CN117241259B - Mobile Internet-based app service management platform and data processing method thereof - Google Patents
Mobile Internet-based app service management platform and data processing method thereof Download PDFInfo
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Abstract
The invention relates to the technical field of mobile internet service management, in particular to an app service management platform based on the mobile internet and a data processing method thereof. The method comprises the following steps: program version identification processing is carried out on the app program data, program release processing is carried out, and an app program service management platform is established, so that the app program service management platform is generated; carrying out on-shelf processing and download initialization processing on the app release program data by an app program service management platform to obtain app program initialization data; carrying out concurrent quantity simulation processing on the content distribution network node to obtain concurrent data of the content distribution network node; and carrying out concurrency quantity judgment processing on the concurrency data of the content distribution network node and carrying out data distribution processing on the initialization data of the app program to obtain concurrency security operation report data. The invention realizes a more efficient app management platform through the service management of app program data.
Description
Technical Field
The invention relates to the technical field of mobile internet service management, in particular to an app service management platform based on the mobile internet and a data processing method thereof.
Background
With the popularization of smart phones, mobile internet-based app service management platforms began to appear, primarily for games and entertainment, and these applications were usually developed by independent developers or small teams and distributed through various application stores, and with the continuous evolution of technology and market, the functions and user experience of the platforms are also continuously improved, providing more convenience and value for enterprises and users. However, the conventional app service management platform has problems of slow download rate, long response time, and the like.
Disclosure of Invention
Based on this, it is necessary to provide an app service management platform based on the mobile internet to solve at least one of the above technical problems.
To achieve the above object, a mobile internet-based app service management platform, the method includes the steps of:
step S1: acquiring app program data; program version identification processing is carried out on the app program data to obtain app version program data; program release processing is carried out on the app version program data, and app release program data is generated;
step S2: acquiring app program service demand data; establishing an app program service management platform according to app program service demand data to generate the app program service management platform;
Step S3: carrying out app program service management platform on-shelf processing on app release program data to obtain app on-shelf program data;
step S4: acquiring a content distribution network node of the mobile internet; carrying out downloading initialization processing on the app on-shelf program data to obtain app program initialization data; carrying out concurrent quantity simulation processing on the content distribution network node to obtain concurrent data of the content distribution network node; performing concurrency judgment processing on the concurrency data of the content distribution network node according to a preset concurrency threshold of the content distribution network node, generating concurrency processing operation data and conventional processing operation data, and feeding the conventional processing operation data back to the terminal;
step S5: when the concurrent processing job data is determined to be executed, the data distribution processing is carried out on the app program initialization data, and the concurrent security job report data is obtained.
According to the invention, the information and the functions of the current app can be known and mastered by acquiring the app program data; by identifying the version of the app program, which version is currently used can be determined, subsequent program release and management work is facilitated, program release processing is carried out on app version program data, app release program data which can be downloaded and used by a user can be generated, and the user can be ensured to obtain the latest version; by acquiring the service demand data of the app program, the demand and the desire of the user can be clearly known, the subsequent service management and optimization work can be facilitated, a special management platform is established according to the app program service demand data, various services of the app can be effectively managed and provided, the demand of the user is met, and good user experience is provided; the app release program data is put on the app program service management platform to manage the app release program data, and meanwhile, downloading and installation can be provided for users, so that user groups and influence of the apps are enlarged; the method has the advantages that the distributed characteristics of the content distribution network node of the mobile internet are obtained, the downloading speed and the data transmission efficiency of the app can be improved, the app on-shelf program data are subjected to downloading initialization processing, normal app use after user downloading is ensured, optimized user experience is provided, the concurrency processing capability of the network node can be evaluated through concurrency quantity simulation and judgment processing on the content distribution network node, normal app downloading and service provision can be ensured during high concurrency, concurrency processing job data and normal processing job data are generated according to the concurrency quantity judgment result, app downloading and service requests are distributed to proper processing jobs, and the overall processing efficiency and performance are improved; and carrying out data distribution processing on the app program initialization data, ensuring the safety and stability of concurrent processing operation, avoiding data loss or damage, generating concurrent safety operation report data by analyzing and arranging the data distribution processing result, evaluating the safety and effect of the whole concurrent processing process, and providing reference for subsequent improvement and optimization. Therefore, the app program service management platform is an optimization process for the traditional app program service management platform, so that the problems of low downloading rate, long response time and the like of the traditional app program service management platform are solved, the app program downloading rate is improved, and the response time is improved.
Preferably, step S1 comprises the steps of:
step S11: acquiring app program data;
step S12: classifying the app program data by using a K-Means clustering algorithm to generate app program classification data;
step S13: performing data standardization processing on the app program classification data by utilizing Z-Score normalization to generate app program standardization data;
step S14: program version identification processing is carried out on the app program standardized data to obtain app initial version program data;
step S15: performing defect repair processing on the app initial version program data to generate app version optimization program data;
step S16: generating an app encryption key based on a DES symmetric encryption algorithm;
step S17: encrypting the app version optimizer data by using an app encryption key to generate encrypted app version optimizer data;
step S18: and performing program release processing on the encrypted app version optimizing program data to generate app release program data.
According to the method, the original application program files including source codes, resource files and the like can be obtained by obtaining the app program data, so that a foundation is provided for subsequent processing and optimization; the classification processing is carried out through a K-Means clustering algorithm, similar app programs can be classified into one type, a developer is helped to understand and organize a large amount of program data, and manageability and readability of the data are improved; the app program classification data is subjected to Z-Score normalization processing, so that dimensional differences among different attributes can be eliminated, the data is compared and analyzed on a unified scale, and subsequent processing and analysis work is facilitated; the initial version of the app can be determined by performing program version identification processing on the standardized data, so that subsequent version control and optimization work are facilitated; defect repair processing is carried out on the app program data of the initial version, so that the stability and the functionality of the program can be improved, and the user experience is improved; by generating an encryption key of the app by using a DES symmetric encryption algorithm, confidentiality and security of the app program can be protected against unauthorized access and tampering; the generated encryption key is used for carrying out encryption processing on the optimized app program data, so that the confidentiality of the data can be increased, and the security in the transmission and storage processes is ensured; by publishing the encrypted app version optimizing program data, app publishing program data which can be downloaded and installed by a user is generated, the user is ensured to obtain the app of the latest version, and the experience and satisfaction of the user are improved.
Preferably, step S15 comprises the steps of:
step S151: program test result collection processing is carried out on the program data of the initial version of the app to obtain the program data to be optimized of the app;
step S152: performing defect identification on app initial version program data according to app program data to be optimized to obtain app initial version defect program data;
step S153: performing threat level calculation processing on the app initial version defect program data by using a software program defect threat level algorithm to generate app program defect threat level data;
step S154: threat level judgment processing is carried out on app program defect threat level data according to a preset software program defect threat level threshold value, and when app program defect threat level data is greater than or equal to the software program defect threat level threshold value, defect repair processing of app initial version program data is stopped; when the app program defect threat level data is smaller than the software program defect threat level threshold, performing defect repair processing on the app initial version program data according to the app initial version defect program data to generate app version optimization program data.
According to the invention, the initial version program is tested, and the test result is collected, so that the performance and performance data of the program in various scenes can be obtained, the part needing to be optimized is identified, and the basis is provided for the subsequent optimization work; defects or errors in the initial version program, such as logic errors, functional problems and the like, can be identified by utilizing program data to be optimized, and targets and guides are provided for subsequent defect repair; the defect threat level algorithm of the software program is applied to analyze and calculate the defect program data of the initial version, so that the severity of the defect and the influence on the system safety can be evaluated, and a reference is provided for subsequent decision and optimization; by setting a preset defect threat level threshold, the defect threat level data can be judged and compared to determine whether further defect repair work is needed, so that resources and time are saved; according to the judging result, if the defect threat level data exceeds or is equal to a preset threshold value, stopping defect repair processing of the program data of the initial version, so that unnecessary repair work is avoided, and the working efficiency is improved; if the defect threat level data is lower than the preset threshold value, performing defect repair according to the initial version defect program data, so that the quality and safety of the program can be improved, the potential risk is reduced, the user experience is improved, and the stability and reliability of the system are improved.
Preferably, the software program defect threat level algorithm in step S153 is as follows:
；
in the method, in the process of the invention,representing a software program defect threat level value, +.>Differential, ∈min representing software defect>Differential, ∈min/min representing function>Representing the number of defective points of the software, < > and->Representing software program->The defects areRedundancy of trap points->Representing software program->Reliability of each test point->Structural differentiation representing software program, ++>Representing the complexity differentiation of the software program, +.>Representing potential vulnerability differentiation in a software program, +.>Representing a pre-estimated threat level derivative in a software program,/->Representing the security of a software program->Representing the stability of the software program,/->Deviation correction values representing software program defect threat level algorithms.
The invention constructs a software program defect threat level algorithm, takes a plurality of factors into consideration, comprehensively evaluates the defect threat level of the software program, and can calculate a comprehensive threat level value according to factors such as severity of defects, function change, defect number, redundancy, reliability, structural change, complexity change, potential loopholes and the like, and the evaluation is helpful for determining the safety risk of the software program and optimization measures required to be carried out. The algorithm fully considers the threat level value of the software program defect For evaluating the threat level of defects in the software program; differentiation of software defects->For considering the impact of the number and severity of defects on threat level, a larger defect differential value may result in a higher threat level; differentiation of functionsThe parameter considers the influence of the change of the software program function on the threat level, and the threat level can be increased by the larger differential value of the function; software defect point number->An increase in the number of defective points may increase the threat level of the software program; software program->Defective point redundancy->Redundancy refers to the number of repeated occurrences of defect points in a program, and higher redundancy may increase threat level; software program->Reliability of individual test points->Reliability refers to the detection capability of a test point on a software program, and higher reliability can reduce threat level; structural differentiation of software program>By analyzing the structure differential, the potential influence of the structure change on the software defect can be identified, and appropriate measures are taken to reduce the threat level; complexity differentiation of software programs>Software complexity is littleThe consideration of the score can reflect the influence of the change of the software complexity on the defect threat level; differential of potential vulnerability in software programs >The consideration of potential vulnerability differentiation can reflect the influence of the change of the potential vulnerability in the software on the threat level of the defect; predictive threat level differentiation in software programs>The estimated threat level differentiation is used for considering the influence of the pre-estimated threat level on the final threat level; security of software program->The security degree refers to the capability of the software program to resist attacks, and a higher security degree may reduce threat level; stability of software program->Stability refers to the stability and reliability of a software program, higher stability may reduce threat levels; deviation correction value of software program defect threat level algorithm>It is used to correct the results of the algorithm to improve the accuracy of the calculation.
Preferably, step S2 comprises the steps of:
step S21: acquiring app program service demand data;
step S22: performing service management platform architecture design based on app program service demand data to generate service management platform architecture data;
step S23: carrying out network equipment transmission line data construction processing according to the service management platform architecture data to generate platform equipment transmission line data;
step S24: performing anti-electromagnetic interference processing on the transmission line data of the platform equipment by using an electromagnetic shielding technology to generate anti-electromagnetic interference line data of the platform equipment;
Step S25: and establishing an app program service management platform according to the service management platform architecture data and the anti-electromagnetic interference circuit data of the platform equipment to generate the app program service management platform.
The invention can know the requirements of the user in terms of expected functions, performances, safety and the like by acquiring the service requirement data so as to design and establish the service management platform architecture in the subsequent steps; by acquiring data, the data processing and storage requirements required for the design and establishment of the service management platform architecture can be determined, including data volume, processing speed and data security; the components, modules and functions of the service management platform can be determined through the architecture design, requirements set forth in service demand data are met, the architecture design can define an interaction mode between the components in the service management platform and a communication mode between the service management platform and an external system, stability and expandability of the system are guaranteed, performance evaluation and risk analysis can be performed through the architecture design, the service management platform is guaranteed to have enough reliability and performance, and user demands are met; through the construction processing of the transmission line data, the layout of the network equipment, including network topology, equipment position and physical connection mode, can be determined, so as to ensure the high-efficiency transmission of the data and simultaneously optimize and adjust the network equipment, thereby improving the transmission speed, reducing delay and enhancing the reliability of the network; the influence of external electromagnetic interference on a transmission line of the platform equipment can be reduced through anti-electromagnetic interference treatment, so that the stability and reliability of the system are improved; based on architecture design and equipment processing data, the service management platform is ensured to provide stable and reliable service, meets the service requirements of users, has good user experience, and establishes an app program service management platform with complete functions and high efficiency.
Preferably, step S3 comprises the steps of:
step S31: uploading app release program data to an app program service management platform for validity checking, and generating app release program standardization data;
step S32: sorting the user search times of the normalized data of the app release program to obtain user program search preference data;
step S33: performing exposure retrieval on the app release program standardization data according to the user program search preference data to obtain app release program exposure data;
step S34: pricing processing is carried out on the normalized data of the app release program according to the exposure data of the app release program, so that the value data of the app release program is obtained;
step S35: and carrying out the loading processing of the app program service management platform on the app release program standardization data according to the app release program value data to obtain app loading program data.
By carrying out validity check, the invention can ensure that the uploaded app release program data accords with the standard and legal requirements of the platform and ensures the safety and privacy of users; through sorting the user search times of the app release program data, the interests and the demands of the user on different programs can be known, popular programs are optimized, and recommendation and search results which meet the demands of the user better are provided; through exposure retrieval, it can be determined which app release programs have higher exposure in user searching and browsing, further knowing user interests and preferences, and providing information about program market feedback for developers; through pricing processing according to the exposure data, market value and potential income of different app release programs can be known, and developers are helped to reasonably price and make business decisions; by putting the App release program on the App program service management platform, the visibility and the user downloading amount of the App release program can be increased, so that developers are helped to popularize and promote the market share of the App, and meanwhile, a convenient application downloading channel for the user is provided.
Preferably, step S4 comprises the steps of:
step S41: performing function module division processing on the app on-shelf program data to obtain app program function module data;
step S42: performing self-adaptive function identification encryption processing on the app program function module data by using a self-adaptive function identification encryption algorithm to obtain app program self-adaptive encryption identification data;
the adaptive function identification encryption algorithm in step S43 is as follows:
；
in the method, in the process of the invention,representing the encryption result value of the adaptive function identification,/->Representing the value of the time required for encrypting the identification +.>Indicate->Module function key,/->Indicate->Functional compression of individual modules,/->Indicate->Module function identification coefficient,/->Representing the number of application modules->An error adjustment value representing an adaptive function identification encryption algorithm;
step S43: acquiring a content distribution network node of the mobile internet;
step S44: distributing the self-adaptive encryption identification data of the app program to a content distribution network node based on the app program service management platform for downloading initialization processing to obtain app program initialization data;
step S45: calculating the mobile network rate of the content distribution network node to obtain content distribution network node rate data;
Step S46: carrying out concurrent quantity simulation processing on the content distribution network node according to the rate data of the content distribution network node to obtain the concurrent data of the content distribution network node;
step S47: carrying out concurrency quantity judgment processing on the concurrency data of the content distribution network node according to a preset concurrency threshold value of the content distribution network node, and carrying out concurrency processing operation on the app initialization compressed data to generate concurrency processing operation data when the concurrency data of the content distribution network node is greater than or equal to the concurrency threshold value of the content distribution network node; when the content distribution network node concurrency data is smaller than the content distribution network node concurrency threshold, initializing the app with compressed data to a normal processing job, and generating normal processing job data.
According to the method, the function modules of the app program data are divided, so that each function module of the program can be clearly classified and organized, and the maintainability and expansibility of the program are improved; the data of the functional modules are encrypted and marked through the self-adaptive functional mark encryption algorithm, so that the safety of the data can be improved, unauthorized access and information leakage are prevented, and meanwhile, each functional module is marked; the content distribution network node of the mobile internet can be obtained, so that the transmission efficiency and the downloading speed of data can be improved, and the data can be ensured to reach a user end quickly and stably; the self-adaptive encryption identification data is distributed to the content distribution network node for download initialization processing, so that the load of a server can be reduced, the speed of acquiring initialization data by a user is increased, and the user experience is improved; by calculating the mobile network rate of the content distribution network node, the condition and performance of the network can be evaluated, and basic data can be provided for subsequent processing operations; simulating the concurrency condition of the network node according to the rate data of the content distribution network node through concurrency quantity simulation processing, and providing a reference for subsequent processing operation; by judging and processing the concurrent data of the content distribution network node according to the concurrent threshold value, server resources can be reasonably utilized according to network conditions and resource availability, and when the concurrent data is greater than or equal to the threshold value, concurrent processing operation is performed, the parallel processing capacity of the server is fully utilized, and the processing speed and efficiency are improved. And when the concurrent data is smaller than the threshold value, the data is processed conventionally, so that resource waste is avoided.
The invention constructs an adaptive function identification encryption algorithm, which realizes the encryption of the app function module data and the identification of different function module data. The algorithm fully considers the self-adaptive function identification encryption result valueAs the result value of the self-adaptive function identification encryption algorithm, it generates an app self-adaptive encryption identification data by encrypting and calculating the input parameters, encrypts each function module and distinguishes the identifications; encryption of the time value required for identification->By considering the time value required by the encryption identification, the self-adaption can be realized, and the complexity of calculation and encryption can be adjusted according to the actual situation so as to balance the security and performance requirements of encryption; first->Personal module function key->By using different functional keys, data isolation and security among modules can be realized, so that the security of the whole system is improved; first->Individual module function compression rate->By considering the functional compression ratio, the data volume stored and transmitted can be reduced, and the efficiency and performance of the system are improved; first->Personal module function identification coefficient->The method is used for representing the importance or the weight of the functions of the modules, and the functions of different modules can be flexibly weighted by adjusting the function identification coefficients so as to meet specific requirements and optimize the system performance; application program module number- >By considering the number of modules, the system with different scales and complexity can be adapted, and flexibility and expandability are provided; error adjustment value of adaptive function identification encryption algorithm +.>By adjusting the error adjustment value, the accuracy and stability of the algorithm can be improved, so that the quality and reliability of the encryption result are improved.
Preferably, step S5 comprises the steps of:
step S51: when the concurrent processing job data is determined to be executed, carrying out data slicing processing on the app program initialization data to obtain app program initialization slicing data;
step S52: carrying out structure optimization processing on the app program initialization fragment data by using a concurrent queue to generate app program initialization compression queue data;
step S53: performing bandwidth expansion on a content distribution network node of the mobile internet to obtain bandwidth data of the content distribution network node;
step S54: performing performance test on the content distribution network node by using the bandwidth data of the content distribution network node to obtain the performance data of the content distribution network node;
step S55: and carrying out data distribution processing on the app program initialization compression queue data according to the content distribution network node performance data to obtain concurrent security operation report data.
The invention can divide the initialized data into small blocks by carrying out the slicing treatment on the initialized data, which can improve the treatment efficiency of the system and reduce the storage requirement, and is particularly important for large-scale application programs; and the concurrent queue is used for carrying out structure optimization processing on the fragmented data, so that the efficiency of data processing and transmission can be improved. The concurrent queue can realize parallel processing, thereby accelerating task execution speed and reducing response time; by expanding the bandwidth of the content distribution network node, the transmission capacity of the network node can be increased, the data transmission speed can be increased, the data transmission time can be shortened, the delay can be reduced, and the network experience of a user can be improved; through performance test, the performance level of the content distribution network node can be evaluated, indexes such as throughput, response time and the like of the node are known, configuration of the network node can be optimized, and performance and reliability are improved; according to the performance data of the network nodes, the initialized compressed queue data are distributed, so that the data can be transmitted to the nodes with enough performance, the high efficiency and the safety of data distribution are guaranteed, and meanwhile, the generation of the job report data can be used for monitoring and evaluating the running condition of the system.
Preferably, step S54 includes the steps of:
step S541: performing unit time data transmission quantity calculation processing on the content distribution network node according to the bandwidth data of the content distribution network node to obtain bandwidth rate data of the content distribution network node;
step S542: performing data delay test on the bandwidth rate data of the content distribution network node to obtain bandwidth delay data of the content distribution network node;
step S543: performing packet loss rate test on the bandwidth delay data of the content distribution network node to obtain bandwidth reliability data of the content distribution network node;
step S544: and performing uplink and downlink bandwidth performance test on the content distribution network node according to the bandwidth reliability data of the content distribution network node to obtain the performance data of the content distribution network node.
The invention can obtain the data transmission rate of the node by calculating the bandwidth data of the content distribution network node, which can provide the evaluation of the data quantity which can be transmitted by the node in unit time and help to know the transmission capacity of the node; by carrying out delay test on the bandwidth rate, the delay condition of data transmission can be evaluated, and knowing the delay can help to determine the response speed of the node when transmitting data, so that the transmission efficiency and the user experience are optimized; through the packet loss rate test, the data loss condition of the node in the transmission process can be evaluated, and knowing the packet loss rate can help to determine the reliability of the node, so that the packet loss problem is solved pertinently, and the stability and reliability of data transmission are improved; the performance of the content distribution network node can be comprehensively evaluated by carrying out uplink and downlink bandwidth performance test on the bandwidth reliability data, wherein the performance comprises the bandwidth performance of the node in uplink and downlink transmission directions, and the transmission capability and performance bottleneck of the node can be accurately known.
Preferably, the present invention provides an app service management platform based on mobile internet, comprising:
an app program issuing module for acquiring app program data; program version identification processing is carried out on the app program data to obtain app version program data; program release processing is carried out on the app version program data, and app release program data is generated;
the app program service management construction module is used for acquiring app program service requirement data; establishing an app program service management platform according to app program service demand data to generate the app program service management platform;
the app program loading module is used for carrying out app program service management platform loading processing on app release program data to obtain app loading program data;
an app program network node processing module for acquiring a content distribution network node of the mobile internet; carrying out downloading initialization processing on the app on-shelf program data to obtain app program initialization data; carrying out concurrent quantity simulation processing on the content distribution network node to obtain concurrent data of the content distribution network node; performing concurrency judgment processing on the concurrency data of the content distribution network node according to a preset concurrency threshold of the content distribution network node, and generating concurrency processing operation data or conventional processing operation data;
and the app program concurrency processing module is used for carrying out data distribution processing on app program initialization data when determining to execute concurrency processing job data, so as to obtain concurrency security job report data.
The invention has the beneficial effects that the information and the functions of the current app can be known and mastered by acquiring the app program data; by identifying the version of the app program, which version is currently used can be determined, subsequent program release and management work is facilitated, program release processing is carried out on app version program data, app release program data which can be downloaded and used by a user can be generated, and the user can be ensured to obtain the latest version; by acquiring the service demand data of the app program, the demand and the desire of the user can be clearly known, the subsequent service management and optimization work can be facilitated, a special management platform is established according to the app program service demand data, various services of the app can be effectively managed and provided, the demand of the user is met, and good user experience is provided; the app release program data is put on the app program service management platform to manage the app release program data, and meanwhile, downloading and installation can be provided for users, so that user groups and influence of the apps are enlarged; the method has the advantages that the distributed characteristics of the content distribution network node of the mobile internet are obtained, the downloading speed and the data transmission efficiency of the app can be improved, the app on-shelf program data are subjected to downloading initialization processing, normal app use after user downloading is ensured, optimized user experience is provided, the concurrency processing capability of the network node can be evaluated through concurrency quantity simulation and judgment processing on the content distribution network node, normal app downloading and service provision can be ensured during high concurrency, concurrency processing job data and normal processing job data are generated according to the concurrency quantity judgment result, app downloading and service requests are distributed to proper processing jobs, and the overall processing efficiency and performance are improved; and carrying out data distribution processing on the app program initialization data, ensuring the safety and stability of concurrent processing operation, avoiding data loss or damage, generating concurrent safety operation report data by analyzing and arranging the data distribution processing result, evaluating the safety and effect of the whole concurrent processing process, and providing reference for subsequent improvement and optimization. Therefore, the app program service management platform is an optimization process for the traditional app program service management platform, so that the problems of low downloading rate, long response time and the like of the traditional app program service management platform are solved, the app program downloading rate is improved, and the response time is improved.
Drawings
Fig. 1 is a flowchart illustrating steps of an app service management platform based on the mobile internet;
FIG. 2 is a flowchart illustrating the detailed implementation of step S5 in FIG. 1;
FIG. 3 is a flowchart illustrating the detailed implementation of step S54 in FIG. 2;
the achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
The following is a clear and complete description of the technical method of the present patent in conjunction with the accompanying drawings, and it is evident that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, are intended to fall within the scope of the present invention.
Furthermore, the drawings are merely schematic illustrations of the present invention and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus a repetitive description thereof will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. The functional entities may be implemented in software or in one or more hardware modules or integrated circuits or in different networks and/or processor methods and/or microcontroller methods.
It will be understood that, although the terms "first," "second," etc. may be used herein to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish one element from another element. For example, a first element could be termed a second element, and, similarly, a second element could be termed a first element, without departing from the scope of example embodiments. The term "and/or" as used herein includes any and all combinations of one or more of the associated listed items.
To achieve the above object, referring to fig. 1 to 3, the mobile internet-based app service management platform, the method includes the steps of:
step S1: acquiring app program data; program version identification processing is carried out on the app program data to obtain app version program data; program release processing is carried out on the app version program data, and app release program data is generated;
step S2: acquiring app program service demand data; establishing an app program service management platform according to app program service demand data to generate the app program service management platform;
step S3: carrying out app program service management platform on-shelf processing on app release program data to obtain app on-shelf program data;
Step S4: acquiring a content distribution network node of the mobile internet; carrying out downloading initialization processing on the app on-shelf program data to obtain app program initialization data; carrying out concurrent quantity simulation processing on the content distribution network node to obtain concurrent data of the content distribution network node; performing concurrency judgment processing on the concurrency data of the content distribution network node according to a preset concurrency threshold of the content distribution network node, generating concurrency processing operation data and conventional processing operation data, and feeding the conventional processing operation data back to the terminal;
step S5: when the concurrent processing job data is determined to be executed, the data distribution processing is carried out on the app program initialization data, and the concurrent security job report data is obtained.
In the embodiment of the present invention, as described with reference to fig. 1, a flow chart of steps of the app service management platform based on the mobile internet of the present invention is shown, and in this example, the app service management platform based on the mobile internet includes the following steps:
step S1: acquiring app program data; program version identification processing is carried out on the app program data to obtain app version program data; program release processing is carried out on the app version program data, and app release program data is generated;
In the embodiment of the invention, the related data such as the source code and the resource file of the app can be collected through a code warehouse or other approaches provided by a developer; analyzing and processing the collected app program data, and identifying different program versions, which can be realized by a version control tool or a code comparison peer-to-peer method; according to the identified different program versions, corresponding modification, update or repair is carried out in the program to generate different app version program data; the modified and updated app version program data is published in a form that can be downloaded and installed by a user.
Step S2: acquiring app program service demand data; establishing an app program service management platform according to app program service demand data to generate the app program service management platform;
in the embodiment of the invention, the requirements of users, developers or other related parties on the aspects of functions, performance, safety and the like are related by collecting the requirements and expectations of the users, developers or other related parties on the app program service; according to the collected app program service demand data, a management platform is built to manage the running, maintenance and service of the app, and the platform can comprise functions of user management, data management, version management, safety management and the like.
Step S3: carrying out app program service management platform on-shelf processing on app release program data to obtain app on-shelf program data;
in the embodiment of the invention, the generated app release program data is uploaded to the app program service management platform, and the app release program data is put on shelf, including auditing, configuration, price setting and other operations, and after the app release program data is put on shelf, the app release program data is generated for a user to download on the app program service management platform.
Step S4: acquiring a content distribution network node of the mobile internet; carrying out downloading initialization processing on the app on-shelf program data to obtain app program initialization data; carrying out concurrent quantity simulation processing on the content distribution network node to obtain concurrent data of the content distribution network node; performing concurrency judgment processing on the concurrency data of the content distribution network node according to a preset concurrency threshold of the content distribution network node, generating concurrency processing operation data and conventional processing operation data, and feeding the conventional processing operation data back to the terminal;
in the embodiment of the invention, content distribution network nodes in the mobile internet are selected, and the nodes are generally distributed in different areas or networks and are used for distributing the content such as data, files and the like of the app; the method comprises the steps that initialization processing is carried out on app on-shelf program data, and preparation work before downloading is carried out on app on-shelf program data, so that a user can have better experience; carrying out concurrency simulation on the content distribution network node, and simulating the condition of simultaneous downloading and app use of multiple users so as to acquire concurrency data of the content distribution network node; judging and processing the acquired concurrency data according to a preset concurrency threshold value of the content distribution network node, generating data exceeding the threshold value into concurrency processing operation data, generating data not exceeding the threshold value into normal processing operation data, and feeding back the normal processing operation data to the terminal.
Step S5: when the concurrent processing job data is determined to be executed, the data distribution processing is carried out on the app program initialization data, and the concurrent security job report data is obtained.
In the embodiment of the invention, when the concurrent processing job data is determined to be executed, the concurrent processing is carried out on the content distribution network node according to the concurrent processing job data, so that normal downloading and use of the app under the high concurrency condition are ensured, the app program initialization data is subjected to data distribution processing, the data is distributed to the content distribution network node to meet the requirement of the concurrent processing, and in the concurrent processing process, the data related to the safety is collected and recorded to generate the concurrent safety job report data, including statistics and analysis of abnormal conditions, attack conditions, breakdown conditions and the like.
According to the invention, the information and the functions of the current app can be known and mastered by acquiring the app program data; by identifying the version of the app program, which version is currently used can be determined, subsequent program release and management work is facilitated, program release processing is carried out on app version program data, app release program data which can be downloaded and used by a user can be generated, and the user can be ensured to obtain the latest version; by acquiring the service demand data of the app program, the demand and the desire of the user can be clearly known, the subsequent service management and optimization work can be facilitated, a special management platform is established according to the app program service demand data, various services of the app can be effectively managed and provided, the demand of the user is met, and good user experience is provided; the app release program data is put on the app program service management platform to manage the app release program data, and meanwhile, downloading and installation can be provided for users, so that user groups and influence of the apps are enlarged; the method has the advantages that the distributed characteristics of the content distribution network node of the mobile internet are obtained, the downloading speed and the data transmission efficiency of the app can be improved, the app on-shelf program data are subjected to downloading initialization processing, normal app use after user downloading is ensured, optimized user experience is provided, the concurrency processing capability of the network node can be evaluated through concurrency quantity simulation and judgment processing on the content distribution network node, normal app downloading and service provision can be ensured during high concurrency, concurrency processing job data and normal processing job data are generated according to the concurrency quantity judgment result, app downloading and service requests are distributed to proper processing jobs, and the overall processing efficiency and performance are improved; and carrying out data distribution processing on the app program initialization data, ensuring the safety and stability of concurrent processing operation, avoiding data loss or damage, generating concurrent safety operation report data by analyzing and arranging the data distribution processing result, evaluating the safety and effect of the whole concurrent processing process, and providing reference for subsequent improvement and optimization. Therefore, the app program service management platform is an optimization process for the traditional app program service management platform, so that the problems of low downloading rate, long response time and the like of the traditional app program service management platform are solved, the app program downloading rate is improved, and the response time is improved.
Preferably, step S1 comprises the steps of:
step S11: acquiring app program data;
step S12: classifying the app program data by using a K-Means clustering algorithm to generate app program classification data;
step S13: performing data standardization processing on the app program classification data by utilizing Z-Score normalization to generate app program standardization data;
step S14: program version identification processing is carried out on the app program standardized data to obtain app initial version program data;
step S15: performing defect repair processing on the app initial version program data to generate app version optimization program data;
step S16: generating an app encryption key based on a DES symmetric encryption algorithm;
step S17: encrypting the app version optimizer data by using an app encryption key to generate encrypted app version optimizer data;
step S18: and performing program release processing on the encrypted app version optimizing program data to generate app release program data.
In the embodiment of the invention, the source codes and related resource files of the app are acquired from a code warehouse or other paths provided by a developer, and K-Means is an unsupervised learning algorithm, so that data points can be divided into different clustering centers, app program data are divided into different categories, and app program classification data are generated; performing data normalization processing on app program classification data by using Z-Score normalization, and eliminating dimension differences among different features so that the app program classification data are comparable; version identification of standardized app program data using an appropriate algorithm (e.g., a machine learning based classification algorithm), separating the different versions of data; performing defect identification and analysis on the app program data of the initial version by using a static analysis tool, a test tool and other methods; performing processing such as code modification and bug repair according to the defect identification result to generate app version optimization program data subjected to defect repair; selecting a DES symmetric encryption algorithm as an algorithm for encrypting the app version optimization program data, generating a random key for the encryption and decryption process of the DES encryption algorithm, and using the key generated in the step S16 to encrypt the app version optimization program data so as to protect the confidentiality of the data, wherein the encrypted data is the encrypted app version optimization program data; the generated encrypted app version optimizing program data is manufactured into a form which can be downloaded and installed by a user, the specific mode can be selected according to application requirements, and app release program data which can be downloaded and used by the user is generated after release processing.
According to the method, the original application program files including source codes, resource files and the like can be obtained by obtaining the app program data, so that a foundation is provided for subsequent processing and optimization; the classification processing is carried out through a K-Means clustering algorithm, similar app programs can be classified into one type, a developer is helped to understand and organize a large amount of program data, and manageability and readability of the data are improved; the app program classification data is subjected to Z-Score normalization processing, so that dimensional differences among different attributes can be eliminated, the data is compared and analyzed on a unified scale, and subsequent processing and analysis work is facilitated; the initial version of the app can be determined by performing program version identification processing on the standardized data, so that subsequent version control and optimization work are facilitated; defect repair processing is carried out on the app program data of the initial version, so that the stability and the functionality of the program can be improved, and the user experience is improved; by generating an encryption key of the app by using a DES symmetric encryption algorithm, confidentiality and security of the app program can be protected against unauthorized access and tampering; the generated encryption key is used for carrying out encryption processing on the optimized app program data, so that the confidentiality of the data can be increased, and the security in the transmission and storage processes is ensured; by publishing the encrypted app version optimizing program data, app publishing program data which can be downloaded and installed by a user is generated, the user is ensured to obtain the app of the latest version, and the experience and satisfaction of the user are improved.
Preferably, step S15 comprises the steps of:
step S151: program test result collection processing is carried out on the program data of the initial version of the app to obtain the program data to be optimized of the app;
step S152: performing defect identification on app initial version program data according to app program data to be optimized to obtain app initial version defect program data;
step S153: performing threat level calculation processing on the app initial version defect program data by using a software program defect threat level algorithm to generate app program defect threat level data;
step S154: threat level judgment processing is carried out on app program defect threat level data according to a preset software program defect threat level threshold value, and when app program defect threat level data is greater than or equal to the software program defect threat level threshold value, defect repair processing of app initial version program data is stopped; when the app program defect threat level data is smaller than the software program defect threat level threshold, performing defect repair processing on the app initial version program data according to the app initial version defect program data to generate app version optimization program data.
In the embodiment of the invention, according to requirements and design documents, a test case is designed to test the function and performance of the app initial version program data, a test tool is operated or the app initial version program data is manually tested, and a test result is recorded; performing defect identification and analysis on the app program data to be optimized by using a static analysis tool, a test tool and other methods, determining defects in app initial version program data according to a defect identification result, and recording the defects; performing threat level calculation on each defect by using a software program defect threat level algorithm, performing threat level division according to factors such as severity, possibility and influence degree of the defect, judging the threat level of each defect according to a preset threat level threshold, stopping defect repair processing on app initial version program data if app defect threat level data is greater than or equal to the preset threat level threshold, performing corresponding code modification, vulnerability repair and the like according to app initial version defect program data when app defect threat level data is smaller than the software program defect threat level threshold, repairing the detected defect, and generating optimized app version program data including repaired defect and corresponding improvement after defect repair processing.
According to the invention, the initial version program is tested, and the test result is collected, so that the performance and performance data of the program in various scenes can be obtained, the part needing to be optimized is identified, and the basis is provided for the subsequent optimization work; defects or errors in the initial version program, such as logic errors, functional problems and the like, can be identified by utilizing program data to be optimized, and targets and guides are provided for subsequent defect repair; the defect threat level algorithm of the software program is applied to analyze and calculate the defect program data of the initial version, so that the severity of the defect and the influence on the system safety can be evaluated, and a reference is provided for subsequent decision and optimization; by setting a preset defect threat level threshold, the defect threat level data can be judged and compared to determine whether further defect repair work is needed, so that resources and time are saved; according to the judging result, if the defect threat level data exceeds or is equal to a preset threshold value, stopping defect repair processing of the program data of the initial version, so that unnecessary repair work is avoided, and the working efficiency is improved; if the defect threat level data is lower than the preset threshold value, performing defect repair according to the initial version defect program data, so that the quality and safety of the program can be improved, the potential risk is reduced, the user experience is improved, and the stability and reliability of the system are improved.
Preferably, the software program defect threat level algorithm in step S153 is as follows:
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in the method, in the process of the invention,representing a software program defect threat level value, +.>Differential, ∈min representing software defect>Differential, ∈min/min representing function>Representing software defect pointsQuantity (S)>Representing software program->Redundancy of defective points->Representing software program->Reliability of each test point->Structural differentiation representing software program, ++>Representing the complexity differentiation of the software program, +.>Representing potential vulnerability differentiation in a software program, +.>Representing a pre-estimated threat level derivative in a software program,/->Representing the security of a software program->Representing the stability of the software program,/->Deviation correction values representing software program defect threat level algorithms.
The invention constructs a software program defect threat level algorithm, takes a plurality of factors into consideration, comprehensively evaluates the defect threat level of the software program, and can calculate according to factors such as severity of defects, function change, defect number, redundancy, reliability, structure change, complexity change, potential loopholes and the likeSuch evaluation helps determine the security risk of the software program and the optimization measures that need to be taken, giving a comprehensive threat level value. The algorithm fully considers the threat level value of the software program defect For evaluating the threat level of defects in the software program; differentiation of software defects->For considering the impact of the number and severity of defects on threat level, a larger defect differential value may result in a higher threat level; differentiation of functionsThe parameter considers the influence of the change of the software program function on the threat level, and the threat level can be increased by the larger differential value of the function; software defect point number->An increase in the number of defective points may increase the threat level of the software program; software program->Defective point redundancy->Redundancy refers to the number of repeated occurrences of defect points in a program, and higher redundancy may increase threat level; software program->Reliability of individual test points->Reliability refers to the detection capability of a test point on a software program, and higher reliability can reduce threat level; structural differentiation of software program>By analyzing the structural differentiation,the potential impact of structural changes on software bugs can be identified and appropriate measures taken to reduce threat levels; complexity differentiation of software programs>The consideration of software complexity differentiation can reflect the influence of the change of the software complexity on the defect threat level; differential of potential vulnerability in software programs >The consideration of potential vulnerability differentiation can reflect the influence of the change of the potential vulnerability in the software on the threat level of the defect; predictive threat level differentiation in software programs>The estimated threat level differentiation is used for considering the influence of the pre-estimated threat level on the final threat level; security of software program->The security degree refers to the capability of the software program to resist attacks, and a higher security degree may reduce threat level; stability of software program->Stability refers to the stability and reliability of a software program, higher stability may reduce threat levels; deviation correction value of software program defect threat level algorithm>It is used to correct the results of the algorithm to improve the accuracy of the calculation.
Preferably, step S2 comprises the steps of:
step S21: acquiring app program service demand data;
step S22: performing service management platform architecture design based on app program service demand data to generate service management platform architecture data;
step S23: carrying out network equipment transmission line data construction processing according to the service management platform architecture data to generate platform equipment transmission line data;
step S24: performing anti-electromagnetic interference processing on the transmission line data of the platform equipment by using an electromagnetic shielding technology to generate anti-electromagnetic interference line data of the platform equipment;
Step S25: and establishing an app program service management platform according to the service management platform architecture data and the anti-electromagnetic interference circuit data of the platform equipment to generate the app program service management platform.
In the embodiment of the invention, related stakeholders (such as clients, users, product managers and the like) communicate and discuss, collect service demand data of the app program, sort, analyze and confirm the collected demand data, and ensure clear understanding and recognition of the service demand of the app program; according to the service demand data of the app program, designing the architecture of a service management platform, including system composition, module division, data flow and the like, recording and storing the designed service management platform architecture data for subsequent implementation and reference; according to the service management platform architecture data, the required network equipment is determined, including a switch, a router, a firewall and the like, the transmission lines between the network equipment are planned according to the architecture design and equipment selection, including physical connection and logic configuration, and according to the requirements of the service management platform, the proper electromagnetic shielding technology is selected, such as shielding covers, shielding materials and the like, the electromagnetic interference resistance treatment is carried out on the platform equipment transmission lines, and proper electromagnetic shielding measures are adopted to reduce the influence of interference; according to the service management platform architecture data and the anti-electromagnetic interference circuit data of platform equipment, a service management platform of an app program is built, the method comprises the steps of configuring equipment and setting network connection, testing and verifying the built app program service management platform, ensuring normal and stable functions, and meeting the function and performance requirements defined in app program service demand data.
The invention can know the requirements of the user in terms of expected functions, performances, safety and the like by acquiring the service requirement data so as to design and establish the service management platform architecture in the subsequent steps; by acquiring data, the data processing and storage requirements required for the design and establishment of the service management platform architecture can be determined, including data volume, processing speed and data security; the components, modules and functions of the service management platform can be determined through the architecture design, requirements set forth in service demand data are met, the architecture design can define an interaction mode between the components in the service management platform and a communication mode between the service management platform and an external system, stability and expandability of the system are guaranteed, performance evaluation and risk analysis can be performed through the architecture design, the service management platform is guaranteed to have enough reliability and performance, and user demands are met; through the construction processing of the transmission line data, the layout of the network equipment, including network topology, equipment position and physical connection mode, can be determined, so as to ensure the high-efficiency transmission of the data and simultaneously optimize and adjust the network equipment, thereby improving the transmission speed, reducing delay and enhancing the reliability of the network; the influence of external electromagnetic interference on a transmission line of the platform equipment can be reduced through anti-electromagnetic interference treatment, so that the stability and reliability of the system are improved; based on architecture design and equipment processing data, the service management platform is ensured to provide stable and reliable service, meets the service requirements of users, has good user experience, and establishes an app program service management platform with complete functions and high efficiency.
Preferably, step S3 comprises the steps of:
step S31: uploading app release program data to an app program service management platform for validity checking, and generating app release program standardization data;
step S32: sorting the user search times of the normalized data of the app release program to obtain user program search preference data;
step S33: performing exposure retrieval on the app release program standardization data according to the user program search preference data to obtain app release program exposure data;
step S34: pricing processing is carried out on the normalized data of the app release program according to the exposure data of the app release program, so that the value data of the app release program is obtained;
step S35: and carrying out the loading processing of the app program service management platform on the app release program standardization data according to the app release program value data to obtain app loading program data.
In the embodiment of the invention, the app release program data is uploaded to the app program service management platform, so that the integrity and the accuracy of the data are ensured, the uploaded app release program data are subjected to validity check, including verification of a data format, and after the validity check, the app release program data are subjected to standardization processing, so that the data are ensured to meet the requirements and specifications of the platform; counting the searching times of a user on each app release program, acquiring searching amount data of each program, sorting the app release programs according to the searching times of the user, arranging the program with higher searching amount in front to form user program searching preference data, searching corresponding app release program data in an app program service management platform according to the user program searching preference data, acquiring exposure data of each app release program on the platform, analyzing the exposure data of the app release program, evaluating the popularity and market demand of the program on the platform, pricing each app release program according to the analysis result, and determining the value data of each app release program on the platform; according to the value data of the app release program, determining whether to put the program on the app program service management platform, registering the app release program which is confirmed to put on the shelf, and generating corresponding app put program data comprising program names, descriptions and icons.
By carrying out validity check, the invention can ensure that the uploaded app release program data accords with the standard and legal requirements of the platform and ensures the safety and privacy of users; through sorting the user search times of the app release program data, the interests and the demands of the user on different programs can be known, popular programs are optimized, and recommendation and search results which meet the demands of the user better are provided; through exposure retrieval, it can be determined which app release programs have higher exposure in user searching and browsing, further knowing user interests and preferences, and providing information about program market feedback for developers; through pricing processing according to the exposure data, market value and potential income of different app release programs can be known, and developers are helped to reasonably price and make business decisions; by putting the App release program on the App program service management platform, the visibility and the user downloading amount of the App release program can be increased, so that developers are helped to popularize and promote the market share of the App, and meanwhile, a convenient application downloading channel for the user is provided.
Preferably, step S4 comprises the steps of:
step S41: performing function module division processing on the app on-shelf program data to obtain app program function module data;
Step S42: performing self-adaptive function identification encryption processing on the app program function module data by using a self-adaptive function identification encryption algorithm to obtain app program self-adaptive encryption identification data;
the adaptive function identification encryption algorithm in step S43 is as follows:
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in the method, in the process of the invention,representing the encryption result value of the adaptive function identification,/->Representing the value of the time required for encrypting the identification +.>Indicate->Module function key,/->Indicate->Functional compression of individual modules,/->Indicate->Module function identification coefficient,/->Representing the number of application modules->An error adjustment value representing an adaptive function identification encryption algorithm;
step S43: acquiring a content distribution network node of the mobile internet;
step S44: distributing the self-adaptive encryption identification data of the app program to a content distribution network node based on the app program service management platform for downloading initialization processing to obtain app program initialization data;
step S45: calculating the mobile network rate of the content distribution network node to obtain content distribution network node rate data;
step S46: carrying out concurrent quantity simulation processing on the content distribution network node according to the rate data of the content distribution network node to obtain the concurrent data of the content distribution network node;
Step S47: carrying out concurrency quantity judgment processing on the concurrency data of the content distribution network node according to a preset concurrency threshold value of the content distribution network node, and carrying out concurrency processing operation on the app initialization compressed data to generate concurrency processing operation data when the concurrency data of the content distribution network node is greater than or equal to the concurrency threshold value of the content distribution network node; when the content distribution network node concurrency data is smaller than the content distribution network node concurrency threshold, initializing the app with compressed data to a normal processing job, and generating normal processing job data.
In the embodiment of the invention, function analysis is carried out on the on-shelf app program data, the program is divided into modules according to the function characteristics of the program, and the related data of each module is classified into the corresponding function module to obtain app program function module data for distinguishing different function modules; the data of each functional module is encrypted by utilizing an adaptive function identification encryption algorithm, so that the safety and confidentiality of the data are ensured, and corresponding app adaptive encryption identification data are generated after the encryption processing and are used for identifying and protecting the data of each functional module; acquiring a content distribution network node list of the mobile internet through a certain resource acquisition or cooperation with a service provider, wherein the nodes can provide high-efficiency data transmission and distribution services, an app program service management platform is utilized to distribute app program self-adaptive encryption identification data to the content distribution network nodes, the received encryption identification data is initialized in the content distribution network nodes to obtain initialization data of the app program for subsequent processing and use, the mobile network rate of the content distribution network nodes is calculated and measured to acquire network transmission speed and performance data of the nodes, and rate data of each content distribution network node is obtained according to calculation and measurement results and is used for subsequent concurrent quantity simulation and judgment processing; according to the rate data of the content distribution network nodes, carrying out concurrent quantity simulation processing, simulating performance of the nodes under the condition of concurrent access, and according to simulation results, obtaining concurrent data of each content distribution network node, wherein the concurrent data represent processing capacity of the nodes under a certain concurrent quantity; judging whether the concurrency data of each content distribution network node reaches or exceeds a threshold value according to a preset content distribution network node concurrency threshold value, if the content distribution network node concurrency data is greater than or equal to the content distribution network node concurrency threshold value, performing concurrency processing operation on the app initialization compressed data to generate concurrency processing operation data, and if the content distribution network node concurrency data is less than the content distribution network node concurrency threshold value, performing conventional processing operation on the app initialization compressed data to generate conventional processing operation data.
According to the method, the function modules of the app program data are divided, so that each function module of the program can be clearly classified and organized, and the maintainability and expansibility of the program are improved; the data of the functional modules are encrypted and marked through the self-adaptive functional mark encryption algorithm, so that the safety of the data can be improved, unauthorized access and information leakage are prevented, and meanwhile, each functional module is marked; the content distribution network node of the mobile internet can be obtained, so that the transmission efficiency and the downloading speed of data can be improved, and the data can be ensured to reach a user end quickly and stably; the self-adaptive encryption identification data is distributed to the content distribution network node for download initialization processing, so that the load of a server can be reduced, the speed of acquiring initialization data by a user is increased, and the user experience is improved; by calculating the mobile network rate of the content distribution network node, the condition and performance of the network can be evaluated, and basic data can be provided for subsequent processing operations; simulating the concurrency condition of the network node according to the rate data of the content distribution network node through concurrency quantity simulation processing, and providing a reference for subsequent processing operation; by judging and processing the concurrent data of the content distribution network node according to the concurrent threshold value, server resources can be reasonably utilized according to network conditions and resource availability, and when the concurrent data is greater than or equal to the threshold value, concurrent processing operation is performed, the parallel processing capacity of the server is fully utilized, and the processing speed and efficiency are improved. And when the concurrent data is smaller than the threshold value, the data is processed conventionally, so that resource waste is avoided.
The invention constructs an adaptive function identification encryption algorithm, which realizes the encryption of the app function module data and the identification of different function module data. The algorithm fully considers the self-adaptive function identification encryption result valueAs the result value of the self-adaptive function identification encryption algorithm, it generates an app self-adaptive encryption identification data by encrypting and calculating the input parameters, encrypts each function module and distinguishes the identifications; encryption of the time value required for identification->By considering the time value required by the encryption identification, the self-adaption can be realized, and the complexity of calculation and encryption can be adjusted according to the actual situation so as to balance the security and performance requirements of encryption; first->Personal module function key->By using different functional keys, data isolation and security among modules can be realized, so that the security of the whole system is improved; first->Individual module function compression rate->By considering the functional compression ratio, the data volume stored and transmitted can be reduced, and the efficiency and performance of the system are improved; first->Personal module function identification coefficient->The method is used for representing the importance or the weight of the functions of the modules, and the functions of different modules can be flexibly weighted by adjusting the function identification coefficients so as to meet specific requirements and optimize the system performance; application program module number- >By considering the number of modules, the system with different scales and complexity can be adapted, and flexibility and expandability are provided; error adjustment value of adaptive function identification encryption algorithm +.>By adjusting the error adjustment value, the accuracy and stability of the algorithm can be improved, so that the quality and reliability of the encryption result are improved.
Preferably, step S5 comprises the steps of:
step S51: when the concurrent processing job data is determined to be executed, carrying out data slicing processing on the app program initialization data to obtain app program initialization slicing data;
step S52: carrying out structure optimization processing on the app program initialization fragment data by using a concurrent queue to generate app program initialization compression queue data;
step S53: performing bandwidth expansion on a content distribution network node of the mobile internet to obtain bandwidth data of the content distribution network node;
step S54: performing performance test on the content distribution network node by using the bandwidth data of the content distribution network node to obtain the performance data of the content distribution network node;
step S55: and carrying out data distribution processing on the app program initialization compression queue data according to the content distribution network node performance data to obtain concurrent security operation report data.
As an example of the present invention, referring to fig. 2, the step S5 in this example includes:
step S51: performing data slicing processing on the app program initialization data to obtain app program initialization slicing data;
in the embodiment of the invention, the initialization data of the app program is subjected to the slicing processing, the large data file is sliced into smaller data fragments, and the slicing processing can determine the size and the number of the slices based on a fixed size or according to a specific algorithm and strategy so as to better manage and process the data.
Step S52: carrying out structure optimization processing on the app program initialization fragment data by using a concurrent queue to generate app program initialization compression queue data;
in the embodiment of the invention, the concurrent queue data structure is utilized to orderly arrange and manage the initialization fragment data, and the result is to generate an optimized concurrent queue which contains the compression queue of the initialization data of the app program, thereby providing a more efficient data access and processing mode.
Step S53: performing bandwidth expansion on a content distribution network node of the mobile internet to obtain bandwidth data of the content distribution network node;
in the embodiment of the invention, the bandwidth expansion is carried out on the content distribution network nodes of the mobile internet, the network bandwidth capacity of the nodes is increased, the bandwidth expansion can be realized by increasing network connection, upgrading network equipment or using other technical means, and after the expansion is finished, the bandwidth data of each content distribution network node is obtained, which represents the network transmission rate which can be provided by the nodes.
Step S54: performing performance test on the content distribution network node by using the bandwidth data of the content distribution network node to obtain the performance data of the content distribution network node;
in the embodiment of the invention, the performance test is carried out by utilizing the bandwidth data of the content distribution network nodes, the actual performance and throughput of the nodes are evaluated, and the test result obtains the performance data of each content distribution network node, including indexes such as response time, throughput and the like.
Step S55: and carrying out data distribution processing on the app program initialization compression queue data according to the content distribution network node performance data to obtain concurrent security operation report data.
In the embodiment of the invention, according to the performance data of the content distribution network node, the app program initialization compression queue data is distributed to the proper content distribution network node, the concurrent distribution strategy is optimized, which nodes are used for data distribution, and after the distribution is completed, concurrent security operation report data is generated, including relevant information such as data distribution results, security assessment and the like.
The invention can divide the initialized data into small blocks by carrying out the slicing treatment on the initialized data, which can improve the treatment efficiency of the system and reduce the storage requirement, and is particularly important for large-scale application programs; and the concurrent queue is used for carrying out structure optimization processing on the fragmented data, so that the efficiency of data processing and transmission can be improved. The concurrent queue can realize parallel processing, thereby accelerating task execution speed and reducing response time; by expanding the bandwidth of the content distribution network node, the transmission capacity of the network node can be increased, the data transmission speed can be increased, the data transmission time can be shortened, the delay can be reduced, and the network experience of a user can be improved; through performance test, the performance level of the content distribution network node can be evaluated, indexes such as throughput, response time and the like of the node are known, configuration of the network node can be optimized, and performance and reliability are improved; according to the performance data of the network nodes, the initialized compressed queue data are distributed, so that the data can be transmitted to the nodes with enough performance, the high efficiency and the safety of data distribution are guaranteed, and meanwhile, the generation of the job report data can be used for monitoring and evaluating the running condition of the system.
Preferably, step S54 includes the steps of:
step S541: performing unit time data transmission quantity calculation processing on the content distribution network node according to the bandwidth data of the content distribution network node to obtain bandwidth rate data of the content distribution network node;
step S542: performing data delay test on the bandwidth rate data of the content distribution network node to obtain bandwidth delay data of the content distribution network node;
step S543: performing packet loss rate test on the bandwidth delay data of the content distribution network node to obtain bandwidth reliability data of the content distribution network node;
step S544: and performing uplink and downlink bandwidth performance test on the content distribution network node according to the bandwidth reliability data of the content distribution network node to obtain the performance data of the content distribution network node.
As an example of the present invention, referring to fig. 3, the step S54 in this example includes:
preferably, step S54 includes the steps of:
step S541: performing unit time data transmission quantity calculation processing on the content distribution network node according to the bandwidth data of the content distribution network node to obtain bandwidth rate data of the content distribution network node;
according to the bandwidth data of the content distribution network node, the data quantity which can be transmitted by each node in unit time is calculated, and according to the bandwidth data of the node and the time unit, the bandwidth rate of each node is calculated to represent the data quantity which can be transmitted by the node in unit time.
Step S542: performing data delay test on the bandwidth rate data of the content distribution network node to obtain bandwidth delay data of the content distribution network node;
in the embodiment of the invention, the bandwidth rate of the content distribution network node is subjected to delay test by using a testing tool or method; and simulating data transmission in the test and measuring delay time to evaluate the bandwidth delay performance of the nodes, wherein the test result obtains the bandwidth delay data of each node and represents the delay condition of the nodes when transmitting the data.
Step S543: performing packet loss rate test on the bandwidth delay data of the content distribution network node to obtain bandwidth reliability data of the content distribution network node;
in the embodiment of the invention, the bandwidth delay data of the nodes of the content distribution network are subjected to the packet loss rate test by using a testing tool or a testing method, the data transmission is simulated in the test, the packet loss rate is measured so as to evaluate the bandwidth reliability of the nodes, and the test result obtains the bandwidth reliability data of each node and represents the packet loss condition of the nodes when the nodes transmit the data.
Step S544: and performing uplink and downlink bandwidth performance test on the content distribution network node according to the bandwidth reliability data of the content distribution network node to obtain the performance data of the content distribution network node.
In the embodiment of the invention, the uplink and downlink bandwidth performance test is carried out on the nodes of the content distribution network by using a test tool or a test method, uplink and downlink data transmission is simulated in the test, the transmission rate and performance indexes are measured, and the test result obtains the performance data of each node, including the indexes such as the uplink and downlink bandwidth performance and the like.
The invention can obtain the data transmission rate of the node by calculating the bandwidth data of the content distribution network node, which can provide the evaluation of the data quantity which can be transmitted by the node in unit time and help to know the transmission capacity of the node; by carrying out delay test on the bandwidth rate, the delay condition of data transmission can be evaluated, and knowing the delay can help to determine the response speed of the node when transmitting data, so that the transmission efficiency and the user experience are optimized; through the packet loss rate test, the data loss condition of the node in the transmission process can be evaluated, and knowing the packet loss rate can help to determine the reliability of the node, so that the packet loss problem is solved pertinently, and the stability and reliability of data transmission are improved; the performance of the content distribution network node can be comprehensively evaluated by carrying out uplink and downlink bandwidth performance test on the bandwidth reliability data, wherein the performance comprises the bandwidth performance of the node in uplink and downlink transmission directions, and the transmission capability and performance bottleneck of the node can be accurately known.
Preferably, the present invention provides an app service management platform based on mobile internet, comprising:
an app program issuing module for acquiring app program data; program version identification processing is carried out on the app program data to obtain app version program data; program release processing is carried out on the app version program data, and app release program data is generated;
the app program service management construction module is used for acquiring app program service requirement data; establishing an app program service management platform according to app program service demand data to generate the app program service management platform;
the app program loading module is used for carrying out app program service management platform loading processing on app release program data to obtain app loading program data;
an app program network node processing module for acquiring a content distribution network node of the mobile internet; carrying out downloading initialization processing on the app on-shelf program data to obtain app program initialization data; carrying out concurrent quantity simulation processing on the content distribution network node to obtain concurrent data of the content distribution network node; performing concurrency judgment processing on the concurrency data of the content distribution network node according to a preset concurrency threshold of the content distribution network node, and generating concurrency processing operation data or conventional processing operation data;
and the app program concurrency processing module is used for carrying out data distribution processing on app program initialization data when determining to execute concurrency processing job data, so as to obtain concurrency security job report data.
According to the invention, the information and the functions of the current app can be known and mastered by acquiring the app program data; by identifying the version of the app program, which version is currently used can be determined, subsequent program release and management work is facilitated, program release processing is carried out on app version program data, app release program data which can be downloaded and used by a user can be generated, and the user can be ensured to obtain the latest version; by acquiring the service demand data of the app program, the demand and the desire of the user can be clearly known, the subsequent service management and optimization work can be facilitated, a special management platform is established according to the app program service demand data, various services of the app can be effectively managed and provided, the demand of the user is met, and good user experience is provided; the app release program data is put on the app program service management platform to manage the app release program data, and meanwhile, downloading and installation can be provided for users, so that user groups and influence of the apps are enlarged; the method has the advantages that the distributed characteristics of the content distribution network node of the mobile internet are obtained, the downloading speed and the data transmission efficiency of the app can be improved, the app on-shelf program data are subjected to downloading initialization processing, normal app use after user downloading is ensured, optimized user experience is provided, the concurrency processing capability of the network node can be evaluated through concurrency quantity simulation and judgment processing on the content distribution network node, normal app downloading and service provision can be ensured during high concurrency, concurrency processing job data and normal processing job data are generated according to the concurrency quantity judgment result, app downloading and service requests are distributed to proper processing jobs, and the overall processing efficiency and performance are improved; and carrying out data distribution processing on the app program initialization data, ensuring the safety and stability of concurrent processing operation, avoiding data loss or damage, generating concurrent safety operation report data by analyzing and arranging the data distribution processing result, evaluating the safety and effect of the whole concurrent processing process, and providing reference for subsequent improvement and optimization. Therefore, the app program service management platform is an optimization process for the traditional app program service management platform, so that the problems of low downloading rate, long response time and the like of the traditional app program service management platform are solved, the app program downloading rate is improved, and the response time is improved.
The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein.
The foregoing is only a specific embodiment of the invention to enable those skilled in the art to understand or practice the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (6)
1. The data processing method of the app service management platform based on the mobile internet is characterized by comprising the following steps of:
step S1: acquiring app program data; program version identification processing is carried out on the app program data to obtain app version program data; program release processing is carried out on the app version program data, and app release program data is generated; wherein, step S1 includes:
Step S11: acquiring app program data;
step S12: classifying the app program data by using a K-Means clustering algorithm to generate app program classification data;
step S13: performing data standardization processing on the app program classification data by utilizing Z-Score normalization to generate app program standardization data;
step S14: program version identification processing is carried out on the app program standardized data to obtain app initial version program data;
step S15: performing defect repair processing on the app initial version program data to generate app version optimization program data; wherein, step S15 includes:
step S151: program test result collection processing is carried out on the program data of the initial version of the app to obtain the program data to be optimized of the app;
step S152: performing defect identification on app initial version program data according to app program data to be optimized to obtain app initial version defect program data;
step S153: performing threat level calculation processing on the app initial version defect program data by using a software program defect threat level algorithm to generate app program defect threat level data; the software program defect threat level algorithm is as follows:
；
in the method, in the process of the invention,representing a software program defect threat level value, +. >Differential, ∈min representing software defect>Differential, ∈min/min representing function>Representing the number of defective points of the software, < > and->Representing software program->Redundancy of defective points->Representing software program->Reliability of each test point->Structural differentiation representing software program, ++>Representing the complexity differentiation of the software program, +.>Representing potential vulnerability differentiation in a software program, +.>Representing a pre-estimated threat level derivative in a software program,/->Representing the security of a software program->Representing the stability of the software program,/->A deviation correction value representing a software program defect threat level algorithm;
step S154: threat level judgment processing is carried out on app program defect threat level data according to a preset software program defect threat level threshold value, and when app program defect threat level data is greater than or equal to the software program defect threat level threshold value, defect repair processing of app initial version program data is stopped; when the app program defect threat level data is smaller than the software program defect threat level threshold, performing defect repair processing on app initial version program data according to app initial version defect program data to generate app version optimization program data;
step S16: generating an app encryption key based on a DES symmetric encryption algorithm;
Step S17: encrypting the app version optimizer data by using an app encryption key to generate encrypted app version optimizer data;
step S18: program release processing is carried out on the encrypted app version optimizing program data, and app release program data is generated;
step S2: acquiring app program service demand data; establishing an app program service management platform according to app program service demand data to generate the app program service management platform;
step S3: carrying out app program service management platform on-shelf processing on app release program data to obtain app on-shelf program data;
step S4: acquiring a content distribution network node of the mobile internet; carrying out downloading initialization processing on the app on-shelf program data to obtain app program initialization data; carrying out concurrent quantity simulation processing on the content distribution network node to obtain concurrent data of the content distribution network node; performing concurrency judgment processing on the concurrency data of the content distribution network node according to a preset concurrency threshold of the content distribution network node, generating concurrency processing operation data and conventional processing operation data, and feeding the conventional processing operation data back to the terminal; wherein, step S4 includes:
step S41: performing function module division processing on the app on-shelf program data to obtain app program function module data;
Step S42: performing self-adaptive function identification encryption processing on the app program function module data by using a self-adaptive function identification encryption algorithm to obtain app program self-adaptive encryption identification data; the adaptive function identification encryption algorithm is as follows:
；
in the method, in the process of the invention,representing the encryption result value of the adaptive function identification,/->Representing the value of the time required for encrypting the identification +.>Indicate->Module function key,/->Indicate->Functional compression of individual modules,/->Indicate->Module function identification coefficient,/->Representing the number of application modules->An error adjustment value representing an adaptive function identification encryption algorithm;
step S43: acquiring a content distribution network node of the mobile internet;
step S44: distributing the self-adaptive encryption identification data of the app program to a content distribution network node based on the app program service management platform for downloading initialization processing to obtain app program initialization data;
step S45: calculating the mobile network rate of the content distribution network node to obtain content distribution network node rate data;
step S46: carrying out concurrent quantity simulation processing on the content distribution network node according to the rate data of the content distribution network node to obtain the concurrent data of the content distribution network node;
Step S47: carrying out concurrency quantity judgment processing on the concurrency data of the content distribution network node according to a preset concurrency threshold value of the content distribution network node, and carrying out concurrency processing operation on the app initialization compressed data to generate concurrency processing operation data when the concurrency data of the content distribution network node is greater than or equal to the concurrency threshold value of the content distribution network node; initializing the app to compress data for conventional processing operation when the content distribution network node concurrency data is smaller than the content distribution network node concurrency threshold value, and generating conventional processing operation data;
step S5: when the concurrent processing job data is determined to be executed, the data distribution processing is carried out on the app program initialization data, and the concurrent security job report data is obtained.
2. The data processing method of the mobile internet-based app service management platform as claimed in claim 1, wherein step S2 comprises the steps of:
step S21: acquiring app program service demand data;
step S22: performing service management platform architecture design based on app program service demand data to generate service management platform architecture data;
step S23: carrying out network equipment transmission line data construction processing according to the service management platform architecture data to generate platform equipment transmission line data;
Step S24: performing anti-electromagnetic interference processing on the transmission line data of the platform equipment by using an electromagnetic shielding technology to generate anti-electromagnetic interference line data of the platform equipment;
step S25: and establishing an app program service management platform according to the service management platform architecture data and the anti-electromagnetic interference circuit data of the platform equipment to generate the app program service management platform.
3. The data processing method of the mobile internet-based app service management platform as claimed in claim 1, wherein step S3 comprises the steps of:
step S31: uploading app release program data to an app program service management platform for validity checking, and generating app release program standardization data;
step S32: sorting the user search times of the normalized data of the app release program to obtain user program search preference data;
step S33: performing exposure retrieval on the app release program standardization data according to the user program search preference data to obtain app release program exposure data;
step S34: pricing processing is carried out on the normalized data of the app release program according to the exposure data of the app release program, so that the value data of the app release program is obtained;
step S35: and carrying out the loading processing of the app program service management platform on the app release program standardization data according to the app release program value data to obtain app loading program data.
4. The data processing method of the mobile internet-based app service management platform as claimed in claim 1, wherein step S5 comprises the steps of:
step S51: when the concurrent processing job data is determined to be executed, carrying out data slicing processing on the app program initialization data to obtain app program initialization slicing data;
step S52: carrying out structure optimization processing on the app program initialization fragment data by using a concurrent queue to generate app program initialization compression queue data;
step S53: performing bandwidth expansion on a content distribution network node of the mobile internet to obtain bandwidth data of the content distribution network node;
step S54: performing performance test on the content distribution network node by using the bandwidth data of the content distribution network node to obtain the performance data of the content distribution network node;
step S55: and carrying out data distribution processing on the app program initialization compression queue data according to the content distribution network node performance data to obtain concurrent security operation report data.
5. The data processing method of the mobile internet-based app service management platform as claimed in claim 4, wherein step S54 comprises the steps of:
step S541: performing unit time data transmission quantity calculation processing on the content distribution network node according to the bandwidth data of the content distribution network node to obtain bandwidth rate data of the content distribution network node;
Step S542: performing data delay test on the bandwidth rate data of the content distribution network node to obtain bandwidth delay data of the content distribution network node;
step S543: performing packet loss rate test on the bandwidth delay data of the content distribution network node to obtain bandwidth reliability data of the content distribution network node;
step S544: and performing uplink and downlink bandwidth performance test on the content distribution network node according to the bandwidth reliability data of the content distribution network node to obtain the performance data of the content distribution network node.
6. A mobile internet-based app service management platform for executing a data processing method of the mobile internet-based app service management platform as claimed in claim 1, the mobile internet-based app service management platform comprising:
an app program issuing module for acquiring app program data; program version identification processing is carried out on the app program data to obtain app version program data; program release processing is carried out on the app version program data, and app release program data is generated;
the app program service management construction module is used for acquiring app program service requirement data; establishing an app program service management platform according to app program service demand data to generate the app program service management platform;
The app program loading module is used for carrying out app program service management platform loading processing on app release program data to obtain app loading program data;
an app program network node processing module for acquiring a content distribution network node of the mobile internet; carrying out downloading initialization processing on the app on-shelf program data to obtain app program initialization data; carrying out concurrent quantity simulation processing on the content distribution network node to obtain concurrent data of the content distribution network node; performing concurrency judgment processing on the concurrency data of the content distribution network node according to a preset concurrency threshold of the content distribution network node, and generating concurrency processing operation data or conventional processing operation data;
and the app program concurrency processing module is used for carrying out data distribution processing on app program initialization data when determining to execute concurrency processing job data, so as to obtain concurrency security job report data.
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