical periods; then calculate the historical resource consumption value corresponding to each of the historical periods according to the total historical resource consumption value and the historical period, calculate the average value of all the historical resource consumption values, and then take the average value as the resource consumption value.

[0081] S2: Obtain the historical customer data of each mobile terminal;

[0082] S3: Sort each of the mobile terminals in descending order according to the historical customer data;

[0083] S4: Calculate the total resource consumption value of the top N mobile terminals in the sorting;

[0084] S5: Calculate the N value corresponding to when the total resource consumption value is less than or equal to the resource carrying value;

[0085] In the embodiment of the present application, calculating the N value corresponding to when the total resource consumption value is less than or equal to the resource carrying value in step S5 includes the steps of:

[0086] Calculate the first total resource consumption value of the top M mobile terminals in the sequential sorting;

[0087] Obtain the resource carrying value;

[0088] Judge whether the first total resource consumption value is less than or equal to the resource carrying value;

[0089] If so, take the M value as the N value;

[0090] If not, subtract 1 from M, and return to the step of calculating the first total resource consumption value of the top M mobile terminals in the sequential sorting.

[0091] In the embodiment of the present application, when calculating the N value corresponding to when the total resource consumption value is less than or equal to the resource carrying value, specifically, first calculate the first total resource consumption value of the top M mobile terminals in the sequential sorting and obtain the resource carrying value; then judge whether the first total resource consumption value is less than or equal to the resource carrying value; when the judgment is yes, then take the M value as the N value; when the judgment is no, then subtract 1 from M, and return to the step of calculating the first total resource consumption value of the top M mobile terminals in the sequential sorting.

[0092] S6: Cluster-network the top N mobile terminals.

[0093] In the embodiment of the present application, clustering and networking the top N mobile terminals in step S6 includes the steps of:

[0094] Obtain the descending order numbers of the top N mobile terminals;

[0095] Obtain the historical customer data of the top N mobile terminals;

[0096] Retain the mobile terminal numbers corresponding to the historical customer data higher than the preset value;

[0097] Cluster-network the remaining mobile terminals corresponding to the numbers.

[0098] In an embodiment of the present application, when clustering and networking the first N mobile terminals, specifically, first obtain the descending order numbers of the first N mobile terminals, and obtain the historical customer data of the first N mobile terminals; then retain the mobile terminal numbers corresponding to the historical customer data higher than the preset value, and cluster and network the remaining mobile terminals corresponding to the numbers.

[0099] In an embodiment of the present application, an intelligent clustering networking method provided by the present invention further includes the steps of:

[0100] Obtain the weights corresponding to the first N mobile terminals;

[0101] Obtain M mobile terminals whose weights are greater than or equal to the preset value;

[0102] Cluster and network the M mobile terminals.

[0103] In an embodiment of the present application, when clustering and networking the first N mobile terminals, it is also necessary to obtain the weights corresponding to the first N mobile terminals, obtain M mobile terminals whose weights are greater than or equal to the preset value, and then cluster and network the M mobile terminals.

[0104] Such as Figure 2 , in an embodiment of the present application, the present invention also provides an intelligent clustering networking device, and the device includes:

[0105] A bearing value acquisition module 10 for acquiring a resource bearing value;

[0106] A data acquisition module 20 for acquiring the historical customer data of each mobile terminal;

[0107] A sorting module 30 for sorting each mobile terminal in descending order according to the historical customer data;

[0108] A consumption value calculation module 40 for calculating the total resource consumption value of the first N mobile terminals in the sorting;

[0109] A numerical value calculation module 50 for calculating the N value corresponding to when the total resource consumption value is less than or equal to the resource bearing value;

[0110] A clustering networking module 60 for clustering and networking the first N mobile terminals.

[0111] In an embodiment of the present application, an intelligent clustering networking device provided by the present application can execute the above-mentioned intelligent clustering networking method.

[0112] See Figure 3 , an embodiment of the present disclosure also provides an electronic device 100, and the electronic device includes:

[0113] At least one processor; and,

[0114] A memory communicatively connected to the at least one processor; wherein,

[0115] The memory stores instructions executable by the at least one processor, and when the instructions are executed by the at least one processor, the at least one processor is enabled to execute the intelligent cluster networking method in the foregoing method embodiments.

[0116] Embodiments of the present disclosure further provide a non-transitory computer-readable storage medium storing computer instructions for causing a computer to execute the foregoing method embodiments.

[0117] Embodiments of the present disclosure further provide a computer program product including a computing program stored on a non-transitory computer-readable storage medium, the computer program including program instructions that, when executed by a computer, cause the computer to execute the intelligent cluster networking method in the foregoing method embodiments.

[0118] An intelligent cluster networking method, apparatus, and electronic device provided by the present application can select cluster networking objects according to the amount of historical customer data of each mobile terminal, ensuring appropriate selection of cluster networking objects under limited resource conditions.

[0119] Reference is made below to Figure 3 , which shows a schematic structural diagram of an electronic device 100 suitable for implementing embodiments of the present disclosure. The electronic device in embodiments of the present disclosure may include, but is not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Tablet Computers), PMPs (Portable Multimedia Players), in-vehicle terminals (such as in-vehicle navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 3 The electronic device shown is merely an example and should not impose any limitation on the functions and usage scope of embodiments of the present disclosure.

[0120] As Figure 3 shown, the electronic device 100 may include a processing device (such as a central processing unit, a graphics processing unit, etc.) 101, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 102 or a program loaded from a storage device 108 into a random access memory (RAM) 103. In the RAM 103, various programs and data required for the operation of the electronic device 100 are also stored. The processing device 101, the ROM 102, and the RAM 103 are connected to each other via a bus 104. An input / output (I / O) interface 105 is also connected to the bus 104.

[0121] Generally, the following devices can be connected to the I / O interface 105: an input device 106 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; an output device 107 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage device 108 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 109. The communication device 109 can allow the electronic device 100 to communicate with other devices wirelessly or wiredly to exchange data. Although the electronic device 100 with various devices is shown in the figure, it should be understood that it is not required to implement or have all the shown devices. More or fewer devices can be implemented or had alternatively.

[0122] In particular, according to an embodiment of the present disclosure, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present disclosure includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program contains program codes for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network through the communication device 109, or installed from the storage device 108, or installed from the ROM 102. When the computer program is executed by the processing device 101, the above functions defined in the method of the embodiment of the present disclosure are executed.

[0123] Next, refer to Figure 4 , which shows a structural schematic diagram of a computer-readable storage medium suitable for implementing the embodiment of the present disclosure. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, it can implement the intelligent cluster networking method as described in any one of the above.

[0124] It should be noted that the above-mentioned computer-readable medium in the present disclosure can be a computer-readable signal medium, a computer-readable storage medium, or any combination of the two. The computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above. More specific examples of the computer-readable storage medium can include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present disclosure, the computer-readable storage medium can be any tangible medium that contains or stores a program, which can be used by or in conjunction with an instruction execution system, apparatus, or device. In the present disclosure, the computer-readable signal medium can include a data signal propagated in a baseband or as part of a carrier wave, which carries computer-readable program code. Such a propagated data signal can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The computer-readable signal medium can also be any computer-readable medium other than the computer-readable storage medium, which can send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium can be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0125] The above-mentioned computer-readable medium can be included in the above-mentioned electronic device; or it can exist separately without being assembled into the electronic device.

[0126] The above-mentioned computer-readable medium carries one or more programs. When the above-mentioned one or more programs are executed by the electronic device, the electronic device is caused to: obtain at least two Internet protocol addresses; send a node evaluation request including the at least two Internet protocol addresses to a node evaluation device, where the node evaluation device selects an Internet protocol address from the at least two Internet protocol addresses and returns it; receive the Internet protocol address returned by the node evaluation device; where the obtained Internet protocol address indicates an edge node in a content delivery network.

[0127] Alternatively, the above computer-readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: receive a node evaluation request including at least two Internet Protocol addresses; select an Internet Protocol address from the at least two Internet Protocol addresses; return the selected Internet Protocol address; wherein the received Internet Protocol address indicates an edge node in a content delivery network.

[0128] Computer program code for carrying out operations of the present disclosure may be written in one or more programming languages or combinations thereof. The programming languages include object-oriented programming languages such as Java, Smalltalk, C++, and also include conventional procedural programming languages such as the "C" language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer, or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).

[0129] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architectures, functions, and operations of systems, methods, and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagram may represent a module, a program segment, or a part of code, which contains one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions noted in the blocks may occur in a different order than noted in the accompanying drawings. For example, two consecutive blocks shown may actually be executed substantially in parallel, or they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagram and / or flowchart, and combinations of blocks in the block diagram and / or flowchart, may be implemented by a dedicated hardware-based system for performing the specified functions or operations, or may be implemented by a combination of dedicated hardware and computer instructions.

[0130] The units involved in the embodiments of the present disclosure may be implemented in software or in hardware. In some cases, the name of the unit does not constitute a limitation on the unit itself. For example, the first acquisition unit may also be described as "the unit for acquiring at least two Internet Protocol addresses".

[0131] It should be understood that the various parts of the present disclosure may be implemented in hardware, software, firmware, or a combination thereof.

[0132] It should be noted that in this text, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements not only includes those elements, but also includes other elements not expressly listed, or further includes elements inherent to such process, method, article or device. Without further limitation, an element defined by the statement "comprising an..." does not exclude the existence of additional identical elements in the process, method, article or device comprising the said element. The above description is only the specific implementation manner of this application, enabling those skilled in the art to understand or implement this application. Various modifications to these embodiments will be obvious to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application will not be limited to these embodiments shown herein, but rather to the broadest scope consistent with the principles and novel features claimed herein.

[0133] In summary, the above description is only a preferred embodiment of the technical solution of the present invention, and is not used to limit the protection scope of the present invention. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. An intelligent cluster networking method, characterized in that, The method includes the steps of: Obtain the resource bearing value; Obtain the historical customer data of each mobile terminal; Sort each of the mobile terminals in descending order according to the historical customer data; Calculate the total resource consumption value of the top N mobile terminals in the sorting; Calculate the N value corresponding to when the total resource consumption value is less than or equal to the resource bearing value; Cluster-network the top N mobile terminals; The obtaining of the resource bearing value includes the steps of: obtaining the resource output value; Obtain the resource consumption value according to historical data; calculate the resource bearing value according to the resource output value and the resource consumption value; The obtaining of the resource consumption value according to historical data includes the steps of: obtaining all historical periods; obtaining the corresponding total historical resource consumption value in each historical period; calculating the historical resource consumption value corresponding to each historical period according to the total historical resource consumption value and the historical period; calculating the highest value and the lowest value among all the historical resource consumption values as the average value or calculating all the historical resource consumption values as the average value; taking the average value as the resource consumption value; The calculation method of the corresponding N value includes the following steps: Calculate the first total resource consumption value of the top M mobile terminals in the sequential sorting; Obtain the resource bearing value; Judge whether the first total resource consumption value is less than or equal to the resource bearing value; If so, take the M value as the N value; If not, subtract 1 from M, and return to the step of calculating the first total resource consumption value of the top M mobile terminals in the sequential sorting.

2. The intelligent cluster networking method according to claim 1, wherein The cluster-networking of the top N mobile terminals includes the steps of: Obtain the descending order numbers of the top N mobile terminals; Obtain the historical customer data of the top N mobile terminals; Retain the mobile terminal numbers corresponding to the historical customer data higher than the preset value; Cluster-network the mobile terminals corresponding to the remaining numbers.

3. The intelligent cluster networking method according to claim 1, characterized in that, It further includes the steps of: Obtain the weights corresponding to the top N mobile terminals; Obtain M mobile terminals with weights greater than or equal to the preset value; Cluster-network the M mobile terminals.

4. An intelligent cluster networking device, characterized in that, The device includes: A bearing value obtaining module for obtaining the resource bearing value; This module performs the following operations: obtain the resource output value; obtain the resource consumption value according to historical data, where the process of obtaining the resource bearing value includes: obtaining all historical periods, obtaining the corresponding total historical resource consumption value in each historical period, calculating the historical resource consumption value corresponding to each historical period according to the total historical resource consumption value and the historical period, calculating the highest value and the lowest value among all the historical resource consumption values as the average value or calculating all the historical resource consumption values as the average value; calculate the resource bearing value according to the resource output value and the resource consumption value; A data obtaining module for obtaining the historical customer data of each mobile terminal; A sorting module for sorting each of the mobile terminals in descending order according to the historical customer data; A consumption value calculation module for calculating the total resource consumption value of the top N mobile terminals in the sorting; A numerical value calculation module for calculating the N value corresponding to when the total resource consumption value is less than or equal to the resource bearing value; This module performs the following operations: calculating a first total resource consumption value of the top M of the mobile terminals in the calculation order sorting; obtaining the resource carrying value; determining whether the first total resource consumption value is less than or equal to the resource carrying value; if so, using the M value as the N value; if not, subtracting 1 from M and returning the first total resource consumption value of the top M of the mobile terminals in the calculation order sorting; A cluster networking module, configured to perform cluster networking on the top N of the mobile terminals.

5. An electronic device, characterized in that, The electronic device includes: At least one processor; and, A memory communicatively connected to the at least one processor; wherein, The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the intelligent cluster networking method described in any one of the preceding claims 1-3.

6. A non-transitory computer-readable storage medium, characterized in that, This non-transitory computer-readable storage medium stores computer instructions for causing the computer to execute the intelligent cluster networking method described in any one of the preceding claims 1-3.

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