CN115695051A - Data center transmission management system based on remote network platform architecture - Google Patents
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Abstract
The invention discloses a data center transmission management system based on a remote network platform architecture, and belongs to the technical field of data processing. In order to solve the problems of low data transmission safety and tedious remote login verification, a data storage layer is used for classifying data in a storage base station, storing the data in a cloud and calling the data, module classification processing analysis is carried out on the data in a centralized mode to form a plurality of subunit architectures, each subunit has an independent coding identifier, corresponding codes are input when the data is called in remote places, a data file corresponding to the coding identifier can be called in remote places, the verification process required by remote login is saved, a data scheduling layer is used for encrypting, transmitting and decoding the data in the data storage layer, different code sequences are generated according to different data when the data is encrypted and transmitted, the code sequences are changeable and difficult to decode quickly through a fixed decoding program, and the data is extracted quickly to obtain safety guarantee.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a data center transmission management system based on a remote network platform architecture.
Background
In connection with network data transmission, related patents, such as application number CN202211102318.1, disclose a data transmission method, a data transmission system and a computer readable storage medium. The data transmission method comprises the following steps: under the condition that one of the first data channel and the second data channel is determined to be in an idle state, acquiring a first data message and a second data message, wherein the first data message is the data message with the highest priority in the data channel in the idle state, the second data message is the unselected data message with the highest priority in the other data channel, and the data transmission rate of the first data channel is greater than that of the second data channel; and under the condition that one of the first data message and the second data message is determined as the priority data message, transmitting the priority data message through one of the first data channel and the second data channel. The data transmission method can fully utilize the dual-mode communication channel, improve the communication stability and reduce the communication time delay.
The above patent actually has the following problems in actual operation:
1. in the process of data transmission of a remote network platform, verification is often required when the user logs in a platform account, remote login verification is complicated, and meanwhile, the problem of verification failure may exist, so that the remote network platform is troublesome to log in, and data transmission is influenced.
2. In the process of data transmission of the remote network platform, data files are directly transmitted through a network, so that the data transmission safety is low, the problem of data leakage is easily caused, and potential safety hazards are brought.
Disclosure of Invention
The present invention is directed to a data center transmission management system based on a remote network platform architecture, which has the advantages of solving the problems set forth in the background art.
In order to achieve the purpose, the invention provides the following technical scheme: a data center transmission management system based on a remote network platform architecture comprises a storage base station, a remote terminal, a data storage layer, a data scheduling layer and an implementation layer;
the storage base station is used for performing cloud storage and data calling transmission on data;
the remote terminal is used for receiving the data stored in the cloud end;
the data storage layer is used for carrying out classification processing, cloud storage and data retrieval on data in the storage base station;
the data scheduling layer is used for encrypting, transmitting and decoding data in the data storage layer;
the implementation layer is used for carrying the data scheduling layer and the data storage layer, controlling the transmission management system and sending and receiving the transmitted data, and the implementation layer is in signal interactive connection with the data scheduling layer and the data storage layer through a network.
Further, the data storage layer comprises a classification processing module, a cloud storage module and a data calling module;
the classification processing module is used for carrying out module classification processing analysis on the data to form a plurality of subunit architectures, and generating an independent coding identifier for each subunit, wherein the coding identifier is used for inputting and using when the data is called in different places;
the cloud storage module is used for storing the classified data;
and the data calling module is used for calling the storage data in the cloud storage module, and performing data identification calling through the coding identification during calling.
Further, the classification processing module comprises:
creating a data verification model; wherein,
the data verification model comprises a data confirmation area and a data identification area; wherein,
the data identification area comprises all data which can be transmitted by the network;
the data confirmation area comprises the following data identification confirmation processes:
confirming the data types of all data for data transmission and distinguishing the data types into different subunit architectures;
determining subunit architectures of each data of the data storage layer according to the data types, generating a mapping relation between a data verification field and a preset field value corresponding to the data verification field, and creating and obtaining the data verification model according to the mapping relation;
and acquiring all data in the verification model, and generating a coding identifier for the subunit architecture of each data, wherein the coding identifier of each data is a globally unique identifier.
Furthermore, the data retrieval module retrieves data to be transmitted, and the retrieval is realized by retrieving and selecting the coding identifier sent by the remote terminal, acquiring a set of the coding identifier in each selected data in the cloud storage module, and merging the sets of the coding identifiers in each data, wherein the merging includes all the coding identifiers in all the data.
Further, the data scheduling layer comprises a data encryption module, a data transmission module and a data decoding module;
the data encryption module is used for encrypting data to be transmitted;
the data transmission module is used for carrying out network transmission on the selected and called data file and transmitting the data file to the remote terminal through the Internet by the storage base station;
and the data decoding module is used for decoding the data after transmission.
Further, the data encryption module comprises:
creating an encryption group; wherein,
taking data to be transmitted as a whole, dividing the data into different encryption groups according to the size of the data, and establishing a cipher group based on the encryption groups;
establishing the same number of password groups according to the number of the encryption groups;
using the password group as the main password sequence of the program to establish the main password sequence program;
adjusting the first position of each encryption group on the corresponding line of the main password sequence program based on a preset interference factor, and performing first encryption on the encryption group after the adjustment is finished to obtain an interference password and generate a random password number;
marking a second position separated from the first position by a random number in each line of the main password sequence program, sequentially inputting the interference passwords into the second position for second encryption, establishing an auxiliary password sequence program, performing third encryption on the auxiliary password sequence program, and acquiring an auxiliary password sequence program;
randomly generating a same type program based on the specification of the secondary password sequence program, marking the residual blank position on the secondary password sequence program, and overlapping the marked secondary password sequence program and the same type program to obtain the overlapping number generated by the marked position;
inputting the superposition number to the remaining blank position to obtain the full encryption program, extracting the data corresponding to each position in the second encryption program to obtain the encrypted data.
Further, the storage base station and the remote terminal comprise a PC, a communication device or a mobile phone which are connected through communication.
Further, the implementation layer comprises a server and a plurality of user terminals which can interact through network communication;
the server comprises a processor, wherein the processor stores instructions for realizing functions of a data scheduling layer and a data storage layer;
the user terminal is used for a user to log in the equipment terminal and realize data transmission between the plurality of remote terminals and the storage base station through the server.
Further, the data scheduling layer, which transmits and decodes the encrypted data, includes:
the data acquisition module is used for acquiring encrypted data obtained by encrypting data in the data storage layer, determining the data volume of the encrypted data based on the data attribute of the encrypted data, acquiring the data transmission channel volume between the storage base station and the remote terminal, and coupling each data transmission channel to a preset clock generator based on the data transmission channel volume;
the data dividing module is used for generating a reference clock based on a preset clock generator, determining the transmission frequency of each data transmission channel to the data blocks based on the reference clock, randomly dividing the encrypted data based on the data volume of the encrypted data to obtain N data blocks, and acquiring the communication address and the equipment type of the remote terminal based on the dividing result;
the transmission module is used for signing the N data blocks based on the communication address and the equipment type, summarizing the N data blocks and the preset interference data blocks based on the signing result and randomly sequencing to obtain the data blocks to be transmitted;
the transmission module is used for sequentially uploading the data blocks to be transmitted to a data transmission channel based on the transmission frequency and sequentially transmitting the data blocks to be transmitted to a remote terminal based on the transmission frequency;
the summarizing module is used for extracting a signature of the received data block to be transmitted based on the remote terminal, screening out target data based on an extraction result, and restoring the target data to obtain encrypted data;
the decryption module is used for acquiring an encryption rule of the data from the storage base station based on the remote terminal, calling a corresponding encryption key based on the encryption rule, and decrypting the encrypted data based on the encryption key to obtain original data;
the decoding module is used for extracting a data structure of the original data, determining an initial coding position in the original data based on the data structure, and splitting the original data into character string codes based on the initial coding position and a coding rule;
the decoding module is used for extracting the coding value corresponding to each character string code and matching the coding value with a preset character comparison table to obtain target data corresponding to each character string code;
and the data summarizing module is used for splicing the target data to obtain the data which is finally required to be received by the remote terminal, and completing the transmission and decoding of the data.
Further, in the data scheduling layer, transmitting data includes:
the data reading unit is used for reading the target transmission data, calculating a single-component main frequency characteristic value when the target transmission data is transmitted, meanwhile, calculating iterative formulas of the target transmission data in different transmission paths based on the single-component main frequency characteristic value when the target transmission data is transmitted, and performing iterative optimization for the transmission path of the target transmission data based on the iterative formulas of the target transmission data in different transmission paths, and specifically comprises:
the first calculation unit is used for calculating a single-component main frequency characteristic value when target transmission data are transmitted according to the following formula;
wherein,representing a single-component main frequency characteristic value when target transmission data are transmitted;representing a current point in time;denotes the firstTime values corresponding to the individual time points;represents the total amount of time;represents a scale factor and has the value range of (1.02, 1.03);representing a redundant data component when transmitting target transmission data;indicating an instantaneous frequency at which the target transmission data is transmitted to the receiving end;is shown inThe spectral width for transmitting the target transmission data under the time value corresponding to each time point;
the second calculation unit is used for calculating the iteration of the target transmission data in different transmission paths based on the single-component main frequency characteristic value when the target transmission data are transmitted;
wherein,representing the iteration formula of target transmission data in different transmission paths;representing the total number of paths;representing the amplitude of an envelope vector when target transmission data is transmitted;representing quantized feature coefficientsAnd the value range is (0.98, 1.02);
an optimization unit for:
performing iterative optimization on the transmission path of the target transmission data based on the iterative formula of the target transmission data in different transmission paths, and evaluating the transmission rate of the target transmission data based on the iterative optimization result;
when the transmission rate of the target transmission data reaches the specified standard, the iterative optimization of the transmission path of the target transmission data is completed.
Compared with the prior art, the invention has the beneficial effects that:
1. in the prior art, in the process of data transmission to a different-place network platform, verification is often required when an account number of the platform is logged in, and the login verification in different places is complicated, and meanwhile, the problem of verification failure may also exist, so that the login to the different-place network platform is troublesome and the data transmission is influenced.
2. In the prior art, in the process of data transmission of a remote network platform, data files are directly transmitted through a network, so that the data transmission safety is low, and the problem of data leakage is easily caused, thereby bringing potential safety hazards.
3. A data center transmission management system based on a remote network platform architecture is characterized in that a data transmission signal between a storage base station and a remote terminal is coupled with a preset clock generator, so that the transmission frequency of each data transmission channel is limited, encrypted data is divided, divided data blocks and preset interference data blocks are gathered and randomly arranged, the obtained data blocks to be transmitted are transmitted according to the transmission frequency, and finally the received data are decrypted by the remote terminal according to an encryption rule and the decrypted data are decoded, so that the remote terminal accurately and effectively receives the data of the storage base station, meanwhile, the safety of data transmission in the receiving process is guaranteed, and the accuracy and the reliability of the data received by the remote terminal are guaranteed.
4. By calculating the single-component main frequency characteristic value when the target transmission data is transmitted, the iterative formulas of the target transmission data in different transmission paths are accurately calculated, iterative optimization of the transmission paths of the target transmission data is further realized, efficient transmission of the target transmission data is facilitated, and the data transmission efficiency is improved.
Drawings
Fig. 1 is a schematic diagram of the overall system module of the present invention.
FIG. 2 is a block diagram of a data storage layer module according to the present invention.
FIG. 3 is a block diagram of a data scheduling layer according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a data center transmission management system based on a remote network platform architecture includes a storage base station, a remote terminal, a data storage layer, a data scheduling layer, and an implementation layer;
the storage base station is used for performing cloud storage and data calling and transmission on data; the remote terminal is used for receiving the data stored at the cloud end, and the storage base station and the remote terminal comprise a PC, communication equipment or a mobile phone which are connected through communication; the data storage layer is used for carrying out classification processing, cloud storage and data retrieval on data in the storage base station; the data scheduling layer is used for encrypting, transmitting and decoding data in the data storage layer; and the implementation layer is used for carrying the data scheduling layer and the data storage layer, controlling the transmission management system, sending and receiving the transmitted data, and realizing signal interactive connection with the data scheduling layer and the data storage layer through a network. The implementation layer comprises a server and a plurality of user terminals which can interact through network communication; the server comprises a processor, wherein the processor stores instructions for realizing functions of a data scheduling layer and a data storage layer; the user terminal is used for a user to log in the equipment terminal and realize data transmission between the plurality of remote terminals and the storage base station through the server.
Specifically, when data are stored at the cloud, module classification processing analysis is carried out on the data in a centralized mode, a plurality of subunit frameworks are formed, each subunit is provided with an independent coding identification, when data transmission is carried out on a network platform at a different place, corresponding coding is input during data calling, calling transmission can be carried out, meanwhile, in the data transmission process, data are encrypted and transmitted, the system carries out quick reading transmission according to the coding, and the verification process required by login at the different place is saved while the safety is guaranteed.
In order to solve the technical problems that in the process of data transmission of a remote network platform, authentication is often required when an account number of the platform is logged in, the remote login authentication is complicated, and the authentication fails, so that the remote network platform is logged in inconveniently and the data transmission is affected, please refer to fig. 2, the invention provides the following technical scheme:
the data storage layer comprises a classification processing module, a cloud storage module and a data calling module;
the classification processing module is used for carrying out module classification processing analysis on the data to form a plurality of subunit architectures and generating an independent coding identifier for each subunit, wherein the coding identifier is used for inputting and using when the data is called from different places; the cloud storage module is used for storing the classified data; and the data calling module is used for calling the storage data in the cloud storage module, and performing data identification calling through the coding identification during calling.
The classification processing module comprises:
creating a data verification model; wherein,
the data verification model comprises a data confirmation area and a data identification area; wherein,
the data identification area comprises all data which can be transmitted by the network;
the data confirmation area comprises the following data identification confirmation processes:
confirming the data types of all data for data transmission and distinguishing the data types into different subunit architectures;
determining a subunit architecture of each data of the data storage layer according to the data type, generating a mapping relation between a data verification field and a preset field value corresponding to the data verification field, and creating and obtaining the data verification model according to the mapping relation;
and acquiring all data in the verification model, and generating a coding identifier for the subunit architecture of each data, wherein the coding identifier of each data is a globally unique identifier.
The data retrieval module retrieves data needing transmission work, the retrieval is realized by retrieving and selecting the coding identification sent by a remote terminal, a set of the coding identification in each selected data in the cloud storage module is obtained, and a union set of the coding identifications in each data is obtained, wherein the union set comprises all the coding identifications in all the data.
Specifically, when data are stored, a data verification model is generated through a classification processing module, so that the data are subjected to centralized processing through the data verification model, the data are subjected to module classification processing and analysis in a centralized manner to form a plurality of subunit architectures, each subunit has an independent coding identifier, a corresponding code is input when the data are called in different places, a data file corresponding to the coding identifier can be called in different places, the system performs quick reading and transmission according to the code, and the verification process required by login in different places is saved while the safety is guaranteed.
In order to solve the technical problems that in the process of data transmission of a remote network platform, data files are directly transmitted through a network, so that the data transmission safety is low, data leakage is easily caused, and potential safety hazards are caused, please refer to fig. 3, the invention provides the following technical scheme:
the data scheduling layer comprises a data encryption module, a data transmission module and a data decoding module;
the data encryption module is used for encrypting data to be transmitted; the data transmission module is used for carrying out network transmission on the selected and called data file and transmitting the data file to a remote terminal through the Internet from the storage base station; and the data decoding module is used for decoding the data after transmission.
The data encryption module includes:
creating an encryption group; wherein,
taking data to be transmitted as a whole, dividing the data into different encryption groups according to the size of the data, and establishing a cipher group based on the encryption groups;
establishing the same number of password groups according to the number of the encryption groups;
using the password group as the main password sequence of the program to establish the main password sequence program;
adjusting the first position of each encryption group on the corresponding line of the main password sequence program based on a preset interference factor, and performing first encryption on the encryption group after the adjustment is finished to obtain an interference password and generate a random password number;
marking a second position separated from the first position by a random number in each line of the main password sequence program, sequentially inputting the interference passwords into the second position for second encryption, establishing an auxiliary password sequence program, performing third encryption on the auxiliary password sequence program, and acquiring an auxiliary password sequence program;
randomly generating a same type program based on the specification of the secondary password sequence program, marking the residual blank position on the secondary password sequence program, and overlapping the marked secondary password sequence program and the same type program to obtain the overlapping number generated by the marked position;
inputting the superposition number to the remaining blank position to obtain the full encryption program, and extracting the data corresponding to each position in the second encryption program to obtain the encrypted data.
Specifically, the in-process that the different place network platform carries out data transmission, encrypt the data that need carry out network transmission, can accomplish decoding and the encryption of data in data transmission's in-process synchronization, generate different password orders according to different data when carrying out encryption transmission to data, the password order is changeable, thereby the data of having avoided of very big degree take place data leakage when carrying out the interaction, data decryption mode is changeable, be difficult to carry out quick decoding through fixed decoding form, thereby make to extract fast data and obtain the safety guarantee, the condition that the in-process that avoids taking place data transmission takes place data leakage or is stolen.
Specifically, the data scheduling layer, which transmits and decodes the encrypted data, includes:
the data acquisition module is used for acquiring encrypted data obtained by encrypting data in the data storage layer, determining the data volume of the encrypted data based on the data attribute of the encrypted data, acquiring the data transmission channel volume between the storage base station and the remote terminal, and coupling each data transmission channel to a preset clock generator based on the data transmission channel volume;
the data dividing module is used for generating a reference clock based on a preset clock generator, determining the transmission frequency of each data transmission channel to the data blocks based on the reference clock, randomly dividing the encrypted data based on the data volume of the encrypted data to obtain N data blocks, and acquiring the communication address and the equipment type of the remote terminal based on the dividing result;
the transmission module is used for signing the N data blocks based on the communication address and the equipment type, summarizing the N data blocks and the preset interference data blocks based on the signing result and randomly sequencing to obtain the data blocks to be transmitted;
the transmission module is used for sequentially uploading the data blocks to be transmitted to a data transmission channel based on the transmission frequency and sequentially transmitting the data blocks to be transmitted to the different-place terminal based on the transmission frequency;
the summarizing module is used for extracting a signature of the received data block to be transmitted based on the remote terminal, screening out target data based on an extraction result, and restoring the target data to obtain encrypted data;
the decryption module is used for acquiring an encryption rule of the data from the storage base station based on the remote terminal, calling a corresponding encryption key based on the encryption rule, and decrypting the encrypted data based on the encryption key to obtain original data;
the decoding module is used for extracting a data structure of the original data, determining an initial coding position in the original data based on the data structure, and splitting the original data into character string codes based on the initial coding position and a coding rule;
the decoding module is used for extracting the coding value corresponding to each character string code and matching the coding value with a preset character comparison table to obtain target data corresponding to each character string code;
and the data summarizing module is used for splicing the target data to obtain the data which is finally required to be received by the remote terminal, and completing the transmission and decoding of the data.
In this embodiment, the encrypted data may be data obtained by encrypting data inside the data storage layer.
In this embodiment, the data attribute may be the amount of data bytes characterizing the encrypted data, the data type, and the like.
In this embodiment, the predetermined clock generator is preset to generate a clock signal for providing a data transmission frequency for each data transmission channel.
In this embodiment, the reference clock is periodic and is used to characterize the word time interval for each data transmission channel for data transmission.
In this embodiment, the transmission frequency may be a characteristic of the number of transmissions of a data block per data transmission channel per unit time.
In this embodiment, the random division may be an equal division of the encrypted data, and the amount of data in each data block is determined randomly, so as to ensure the transmission security and reliability of the encrypted data.
In this embodiment, the data block refers to a data fragment obtained by splitting encrypted data.
In this embodiment, the signature means to mark each data block according to the communication address and the device type of the remote terminal, so that the remote terminal can check and splice the received data blocks conveniently.
In this embodiment, the preset interference data block is set in advance, and is used for doping the middle of the data block when the data block of the encrypted data is transmitted through the data transmission channel, so as to ensure the transmission security of the encrypted data.
In this embodiment, the data block to be transmitted may be a data segment to be transmitted, which is obtained by mixing a data block obtained by dividing the encrypted data with a preset interference data block.
In this embodiment, the signature extraction performed on the received data block to be transmitted based on the remote terminal may be performed by extracting signature information of each data block through the remote terminal, so that the remote terminal can splice the received data conveniently.
In this embodiment, the target data may be a data block to be received, which is obtained by removing a preset interference data block from a received data block to be transmitted by the remote terminal.
In this embodiment, the encryption rule may be an encryption policy or an encryption method for encrypting data to be transmitted by the storage base station.
In this embodiment, the encryption key may be an encryption tool for encrypting data of the storage base station, encryption data used for encryption, and the like.
In this embodiment, the original data may be data before encryption obtained by decrypting the encrypted data.
In this embodiment, the data structure may be a data association relationship of the original data, and a word segmentation relationship, a segmentation relationship, and the like of the original data.
In this embodiment, the start encoding position may be encoding start information corresponding to the original data.
In this embodiment, the encoding rule is set in advance, and specifically, the encoding rule may be a set of 6 binary numbers or other rules.
In this embodiment, the character string encoding may be a plurality of sets of encoded data obtained by splitting the original data according to an encoding rule, that is, each set of encoded data corresponds to one data.
In this embodiment, the encoded value may be a specific value corresponding to the string code, and may specifically be a value of a binary number.
In this embodiment, the preset character comparison table is set in advance and is used for recording specific data contents corresponding to different codes.
In this embodiment, the target data may be specific data corresponding to different character string codes.
The working principle and the beneficial effects of the technical scheme are as follows: the data transmission signal between the storage base station and the remote terminal is coupled with the preset clock generator, so that the transmission frequency of each data transmission channel is limited, the encrypted data is divided, the divided data blocks and the preset interference data blocks are gathered and randomly arranged, the obtained data blocks to be transmitted are transmitted according to the transmission frequency, the received data are decrypted by the remote terminal according to the encryption rule, and the decrypted data are decoded, so that the remote terminal can accurately and effectively receive the data of the storage base station, meanwhile, the safety of data transmission in the receiving process is guaranteed, and the accuracy and the reliability of the data received by the remote terminal are guaranteed.
Specifically, in the data scheduling layer, transmitting data includes:
the data reading unit is used for reading the target transmission data, calculating a single-component main frequency characteristic value when the target transmission data is transmitted, meanwhile, calculating iterative formulas of the target transmission data in different transmission paths based on the single-component main frequency characteristic value when the target transmission data is transmitted, and performing iterative optimization for the transmission path of the target transmission data based on the iterative formulas of the target transmission data in different transmission paths, and specifically comprises:
the first calculation unit is used for calculating a single-component main frequency characteristic value when target transmission data are transmitted according to the following formula;
wherein,representing a single-component main frequency characteristic value when target transmission data are transmitted;representing a current point in time;is shown asTime values corresponding to the time points;represents the total amount of time;the scale factor is expressed, and the value range is (1.02, 1.03);representing a redundant data component when transmitting target transmission data;indicating an instantaneous frequency at which the target transmission data is transmitted to the receiving end;is shown inThe spectral width for transmitting the target transmission data under the time value corresponding to each time point;
the second calculation unit is used for calculating the iteration of the target transmission data in different transmission paths based on the single-component main frequency characteristic value when the target transmission data are transmitted;
wherein,representing the iteration formula of target transmission data in different transmission paths;representing the total number of paths;representing the amplitude of an envelope vector when target transmission data is transmitted;representing the quantization characteristic coefficient, and the value range is (0.98, 1.02);
an optimization unit for:
performing iterative optimization on the transmission path of the target transmission data based on the iterative formula of the target transmission data in different transmission paths, and evaluating the transmission rate of the target transmission data based on the iterative optimization result;
when the transmission rate of the target transmission data reaches the specified standard, the iterative optimization of the transmission path of the target transmission data is completed.
In this embodiment, the predetermined criterion may be setting a target transmission rate threshold, and therefore, by comparing the transmission rate of the target transmission data with the target transmission rate threshold, when the transmission rate of the target transmission data is equal to or greater than the target transmission rate threshold, it is determined that the transmission rate of the target transmission data reaches the predetermined criterion;
otherwise, the transmission rate of the target transmission data is judged not to reach the specified standard.
The target transmission rate threshold is obtained through a plurality of experiments.
In this embodiment, the target transfer data may be data to be transferred inside the data storage layer.
The working principle and the beneficial effects of the technical scheme are as follows: by calculating the single-component dominant frequency characteristic value when the target transmission data is transmitted, the iterative formulas of the target transmission data in different transmission paths are accurately calculated, iterative optimization of the transmission paths of the target transmission data is further realized, efficient transmission of the target transmission data is facilitated, and the data transmission efficiency is improved.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered as the technical solutions and the inventive concepts of the present invention within the technical scope of the present invention.
Claims (10)
1. A data center transmission management system based on a remote network platform architecture is characterized in that: the system comprises a storage base station, a remote terminal, a data storage layer, a data scheduling layer and an implementation layer;
the storage base station is used for performing cloud storage and data calling transmission on data;
the remote terminal is used for receiving the data stored in the cloud end;
the data storage layer is used for carrying out classification processing, cloud storage and data retrieval on data in the storage base station;
the data scheduling layer is used for encrypting, transmitting and decoding data in the data storage layer;
the implementation layer is used for carrying the data scheduling layer and the data storage layer, controlling the transmission management system and sending and receiving the transmitted data, and the implementation layer is in signal interactive connection with the data scheduling layer and the data storage layer through a network.
2. The data center transmission management system based on the allopatric network platform architecture as claimed in claim 1, wherein: the data storage layer comprises a classification processing module, a cloud storage module and a data calling module;
the classification processing module is used for carrying out module classification processing analysis on the data to form a plurality of subunit architectures, and generating an independent coding identifier for each subunit, wherein the coding identifier is used for inputting and using when the data is called from different places;
the cloud storage module is used for storing the classified data;
and the data calling module is used for calling the storage data in the cloud storage module, and performing data identification calling through the coding identification during calling.
3. The data center transmission management system based on the allopatric network platform architecture, as set forth in claim 2, wherein: the classification processing module comprises:
creating a data verification model; wherein,
the data verification model comprises a data confirmation area and a data identification area; wherein,
the data identification area comprises all data which can be transmitted by the network;
the data confirmation area comprises the following data identification confirmation processes:
confirming the data types of all data for data transmission and distinguishing the data types into different subunit architectures;
determining a subunit architecture of each data of the data storage layer according to the data type, generating a mapping relation between a data verification field and a preset field value corresponding to the data verification field, and creating and obtaining the data verification model according to the mapping relation;
and acquiring all data in the verification model, and generating a coding identifier for the subunit architecture of each data, wherein the coding identifier of each data is a globally unique identifier.
4. The data center transmission management system based on the allopatric network platform architecture as claimed in claim 3, wherein: the data retrieval module retrieves data needing transmission work, the retrieval is realized by retrieving and selecting the coding identification sent by a remote terminal, a set of the coding identification in each selected data in the cloud storage module is obtained, the set of the coding identification in each data is merged, and the merged set comprises all the coding identifications in all the data.
5. The data center transmission management system based on the allopatric network platform architecture as claimed in claim 1, wherein: the data scheduling layer comprises a data encryption module, a data transmission module and a data decoding module;
the data encryption module is used for encrypting data to be transmitted;
the data transmission module is used for carrying out network transmission on the selected and called data file and transmitting the data file to a remote terminal through the Internet by the storage base station;
and the data decoding module is used for decoding the data after transmission.
6. The data center transmission management system based on the allopatric network platform architecture as claimed in claim 5, wherein: the data encryption module comprises:
creating an encryption group; wherein,
taking data to be transmitted as a whole, dividing the data into different encryption groups according to the size of the data, and establishing a cipher group based on the encryption groups;
establishing the same number of password groups according to the number of the encryption groups;
using the password group as the main password sequence of the program to establish the main password sequence program;
adjusting the first position of each encryption group on the corresponding line of the main password sequence program based on a preset interference factor, and performing first encryption on the encryption group after the adjustment is finished to obtain an interference password and generate a random password number;
marking a second position separated from the first position by a random number in each line of the main password sequence program, sequentially inputting the interference passwords to the second position for second encryption, establishing an auxiliary password sequence program, and performing third encryption on the auxiliary password sequence program to obtain an auxiliary password sequence program;
randomly generating a same type program based on the specification of the secondary password sequence program, marking the residual blank position on the secondary password sequence program, and overlapping the marked secondary password sequence program and the same type program to obtain the overlapping number generated by the marked position;
inputting the superposition number to the remaining blank position to obtain the full encryption program, and extracting the data corresponding to each position in the second encryption program to obtain the encrypted data.
7. The data center transmission management system based on the allopatric network platform architecture, as set forth in claim 1, wherein: the storage base station and the remote terminal comprise a PC, communication equipment or a mobile phone which are connected through communication.
8. The data center transmission management system based on the allopatric network platform architecture as claimed in claim 1, wherein: the implementation layer comprises a server and a plurality of user terminals which can interact through network communication;
the server comprises a processor, wherein the processor stores instructions for realizing functions of a data scheduling layer and a data storage layer;
the user terminal is used for a user to log in the equipment terminal and realize data transmission between the plurality of remote terminals and the storage base station through the server.
9. The data center transmission management system based on the allopatric network platform architecture as claimed in claim 1, wherein: the data scheduling layer, which transmits and decodes the encrypted data, includes:
the data acquisition module is used for acquiring encrypted data obtained by encrypting data in the data storage layer, determining the data volume of the encrypted data based on the data attribute of the encrypted data, acquiring the data transmission channel volume between the storage base station and the remote terminal, and coupling each data transmission channel to a preset clock generator based on the data transmission channel volume;
the data dividing module is used for generating a reference clock based on a preset clock generator, determining the transmission frequency of each data transmission channel to the data blocks based on the reference clock, randomly dividing the encrypted data based on the data volume of the encrypted data to obtain N data blocks, and acquiring the communication address and the equipment type of the remote terminal based on the dividing result;
the transmission module is used for signing the N data blocks based on the communication address and the equipment type, summarizing the N data blocks and the preset interference data blocks based on the signing result and randomly sequencing to obtain the data blocks to be transmitted;
the transmission module is used for sequentially uploading the data blocks to be transmitted to a data transmission channel based on the transmission frequency and sequentially transmitting the data blocks to be transmitted to the different-place terminal based on the transmission frequency;
the summarizing module is used for extracting a signature of the received data block to be transmitted based on the remote terminal, screening out target data based on an extraction result, and restoring the target data to obtain encrypted data;
the decryption module is used for acquiring an encryption rule of the data from the storage base station based on the remote terminal, calling a corresponding encryption key based on the encryption rule, and decrypting the encrypted data based on the encryption key to obtain original data;
the decoding module is used for extracting a data structure of the original data, determining an initial coding position in the original data based on the data structure, and splitting the original data into character string codes based on the initial coding position and a coding rule;
the decoding module is used for extracting the coding value corresponding to each character string code and matching the coding value with a preset character comparison table to obtain target data corresponding to each character string code;
and the data summarizing module is used for splicing the target data to obtain the data which is finally required to be received by the remote terminal, and completing the transmission and decoding of the data.
10. The data center transmission management system based on the allopatric network platform architecture as claimed in claim 1, wherein the data scheduling layer transmits data, comprising:
the data reading unit is used for reading the target transmission data, calculating a single-component main frequency characteristic value when the target transmission data is transmitted, meanwhile, calculating iterative formulas of the target transmission data in different transmission paths based on the single-component main frequency characteristic value when the target transmission data is transmitted, and performing iterative optimization for the transmission path of the target transmission data based on the iterative formulas of the target transmission data in different transmission paths, and specifically:
the first calculation unit is used for calculating a single-component main frequency characteristic value when target transmission data are transmitted according to the following formula;
wherein,representing a single-component main frequency characteristic value when target transmission data are transmitted;representing a current point in time;is shown asTime values corresponding to the time points;represents the total amount of time;represents a scale factor and has the value range of (1.02, 1.03);representing a redundant data component when transmitting target transmission data;indicating an instantaneous frequency at which the target transmission data is transmitted to the receiving end;is shown inA point pair of timeThe spectral width for transmitting the target transmission data under the corresponding time value;
the second calculation unit is used for calculating the iterative formulas of the target transmission data in different transmission paths based on the single-component main frequency characteristic value when the target transmission data are transmitted;
wherein,representing the iteration formula of target transmission data in different transmission paths;representing the total number of paths;representing the amplitude of an envelope vector when target transmission data is transmitted;representing the quantization characteristic coefficient, and the value range is (0.98, 1.02);
an optimization unit for:
performing iterative optimization on the transmission path of the target transmission data based on the iterative formula of the target transmission data in different transmission paths, and evaluating the transmission rate of the target transmission data based on the iterative optimization result;
when the transmission rate of the target transmission data reaches the specified standard, the iterative optimization of the transmission path of the target transmission data is completed.
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116233247A (en) * | 2023-04-25 | 2023-06-06 | 合肥智鼎科技服务有限公司 | Data transmission processing system with preprocessing performance |
CN116346284A (en) * | 2023-03-08 | 2023-06-27 | 戚建民 | Network information judging system based on data mapping |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2004054745A (en) * | 2002-07-23 | 2004-02-19 | Sony Corp | Information processing device, secondary delivery content generation method, information processing method and computer program |
CN101902477A (en) * | 2010-07-26 | 2010-12-01 | 北京邦天信息技术有限公司 | Transmitting system, receiving system and media stream identification method and system |
RU2016104815A (en) * | 2016-02-12 | 2017-08-17 | Федеральное государственное бюджетное учреждение науки Институт конструкторско-технологической информатики Российской академии наук (ИКТИ РАН) | CLOSED KEY BLOCK ENCRYPTION METHOD |
CN112491549A (en) * | 2020-12-08 | 2021-03-12 | 平安国际智慧城市科技股份有限公司 | Data information encryption verification method, system and computer readable storage medium |
CN115409453A (en) * | 2022-11-02 | 2022-11-29 | 深圳市中农网有限公司 | Commodity transaction data processing method and system based on online and offline combination |
CN115421656A (en) * | 2022-08-30 | 2022-12-02 | 苏州浪潮智能科技有限公司 | Data access management method, device, terminal and medium in storage server |
-
2022
- 2022-12-21 CN CN202211733199.XA patent/CN115695051B/en active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2004054745A (en) * | 2002-07-23 | 2004-02-19 | Sony Corp | Information processing device, secondary delivery content generation method, information processing method and computer program |
CN101902477A (en) * | 2010-07-26 | 2010-12-01 | 北京邦天信息技术有限公司 | Transmitting system, receiving system and media stream identification method and system |
RU2016104815A (en) * | 2016-02-12 | 2017-08-17 | Федеральное государственное бюджетное учреждение науки Институт конструкторско-технологической информатики Российской академии наук (ИКТИ РАН) | CLOSED KEY BLOCK ENCRYPTION METHOD |
CN112491549A (en) * | 2020-12-08 | 2021-03-12 | 平安国际智慧城市科技股份有限公司 | Data information encryption verification method, system and computer readable storage medium |
CN115421656A (en) * | 2022-08-30 | 2022-12-02 | 苏州浪潮智能科技有限公司 | Data access management method, device, terminal and medium in storage server |
CN115409453A (en) * | 2022-11-02 | 2022-11-29 | 深圳市中农网有限公司 | Commodity transaction data processing method and system based on online and offline combination |
Non-Patent Citations (1)
Title |
---|
潘越伟: ""网络中资源数据传输效率优化数学模型仿真"" * |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116346284A (en) * | 2023-03-08 | 2023-06-27 | 戚建民 | Network information judging system based on data mapping |
CN116346284B (en) * | 2023-03-08 | 2023-10-10 | 湖北华中电力科技开发有限责任公司 | Network information judging system based on data mapping |
CN116233247A (en) * | 2023-04-25 | 2023-06-06 | 合肥智鼎科技服务有限公司 | Data transmission processing system with preprocessing performance |
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