CN112492045A

CN112492045A - Communication processing method combining block chain and big data and cloud side computing server

Info

Publication number: CN112492045A
Application number: CN202011450050.1A
Authority: CN
Inventors: 郁健兰
Original assignee: Individual
Current assignee: Individual
Priority date: 2020-05-29
Filing date: 2020-05-29
Publication date: 2021-03-12
Also published as: CN111654538A; CN112437163A; CN111654538B

Abstract

The application relates to a communication processing method combining a block chain and big data and a cloud side computing server. When the method is applied, the dynamic allocation of the processing resources can be realized by monitoring the processing resource occupancy rate of each communication device. After the target link is established between the associated communication device and the second target communication device, the second target communication device can process the information to be processed by using the idle processing resources in the associated communication device. In this way, the link barrier between the second target communication device and the associated communication device can be eliminated, thereby realizing the sharing of the processing resource to improve the inter-device cooperation efficiency and the communication efficiency of the target communication network.

Description

Communication processing method combining block chain and big data and cloud side computing server

Technical Field

The application relates to the technical field of communication applied to a block chain, in particular to a communication processing method combining the block chain and big data and a cloud side computing server.

Background

With the development of digital economy, the normal life of people and the normal production of enterprises can flexibly deal with various sudden influence factors. Under the influence of epidemic diseases and infectious diseases, digital applications such as intelligent logistics, online medical treatment, online education, pulse signal sequence meetings, teleworking and the like which depend on 5G and block chains realize 'separation without separation' and large-scale social cooperation, fully ensure normal production, life and learning order, and effectively support accurate and orderly repeated work and production. With the scale and complexity of digital networks, more and more intelligent devices interact and operate through data networks, and by means of the respective advantages of 5G and a block chain, the current communication processing method can meet the requirements of users on low delay, high transmission rate, high safety and the like. However, in practical application, the communication method still has the technical problem that the efficiency of cooperation between devices is not high.

Disclosure of Invention

The application provides a communication processing method combining a block chain and big data and a cloud side computing server, so as to solve the technical problems in the prior art.

The method for processing the communication by combining the block chain and the big data is applied to a cloud side computing server, the cloud side computing server is communicated with a plurality of communication devices which are communicated with each other to form a target communication network, and the method at least comprises the following steps:

periodically determining a current resource occupancy of each communication device from each communication device in the target communication network at a monitoring period step determined based on the number of communication devices in the target communication network;

when the current resource occupancy rate of each communication device is counted, if a plurality of target resource occupancy rates which are larger than the set occupancy rate are determined from all the counted current resource occupancy rates, sending request information which carries check characters and is used for acquiring communication priority to first target communication devices corresponding to each target resource occupancy rate, and acquiring current communication priority fed back by each first target communication device when the request information corresponding to the first target communication device is determined to pass verification according to the check characters corresponding to the first target communication device;

acquiring link state information of second target communication equipment corresponding to the maximum communication priority in the received current communication priorities, and determining identification information of associated communication equipment establishing an effective link with the second target communication equipment according to the link state information; determining the associated resource occupancy rate corresponding to the identification information from the counted current resource occupancy rates;

if the associated resource occupancy rate does not reach the set resource occupancy rate, mapping the difference between the associated resource occupancy rate and the resource occupancy rate of the set resource occupancy rate to the second target communication device to acquire the to-be-processed information separated by the second target communication device based on the difference between the resource occupancy rates;

determining a digital signature of the second target communication equipment from the information to be processed, and generating a script file for generating a target link according to the digital signature; and sending the script file to the associated communication equipment so that the associated communication equipment establishes a target link with the second target communication equipment by running the script file, and acquiring and processing the information to be processed based on the target link.

Preferably, the current communication priority is determined by:

acquiring an operation log record of the first target communication equipment and a record type corresponding to the operation log record; determining a priority class from a preset database according to the record type; generating a record list according to the running log record, wherein the record list comprises a communication duration, a message forwarding frequency and a log updating rate which are used for representing the first target communication equipment in a target time period; the target time interval is determined according to communication delay of the cloud side computing server;

generating a plurality of priority determination paths according to the communication duration, the message forwarding frequency, the log updating rate and the grouping identification of the record list; mapping each priority determination path in a preset priority map to obtain a weight value of each priority determination path in the priority map;

and respectively carrying out normalization processing on the communication duration, the message forwarding frequency and the log updating rate, and weighting by adopting corresponding weight values to obtain the current communication priority of the first target communication equipment.

Preferably, the method further comprises:

determining a target delay interval where the communication delay is located;

and modifying the target time interval according to the delay coefficient corresponding to the target delay interval.

Preferably, the obtaining of the link state information of the second target communication device corresponding to the maximum communication priority in the received current communication priorities includes:

receiving link pulse signals broadcast by the second target communication equipment, and determining amplitude parameters, peak-valley parameters and characteristic parameters of a plurality of target pulse signals reaching a preset amplitude level from a signal set corresponding to the second target communication equipment according to the link pulse signals; wherein the amplitude parameter comprises an amplitude difference value and an amplitude weighted sum;

determining a pulse frequency diagram of the second target communication device according to the amplitude parameter, the peak-valley parameter and the characteristic parameter of the plurality of target pulse signals, and determining a pulse signal sequence from the pulse frequency diagram, wherein the pulse signal sequence comprises at least two continuous target pulse signals;

sequentially extracting a plurality of signal attributes in the pulse signal sequence according to the time sequence, and sequencing the signal attributes according to the sequence of the feature identification degrees in the signal attributes from large to small to obtain a signal attribute sequence; acquiring an attribute tag of a target signal attribute in the signal attribute sequence; the target signal attribute is a signal attribute located at a set position in the signal attribute sequence, and the set position is determined according to the equipment model of the second target communication equipment;

and determining time period information corresponding to the attribute tag, and summarizing link parameters of the second target communication equipment in a target time period corresponding to the time period information to obtain the link state information.

Preferably, determining, according to the link status information, identification information of an associated communication device that has established a valid link with the second target communication device includes:

determining a target link parameter of which the current updating times reach the set times from the link state information;

extracting parameter characteristics of the target link parameters;

identifying the parameter characteristics based on a preset characteristic identification model to obtain a target characteristic value, and determining the identification information according to the target characteristic value; wherein the feature recognition model is used to identify device feature values of associated communication devices for which an active link exists with the second target communication device.

Preferably, mapping the difference between the associated resource occupancy rate and the resource occupancy rate set for the resource occupancy rate to the second target communication device to obtain the to-be-processed information separated by the second target communication device based on the difference between the resource occupancy rates includes:

generating a resource allocation track corresponding to the resource allocation information of the second target communication equipment according to the equipment communication parameters of the second target communication equipment, and extracting an operation state track corresponding to the operation state information of the second target communication equipment from the equipment operation parameters of the second target communication equipment; the resource distribution track and the running state track respectively comprise a plurality of track nodes with different centrality degrees;

acquiring a node data set of the resource allocation information at any track node of the resource allocation track, and determining a track node with the minimum centrality in the running state track as a reference track node; mapping the node data set to a data container corresponding to the reference track node according to the contact ratio of the resource distribution track and the running state track, and obtaining a target data set in the data container corresponding to the reference track node; generating an information mapping list between the resource allocation information and the operating state information based on the node data set and the target data set;

taking the data characteristics of the target data set as reference characteristics to obtain current characteristics of resource occupation records for representing the second target communication equipment in the reference track nodes, mapping the current characteristics into the track nodes of the node data set according to the information mapping list, and obtaining mapping characteristics corresponding to the current characteristics in the track nodes of the node data set;

determining a target vector value corresponding to a confidence coefficient of the difference between the resource occupancy rates from the mapping characteristics, replacing the target vector value with the difference between the resource occupancy rates, correcting a feature value array corresponding to the mapping characteristics to obtain a target array, determining a current magnitude value, corresponding to the difference between the resource occupancy rates, for pointing to a storage path of the information to be processed from the target array, and acquiring the information to be processed, which is searched by the second target communication device based on the current magnitude value.

Preferably, generating a script file for generating a target link according to the digital signature includes:

determining target signatures of the associated communication devices determined based on the digital signatures, and counting, for a current signature in the target signatures, a first signature loading record of the current signature in a target duration and a second signature loading record of each target signature in the target duration;

determining similarity information between the digital signature and the current signature according to the first signature loading record and the second signature loading record; listing the similarity information in a file coding mode to obtain a coding sequence corresponding to the similarity information;

calculating the matching rate between the coding sequence and the set coding sequence of the associated communication equipment;

when the matching rate is smaller than a set value, correcting the coding sequence according to the first signature loading record until the matching rate between the corrected coding sequence and the set coding sequence is larger than or equal to the set value; and when the matching rate is greater than or equal to the set value, generating the script file according to the coding sequence.

Providing a cloud-edge computing server in communication with a plurality of communication devices communicating with each other to form a target communication network, the cloud-edge computing server being configured to:

Provided is a cloud edge computing server, including:

a processor, and

a memory and a network interface connected with the processor;

the network interface is connected with a nonvolatile memory in the cloud side computing server;

when the processor is operated, the computer program is called from the nonvolatile memory through the network interface, and the computer program is operated through the memory so as to execute the method.

The readable storage medium is applied to a computer, and is burnt with a computer program, and the computer program realizes the method when running in the memory of the cloud side computing server.

When the method for processing the communication of the block chain and the big data and the cloud side computing server are combined, dynamic allocation of processing resources can be achieved by monitoring the occupancy rate of the processing resources of each communication device, and after a target link is established between a relevant communication device and a second target communication device, the second target communication device can process information to be processed by using idle processing resources in the relevant communication device. In this way, the link barrier between the second target communication device and the associated communication device can be eliminated, thereby realizing the sharing of the processing resource to improve the inter-device cooperation efficiency and the communication efficiency of the target communication network.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application.

Fig. 1 is a schematic diagram of a communication architecture of a communication processing system combining a block chain and big data.

Fig. 2 is a flowchart of a communication processing method combining a block chain and big data.

Fig. 3 is a schematic diagram illustrating the sub-steps of step S22 in fig. 2.

Fig. 4 is a schematic diagram illustrating the sub-steps of step S23 in fig. 2.

Fig. 5 is a schematic diagram illustrating the sub-steps of step S24 in fig. 2.

Fig. 6 is a schematic diagram illustrating the sub-steps of step S25 in fig. 2.

Fig. 7 is a functional block diagram of a communication processing device incorporating blockchains and big data.

Detailed Description

Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in this application and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.

It is to be understood that although the terms first, second, third, etc. may be used herein to describe various information, such information should not be limited to these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of the present application. The word "if" as used herein may be interpreted as "at … …" or "when … …" or "in response to a determination", depending on the context.

After researching and analyzing digital communication technologies in multiple fields, the inventor finds that in some multi-terminal interactive digital communication networks, data interaction (for example, data transmission and reception) is mostly performed between communication devices, and processing (for example, data analysis, data mining, data extraction, and the like) of data is still performed on the basis of the communication devices, so that coordination of processing resources of the communication devices is not realized. In some scenarios, if the processing resource of one communication device is in an idle state and the processing resource of another communication device is in an overload state, it is difficult to share the idle processing resource due to security barriers between the communication devices.

Based on this, the embodiment of the present invention provides a communication processing method and a cloud-side computing server that combine a block chain and big data, which can implement dynamic allocation of processing resources by monitoring the processing resource occupancy rate of each communication device, thereby implementing cooperation of multiple communication devices on the processing resources and improving communication processing efficiency.

For the convenience of describing the above method, an application scenario of the above method will be described first. As shown in fig. 1, a communication architecture of a communication processing system 100 combining a blockchain and big data is schematically illustrated, the communication processing system 100 may include a cloud edge computing server 200 and a plurality of communication devices 300 communicating with the cloud edge computing server 200, and the plurality of communication devices 300 also communicate with each other.

The communication device 300 is not limited to a mobile phone, a tablet computer, a mainframe computer, a base station, a switch, a router, etc. The cloud edge computing server 200 can monitor the occupation state of the processing resource of each communication device 300 by obtaining the authorization of each communication device 300 to realize the cooperation among the plurality of communication devices 300, where the processing resource may be understood as a memory allocation state, a channel link allocation state, a time slice resource allocation state, and the like when the communication device 300 performs communication data processing.

On the basis of the above, reference may be made to fig. 2, which is a flowchart of a communication processing method combining a block chain and big data, where the method may be applied to the cloud edge computing server 200 in fig. 1, and the method may specifically include the contents described in the following steps S21 to S25.

Step S21, periodically determining a current resource occupancy of each communication device from each communication device in the target communication network at monitoring period steps determined based on the number of communication devices in the target communication network.

In the disclosure, the larger the number of the communication devices in the target communication network is, the shorter the monitoring period step is, the faster the frequency of determining the current resource occupancy rate from each communication device by the cloud side computing server is, so that the monitoring accuracy and the real-time performance of the current resource occupancy rate can be improved.

Step S22, when counting the current resource occupancy of each communication device, if a plurality of target resource occupancy greater than the set occupancy are determined from all the current resource occupancy counted, sending request information carrying check characters for obtaining a communication priority to the first target communication device corresponding to each target resource occupancy, and obtaining a current communication priority fed back by each first target communication device when determining that the request information corresponding to the first target communication device passes the verification according to the check characters corresponding to the first target communication device.

In this disclosure, the cloud edge computing server 200 can perform security check with the first target communication device when acquiring the current communication priority of the first target communication device, so that it can be ensured that the first target communication device sends the current communication priority to an object trusted by the first target communication device through check computation.

Step S23, obtaining link state information of the second target communication device corresponding to the maximum communication priority in the received current communication priorities, and determining, according to the link state information, identification information of an associated communication device with which an effective link has been established with the second target communication device; and determining the associated resource occupancy rate corresponding to the identification information from the counted current resource occupancy rates.

It will be appreciated that by determining the link state information of the second target communication device corresponding to the maximum communication priority, the associated communication device with which the second target communication device has established a valid link can be determined based on the link state information. In this way, communication devices with invalid links can be filtered out, thereby ensuring reliability in subsequent allocations of processing resources.

Step S24, if the associated resource occupancy does not reach the set resource occupancy, mapping the difference between the associated resource occupancy and the resource occupancy of the set resource occupancy into the second target communication device, so as to obtain the to-be-processed information separated by the second target communication device based on the difference between the resource occupancies.

When the associated resource occupancy rate indicates that the associated communication device corresponding to the associated resource occupancy rate does not have resource overload, the to-be-processed information which cannot be processed by the second target communication device due to resource overload can be obtained based on the resource occupancy rate difference mapping, so that the demand information is provided for subsequent resource sharing.

Step S25, determining a digital signature of the second target communication device from the information to be processed, and generating a script file for generating a target link according to the digital signature; and sending the script file to the associated communication equipment so that the associated communication equipment establishes a target link with the second target communication equipment by running the script file, and acquiring and processing the information to be processed based on the target link.

In this embodiment, after the target link is established between the associated communication device and the second target communication device, the second target communication device can process the information to be processed by using the idle processing resource in the associated communication device, so that the link barrier between the second target communication device and the associated communication device can be eliminated, thereby implementing the sharing of the processing resource and improving the communication efficiency of the target communication network.

In practical implementation, the inventor finds that the determination of the communication priority of the communication device needs to consider various factors, such as communication duration, message forwarding frequency, log update rate, and the like, so that the communication priority of the communication device can be accurately and reliably determined. To achieve the above object, referring to fig. 3 collectively, in step S22, the cloud edge computing server may acquire the current communication priority of the first target communication device through the following contents described in steps S221 to S223.

Step S221, obtaining an operation log record of the first target communication device and a record type corresponding to the operation log record; determining a priority class from a preset database according to the record type; generating a record list according to the running log record, wherein the record list comprises a communication duration, a message forwarding frequency and a log updating rate which are used for representing the first target communication equipment in a target time period; and determining the target time period according to the communication delay of the cloud side computing server.

Step S222, generating a plurality of priority determination paths according to the communication duration, the message forwarding frequency, the log updating rate and the grouping identification of the record list; and mapping each priority determination path in a preset priority map to obtain a weight value of each priority determination path in the priority map.

Step S223 is to perform normalization processing on the communication duration, the packet forwarding frequency, and the log update rate, and perform weighting by using corresponding weight values, so as to obtain the current communication priority of the first target communication device.

It can be understood that through the above steps S221 to S223, the running log record of the first target communication device can be analyzed in multiple dimensions, so as to determine that the current communication priority is calculated based on three factors, i.e., the communication duration, the message forwarding frequency, and the log update rate. In this way, the current communication priority of the first target communication device is accurately and reliably determined.

In a possible embodiment, in order to further ensure timeliness of the current communication priority, the target time interval needs to be adjusted according to the communication delay of the cloud-side computing server, and for this purpose, on the basis of the above steps S221 to S223, the method may further include: and determining a target delay interval where the communication delay is positioned, and modifying the target time interval according to a delay coefficient corresponding to the target delay interval.

In the present disclosure, if the delay factor is increased, the target time interval is reduced, so that flexible adjustment of the target time interval can be achieved, thereby ensuring timeliness of the current communication priority.

The inventor finds that, in the specific implementation process, when determining the link state information of the second target communication device, the real-time performance and the feature recognition degree of the link state information need to be considered, so as to avoid that the accuracy of the link state information is affected by taking premature link state information or link state information with low feature recognition degree into account. To achieve the above object, please refer to fig. 4 in combination, in step S23, the link state information of the second target communication device corresponding to the maximum communication priority in the received current communication priorities may specifically include the contents described in the following steps S231 to S235.

Step S231, receiving a link pulse signal broadcast by the second target communication device, and determining an amplitude parameter, a peak-valley parameter, and a characteristic parameter of a plurality of target pulse signals reaching a preset amplitude level from a signal set corresponding to the second target communication device according to the link pulse signal; wherein the amplitude parameter comprises an amplitude difference value and an amplitude weighted sum.

Step S232, determining a pulse frequency diagram of the second target communication device according to the amplitude parameter, the peak-valley parameter and the characteristic parameter of the plurality of target pulse signals, and determining a pulse signal sequence from the pulse frequency diagram, where the pulse signal sequence includes at least two continuous target pulse signals.

Step S233, a plurality of signal attributes are sequentially extracted from the pulse signal sequence according to the time sequence, and are sequenced according to the sequence of the feature identification degrees in the signal attributes from large to small, so as to obtain a signal attribute sequence; acquiring an attribute tag of a target signal attribute in the signal attribute sequence; the target signal attribute is a signal attribute located at a set position in the signal attribute sequence, and the set position is determined according to the equipment model of the second target communication equipment.

Step S234, determining the time period information corresponding to the attribute tag, and summarizing the link parameters of the second target communication device in the target time period corresponding to the time period information to obtain the link status information.

When the method described in the above steps S231 to S234 is applied, the real-time property and the feature recognition degree of the link state information can be taken into consideration, thereby ensuring the accuracy of the link state information.

Further, on the basis of the above, the determining, according to the link status information, the identification information of the associated communication device that has established the effective link with the second target communication device, which is described in step S23, may specifically include the following sub-steps: determining a target link parameter with the current updating times reaching a set time from the link state information, extracting parameter characteristics of the target link parameter, identifying the parameter characteristics based on a preset characteristic identification model to obtain a target characteristic value, and determining the identification information according to the target characteristic value; wherein the feature recognition model is used to identify device feature values of associated communication devices for which an active link exists with the second target communication device. Thus, the identification information of the associated communication device which has established the effective link with the second target communication device can be accurately determined based on the current updating times.

In order to accurately determine the information to be processed, please refer to fig. 5, in step S24, the difference between the associated resource occupancy and the resource occupancy of the set resource occupancy is mapped to the second target communication device, so as to obtain the information to be processed separated by the second target communication device based on the difference between the resource occupancies, which may specifically include the following contents described in steps S241 to S244.

Step S241, generating a resource allocation trajectory corresponding to the resource allocation information of the second target communication device according to the device communication parameter of the second target communication device, and extracting an operation state trajectory corresponding to the operation state information of the second target communication device from the device operation parameter of the second target communication device; the resource allocation track and the operation state track respectively comprise a plurality of track nodes with different centralities.

Step S242, obtaining a node data set of the resource allocation information at any one track node of the resource allocation track, and determining a track node having the minimum centrality in the operation state track as a reference track node; mapping the node data set to a data container corresponding to the reference track node according to the contact ratio of the resource distribution track and the running state track, and obtaining a target data set in the data container corresponding to the reference track node; and generating an information mapping list between the resource allocation information and the running state information based on the node data set and the target data set.

Step S243, using the data characteristics of the target data set as reference characteristics to obtain current characteristics of resource occupation records for characterizing the second target communication device in the reference track node, mapping the current characteristics to the track node where the node data set is located according to the information mapping list, and obtaining mapping characteristics corresponding to the current characteristics in the track node where the node data set is located.

Step S244, determining a target vector value corresponding to the confidence coefficient of the difference between the resource occupancy rates from the mapping feature, replacing the target vector value with the difference between the resource occupancy rates, modifying the feature value array corresponding to the mapping feature to obtain a target array, determining a current forward magnitude value for pointing to the storage path of the to-be-processed information corresponding to the difference between the resource occupancy rates from the target array, and acquiring the to-be-processed information searched by the second target communication device based on the current forward magnitude value.

In specific implementation, by performing the above steps S241 to S244, the resource allocation information and the operation status information of the second target communication device can be analyzed, so as to obtain a resource allocation trajectory and an operation status trajectory corresponding to the resource allocation information and the operation status information, and then the difference between the resource occupancy rates is mapped based on the resource allocation trajectory and the operation status trajectory to obtain a current magnitude value pointing to the storage path of the to-be-processed information, so that the second target communication device can obtain the to-be-processed information found based on the current magnitude value. Therefore, the information to be processed can be accurately determined.

In practical applications, in order to ensure that the associated communication device can run the script file smoothly and avoid delay or error in establishing the target link due to incompatibility between the script file and the associated communication device, please refer to fig. 6, in step S25, the script file for generating the target link is generated according to the digital signature, which may specifically include the contents described in the following steps S251 to S254.

Step S251, determining the target signatures of the associated communication devices determined based on the digital signature, and counting, for a current signature in the target signatures, a first signature loading record of the current signature in a target duration and a second signature loading record of each target signature in the target duration.

Step S252, determining similarity information between the digital signature and the current signature according to the first signature loading record and the second signature loading record; and listing the similarity information in a file coding mode to obtain a coding sequence corresponding to the similarity information.

And step S253, calculating the matching rate between the coding sequence and the set coding sequence of the associated communication equipment.

Step S254, when the matching rate is smaller than a set value, the coding sequence is corrected according to the first signature loading record until the matching rate between the corrected coding sequence and the set coding sequence is larger than or equal to the set value; and when the matching rate is greater than or equal to the set value, generating the script file according to the coding sequence.

When the contents described in the above steps S251 to S254 are applied, the compatibility between the second target communication device and the associated communication device can be adjusted by the digital signatures of the second target communication device and the associated communication device, and the generated script file is ensured to be compatible with the associated communication device, so that the associated communication device can be ensured to smoothly run the script file, and delay or error in establishing the target link can be avoided.

In an alternative embodiment, to ensure that the processing resources of the communication device are not maliciously occupied, the method further includes the following step S26 on the basis of the above-mentioned steps S21-S25.

Step S26, when first prompt information sent by the second target communication device and used for representing that the processing of the to-be-processed information is completed is received, send second prompt information to the associated communication device so that the associated communication device disconnects the target link based on the second prompt information.

It can be understood that through the content described in step S26, the associated communication device can resume closed management of its own processing resources after completing information processing based on the shared processing resources, thereby avoiding malicious occupation of the processing resources of the associated communication device by a third party, and also ensuring the information processing efficiency and reliability of the associated communication device.

In another alternative embodiment, in order to accurately determine the current resource occupancy of each communication device, the step S21 of periodically determining the current resource occupancy of each communication device from each communication device in the target communication network may specifically include the following steps S211 to S214.

Step S211, collecting the resource change curve of each communication device, and extracting the resource change critical point from the resource change curve.

Step S212, determining whether a slope difference between a current curve slope of the resource change curve and a previous curve slope of the resource change curve exceeds a set threshold.

Step S213, if yes, determining the resource change temporary point extracted from the resource change curve as the current resource node of the resource change curve; otherwise, weighting the resource change temporary point extracted from the resource change curve and the curve midpoint of the previous curve segment to obtain the current resource node of the resource change curve.

Step S214, determining the resource occupancy rate corresponding to the current resource node as the current resource occupancy rate corresponding to the communication device.

Based on the above steps S211 to S214, the current resource occupancy rate of each communication device can be accurately determined.

On the basis of the above, please refer to fig. 7, a functional block diagram of a communication processing apparatus 700 that combines a block chain and big data is provided, and the detailed description about the communication processing apparatus is as follows.

A communication processing apparatus combining a blockchain and big data, applied to a cloud edge computing server, the cloud edge computing server communicating with a plurality of communication devices communicating with each other to form a target communication network, the apparatus at least comprising:

a resource determination module 710 for periodically determining a current resource occupancy of each communication device from each communication device in the target communication network at a monitoring period step determined based on the number of communication devices in the target communication network;

a priority obtaining module 720, configured to, when counting the current resource occupancy of each communication device, if multiple target resource occupancies greater than a set occupancy are determined from all the current resource occupancies counted, send request information carrying check characters for obtaining a communication priority to a first target communication device corresponding to each target resource occupancy, and obtain a current communication priority fed back by each first target communication device when determining that the request information corresponding to the first target communication device passes verification according to the check characters corresponding to the first target communication device;

an identifier determining module 730, configured to obtain link state information of a second target communication device corresponding to a maximum communication priority in the received current communication priorities, and determine, according to the link state information, identifier information of an associated communication device that has established an effective link with the second target communication device; determining the associated resource occupancy rate corresponding to the identification information from the counted current resource occupancy rates;

an information separating module 740, configured to map, if the associated resource occupancy does not reach the set resource occupancy, a difference between the associated resource occupancy and the resource occupancy of the set resource occupancy into the second target communication device, so as to obtain to-be-processed information separated by the second target communication device based on the difference between the resource occupancies;

the resource coordination module 750 is configured to determine a digital signature of the second target communication device from the information to be processed, and generate a script file for generating a target link according to the digital signature; sending the script file to the associated communication equipment so that the associated communication equipment establishes a target link with the second target communication equipment by running the script file, and acquiring and processing the information to be processed based on the target link;

a link closing module 760, configured to, when receiving first prompt information sent by the second target communication device and used to represent that processing of the to-be-processed information is completed, send second prompt information to the associated communication device, so that the associated communication device disconnects the target link based on the second prompt information.

Optionally, the resource determining module 710 is specifically configured to:

acquiring a resource change curve of each communication device, and extracting a resource change critical point from the resource change curve;

judging whether the slope difference between the slope of the current curve segment in the resource change curve and the slope of the curve segment of the previous curve segment in the resource change curve exceeds a set threshold value or not;

if so, determining the resource change critical point extracted from the resource change curve as the current resource node of the resource change curve; otherwise, weighting the resource change temporary point extracted from the resource change curve and the curve midpoint of the previous curve segment to obtain the current resource node of the resource change curve;

and determining the resource occupancy rate corresponding to the current resource node as the current resource occupancy rate corresponding to the communication equipment.

Optionally, the priority obtaining module 720 is specifically configured to:

Optionally, the resource determining module 710 is further configured to:

determining a target delay interval where the communication delay is located;

Optionally, the identifier determining module 730 is specifically configured to:

extracting parameter characteristics of the target link parameters;

Optionally, the information separation module 740 is specifically configured to:

Optionally, the resource coordination module 750 is specifically configured to:

For the detailed description of the above functional modules, please refer to the description of the above steps, which will not be further described herein.

On the basis, a communication process combining a block chain and big data is also provided, which is described in detail as follows.

A communication processing system combining a block chain and big data comprises a cloud side computing server and a plurality of communication devices, wherein the cloud side computing server and the communication devices are in communication connection with each other, and the communication devices form a target communication network;

the cloud side computing server is used for:

when the current resource occupancy rate of each communication device is counted, if a plurality of target resource occupancy rates which are larger than the set occupancy rate are determined from all the counted current resource occupancy rates, sending request information carrying check characters and used for acquiring communication priority to first target communication devices corresponding to each target resource occupancy rate; obtaining the current communication priority fed back by each first target communication device when determining that the request information corresponding to the first target communication device passes the verification according to the check character corresponding to the first target communication device;

determining a digital signature of the second target communication equipment from the information to be processed, and generating a script file for generating a target link according to the digital signature; sending the script file to the associated communication device;

the associated communication device is configured to:

establishing a target link between the script file and the second target communication equipment by running the script file, and acquiring and processing the information to be processed based on the target link;

the cloud side computing server is used for:

when first prompt information used for representing that the processing of the information to be processed is completed and sent by the second target communication equipment is received, second prompt information is sent to the associated communication equipment;

the associated communication device is configured to:

and disconnecting the target link based on the second prompt message.

Optionally, the cloud edge computing server is specifically configured to:

Optionally, the cloud edge computing server is further configured to:

determining a target delay interval where the communication delay is located;

Optionally, the cloud edge computing server is specifically configured to:

extracting parameter characteristics of the target link parameters;

Optionally, the cloud edge computing server is specifically configured to:

On the basis, the present disclosure also discloses a cloud edge computing server, including: the system comprises a processor, a memory and a network interface, wherein the memory and the network interface are connected with the processor; the network interface is connected with a nonvolatile memory in the cloud side computing server; when the processor is operated, the computer program is called from the nonvolatile memory through the network interface, and the computer program is operated through the memory so as to execute the method.

Similarly, the disclosure also discloses a readable storage medium applied to a computer, the readable storage medium is burned with a computer program, and the computer program realizes the method when running in the memory of the cloud-side computing server.

It will be understood that the present application is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the application is limited only by the appended claims.

Claims

1. A communication processing method combining a block chain and big data is applied to a cloud edge computing server, the cloud edge computing server is communicated with a plurality of communication devices which are communicated with each other to form a target communication network, and the method at least comprises the following steps:

wherein:

the more the number of the communication devices in the target communication network is, the shorter the step length of the monitoring period is, and the faster the frequency of determining the current resource occupancy rate from each communication device by the cloud side computing server is;

2. The method of claim 1, the current communication priority being determined by:

3. The method of claim 2, further comprising:

determining a target delay interval where the communication delay is located;

4. The method of claim 1, obtaining link state information of a second target communication device corresponding to a maximum communication priority among the received current communication priorities, comprising:

5. The method of claim 4, determining identification information of an associated communication device with which a valid link has been established with the second target communication device based on the link state information, comprising:

extracting parameter characteristics of the target link parameters;

6. The method of any of claims 1-5, mapping the difference between the associated resource occupancy and the resource occupancy for the set resource occupancy into the second target communication device to obtain the to-be-processed information separated by the second target communication device based on the difference between the resource occupancies, comprising:

7. The method of claim 1, generating a script file for generating a target link from the digital signature, comprising:

8. A cloud-edge computing server, comprising:

a processor, and

a memory and a network interface connected with the processor;

the processor, when running, retrieves a computer program from the non-volatile memory via the network interface and runs the computer program via the memory to perform the method of any of claims 1-7.

9. A readable storage medium applied to a computer, the readable storage medium being burned with a computer program, and the computer program implementing the method according to any one of claims 1 to 7 when the computer program runs in a memory of a cloud-side computing server.