CN111339564A - Cloud service analysis management system based on big data - Google Patents
Cloud service analysis management system based on big data Download PDFInfo
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Abstract
The invention discloses a cloud service analysis management system based on big data, which is used for solving the problems that the existing cloud service technology can not be allocated into corresponding cloud storage equipment for storage according to the backup grade and the number of users, and the user files are lost due to the failure or damage of the cloud storage equipment, so that certain safety problems exist; the system comprises a data acquisition module, a cloud server, a cloud service analysis module, a registration and login module, a data distribution module, a data encryption module, a service management module, a file statistics module and a file query module; according to the method and the device, the user files are transcoded and encrypted and are distributed into the corresponding cloud storage equipment for storage according to the backup grade input by the user, so that the storage safety of the user files is improved; and counting the viewing times of the user files by the user, so as to calculate the new backup grade value of the user, and further transfer the user files to the corresponding cloud storage equipment for storage.
Description
Technical Field
The invention relates to the technical field of cloud service analysis management, in particular to a cloud service analysis management system based on big data.
Background
Cloud services are an augmentation, usage, and interaction model for internet-based related services, typically involving the provision of dynamically scalable and often virtualized resources over the internet. Cloud is a metaphor of network and internet. In the past, telecommunications networks were often represented by clouds and later also by the abstraction of the internet and the underlying infrastructure. The cloud service means that a required service is obtained through a network in an on-demand and easily-extensible manner. Such services may be IT and software, internet related, or other services. It means that computing power can also be streamed over the internet as a commodity;
with the increasing popularity of cloud services, users often use cloud services to provide better services for themselves. The existing cloud service technology cannot be allocated into corresponding cloud storage equipment for storage according to the backup grade and the number of users, and the user files are lost due to the fact that the cloud storage equipment is broken or damaged, so that certain safety problems exist.
Disclosure of Invention
The invention aims to provide a cloud service analysis and management system based on big data, which is used for solving the problems that the existing cloud service technology cannot be allocated into corresponding cloud storage equipment for storage according to the backup grade and the number of users, and the user files are lost due to the failure or damage of the cloud storage equipment, so that certain safety problems exist; the data distribution module sends a file to be distributed and the number of the selected storage device to the cloud server, and the cloud server sends the file to be distributed to the selected storage device for storage after receiving the file to be distributed and the number of the selected storage device; the user file is transcoded and encrypted, and the user file is distributed into the corresponding cloud storage equipment for storage according to the backup grade input by the user, so that the storage safety of the user file is improved; the file counting module is used for counting the checking times of the user for checking the user file through the query module and sending the user file and the checking times to the service management module; the service management module is used for managing user files viewed by a user, and after receiving the serial number of the new cloud storage device, the service management module sends the user files from the originally stored cloud storage device to the new cloud storage device for storage; counting the number of times that a user views a user file, so as to calculate a new backup grade value of the user, and further transferring the user file to a corresponding cloud storage device for storage;
the purpose of the invention can be realized by the following technical scheme: a cloud service analysis management system based on big data comprises a data acquisition module, a cloud server, a cloud service analysis module, a registration login module, a data distribution module, a data encryption module, a service management module, a file statistics module and a file query module;
the data acquisition module is used for acquiring equipment information of the cloud storage equipment and sending the equipment information to the cloud server;
the data encryption module is used for submitting a user file through terminal equipment by a user and encrypting the user file, and the specific processing steps are as follows:
the method comprises the following steps: a user sets a conversion code corresponding to a character through terminal equipment and sends the conversion code to a data encryption module for storage;
step two: acquiring a file name of a user file, wherein the file name consists of a subject name, a point and a suffix name of the file, matching the file name with a conversion code stored in a data encryption module, and converting the file name by the conversion code to obtain a conversion name;
step three: the data encryption module replaces the obtained conversion name with the file name of the user file, and marks the user file as a conversion file;
step four: the data encryption module encrypts the conversion file to obtain a conversion encryption file and sends the conversion encryption file to the data distribution module;
the data distribution module receives the converted encrypted file sent by the data encryption module and performs distribution processing, and the specific processing steps are as follows:
s1: the data distribution module sends a backup instruction to the terminal equipment of the user corresponding to the conversion encrypted file, and the user inputs the backup quantity and the backup grade to the data distribution module through the terminal equipment;
s2: backing up the converted encrypted files, wherein the backup quantity is the backup quantity input by a user through terminal equipment; marking the conversion encrypted file and the backup conversion encrypted file as files to be distributed, and using a symbol Wi to represent the files, wherein i is 1, … … and n;
s3: distributing a file W1 to be distributed, and marking the cloud storage devices as Pj, j being 1, … … and n; setting the cloud value of the cloud storage device as YPj(ii) a Setting a backup level as Dk; k is 1, … …, 10; the backup level corresponds to a value range, and is marked as YDk；
S4, marking the backup grade input by the user as Da, a ∈ k, and marking the value range corresponding to the backup grade of the user as YDa(ii) a Storing value and backup grade Y of cloud storage equipmentDaPerforming matching when YPj∈YDaThen the cloud storage device is marked as a preferred storage device, denoted by the symbol Pq, q ∈ j;
s5: the cloud value of the preferred storage device is then denoted as YPq(ii) a Setting the storage quantity of the preferred storage equipment for storing the user as MPq(ii) a Using formulas
Obtaining a selected value X for a preferred storage devicePq(ii) a Wherein b1 and b2 are both preset proportionality coefficients; selecting the preferred storage device with the maximum selected value as the selected storage device, sending the file W1 to be distributed and the number of the selected storage device into the cloud server by the data distribution module, and sending the file W1 to be distributed into the selected storage device for storage after the cloud server receives the file W1 to be distributed and the number of the selected storage device; simultaneously, the storage quantity of the selected storage equipment for storing the user is increased by one;
s6: and sequentially carrying out selected value calculation on the files W2, … … and Wi to be distributed through S5, and distributing the files to the corresponding cloud storage devices for storage.
Preferably, the cloud service analysis module is configured to acquire device information in a cloud server and perform cloud value storage calculation, and the specific calculation steps are as follows:
the method comprises the following steps: setting all CPU models to correspond to a performance value, matching the CPU models of the cloud storage equipment with all the CPU models, and marking the obtained corresponding performance value as NPj；
Step two:calculating the time difference between the installation time of the cloud storage equipment and the current time of the system to obtain the installation time length, and marking the installation time length as TAPj；
Step three: setting the storage space of the cloud storage device as U1Pj(ii) a The remaining storage size of the storage space of the cloud storage device is recorded as U2Pj(ii) a The number of times of failure of the cloud storage device is recorded as GPj；
Step four: obtaining maintenance time corresponding to the failure of the cloud storage equipment, selecting the maintenance time which is the latest time from the current time of the system, calculating the time difference to obtain the latest maintenance duration, and marking the latest maintenance duration as TBPj；
Step five: using formulas
Obtaining cloud stored value Y of a cloud storage devicePj(ii) a Wherein d1, d2, d3, d4, d5 and d6 are all preset proportionality coefficients; mu is an error correction factor, and the value of mu is 0.8637541;
step six: and the cloud service analysis module sends the cloud stored value to the cloud server for storage.
Preferably, the device information includes the serial number of the cloud storage device, the CPU model, the installation time, the storage space, the remaining storage size, the location of the cloud storage device, the number of times of failure, and the corresponding maintenance time; the terminal equipment is a smart phone, a tablet computer or a computer; the user file is a single file or a single compressed file;
the registration login module is used for submitting registration information through the terminal equipment by a user and sending the registration information which is successfully registered into the server for storage, wherein the registration information comprises a name, a registration account and a registration password; and marking the time when the user is successfully registered as the registration time.
Preferably, the file query module is used for a user to query the user file through the terminal device, and the specific query steps are as follows:
SS 1: a user inputs a registration account and a registration password to a file query module through terminal equipment, the file query module receives the registration account and the registration password, obtains a user file name stored by the user in a file encryption module through the registration account, and sends the name of the user file to the terminal equipment of the user;
SS 2: a user clicks a corresponding user file through terminal equipment, generates a query instruction of the user file and simultaneously sends the query instruction to a file query module;
SS 3: the file query module receives the query instruction and then sends the query instruction to the data encryption module;
SS 4: after receiving the query instruction, the data encryption module performs conversion code conversion on the user file name corresponding to the query instruction to obtain a conversion name, processes the conversion name and sends the conversion name to the query module;
SS 5: the query module receives the conversion name and generates an extraction instruction of the conversion name, the query module sends the transcoding name and the corresponding extraction instruction to the cloud server, and the cloud server sends the conversion encrypted file corresponding to the transcoding name to the data encryption module from the corresponding cloud storage device after receiving the transcoding name and the corresponding extraction instruction;
SS 6: the data encryption module receives the converted encrypted file, decrypts the file and converts the converted code to obtain a user file, and sends the user file to the query module; a user checks and downloads a user file on the query module through terminal equipment;
the file counting module is used for counting the checking times of the user for checking the user file through the query module and sending the user file and the checking times to the service management module;
preferably, the service management module is configured to manage a user file viewed by a user, and the specific management steps include:
step one, setting user files as Wm, m ∈ i, and recording the corresponding viewing times of the user files as BWm；
Step two: acquiring the registration time of a user corresponding to the user file, and calculating the time difference between the registration time and the current time of the system to obtain registration duration; labeled as TC;
step three: using formula DWm＝BWmD7+ TC d8 obtaining the new backup value Y of the userWm(ii) a D7 and d8 are both preset proportionality coefficients, and the backup level of the user file initially stored by the user is Dm;
step four: using the summation formula D1Dm＝DWm+ Dm obtains the new backup level value D1 for the user's fileDm(ii) a The service management module sends the new backup grade value to the data distribution module, and the data distribution module sends the new backup grade value D1DmCalculating and distributing through S4 and S5 to obtain new cloud storage equipment, and sending the number of the new cloud storage equipment to a service management module;
step five: and after receiving the new cloud storage device number, the service management module sends the user file Wm from the originally stored cloud storage device to the new cloud storage device for storage.
Compared with the prior art, the invention has the beneficial effects that:
1. the data acquisition module acquires equipment information of the cloud storage equipment and sends the equipment information to the cloud server; the data encryption module is used for submitting a user file through the terminal equipment by a user and encrypting the user file, and the user sets a conversion code corresponding to a character through the terminal equipment and sends the conversion code to the data encryption module for storage; acquiring a file name of a user file, wherein the file name consists of a subject name, a point and a suffix name of the file, matching the file name with a conversion code stored in a data encryption module, and converting the file name by the conversion code to obtain a conversion name; the data encryption module replaces the obtained conversion name with the file name of the user file, and marks the user file as a conversion file; the data encryption module encrypts the conversion file to obtain a conversion encryption file and sends the conversion encryption file to the data distribution module; the data distribution module receives the converted encrypted file sent by the data encryption module and carries out distribution processing, the data distribution module sends a backup instruction to terminal equipment of a user corresponding to the converted encrypted file, and the user inputs the backup quantity and the backup grade to the data distribution module through the terminal equipment; backing up the converted encrypted files, wherein the backup quantity is the backup quantity input by a user through terminal equipment; marking the conversion encrypted file and the backed-up conversion encrypted file as files to be distributed, distributing the files to be distributed, and acquiring a selected value of the preferred storage equipment by using a formula; selecting the preferred storage device with the maximum selected value as a selected storage device, sending the file to be distributed and the number of the selected storage device into a cloud server by a data distribution module, and sending the file to be distributed into the selected storage device for storage after receiving the file to be distributed and the number of the selected storage device by the cloud server; the user file is transcoded and encrypted, and the user file is distributed into the corresponding cloud storage equipment for storage according to the backup grade input by the user, so that the storage safety of the user file is improved;
2. the file counting module is used for counting the checking times of the user for checking the user file through the query module and sending the user file and the checking times to the service management module; the service management module is used for managing the user files viewed by the user, acquiring the registration time of the user corresponding to the user files and calculating the time difference between the registration time and the current time of the system to obtain the registration duration; obtaining a new backup value of a user by using a formula; obtaining a new backup grade value of the user file by using a summation formula, sending the new backup grade value to a data distribution module by using a service management module, calculating and distributing the new backup grade value by using the data distribution module through S4 and S5 to obtain a new cloud storage device, and sending the number of the new cloud storage device to the service management module; after receiving the new cloud storage device number, the service management module sends the user file from the originally stored cloud storage device to the new cloud storage device for storage; and counting the viewing times of the user files by the user, so as to calculate the new backup grade value of the user, and further transfer the user files to the corresponding cloud storage equipment for storage.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
Fig. 1 is a schematic block diagram of a cloud service analysis management system based on big data according to the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood 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 cloud service analysis management system based on big data includes a data acquisition module, a cloud server, a cloud service analysis module, a registration login module, a data distribution module, a data encryption module, a service management module, a file statistics module, and a file query module;
the data acquisition module is used for acquiring equipment information of the cloud storage equipment and sending the equipment information to the cloud server;
the data encryption module is used for submitting user files through terminal equipment by a user and encrypting the user files, and the specific processing steps are as follows:
the method comprises the following steps: a user sets a conversion code corresponding to a character through terminal equipment and sends the conversion code to a data encryption module for storage;
step two: acquiring a file name of a user file, wherein the file name consists of a subject name, a point and a suffix name of the file, matching the file name with a conversion code stored in a data encryption module, and converting the file name by the conversion code to obtain a conversion name;
step three: the data encryption module replaces the obtained conversion name with the file name of the user file, and marks the user file as a conversion file;
step four: the data encryption module encrypts the conversion file to obtain a conversion encryption file and sends the conversion encryption file to the data distribution module;
the data distribution module receives the converted encrypted file sent by the data encryption module and performs distribution processing, and the specific processing steps are as follows:
s1: the data distribution module sends a backup instruction to the terminal equipment of the user corresponding to the conversion encrypted file, and the user inputs the backup quantity and the backup grade to the data distribution module through the terminal equipment;
s2: backing up the converted encrypted files, wherein the backup quantity is the backup quantity input by a user through terminal equipment; marking the conversion encrypted file and the backup conversion encrypted file as files to be distributed, and using a symbol Wi to represent the files, wherein i is 1, … … and n;
s3: distributing a file W1 to be distributed, and marking the cloud storage devices as Pj, j being 1, … … and n; setting the cloud value of the cloud storage device as YPj(ii) a Setting a backup level as Dk; k is 1, … …, 10; the backup level corresponds to a value range, and is marked as YDk；
S4, marking the backup grade input by the user as Da, a ∈ k, and marking the value range corresponding to the backup grade of the user as YDa(ii) a Storing value and backup grade Y of cloud storage equipmentDaPerforming matching when YPj∈YDaThen the cloud storage device is marked as a preferred storage device, denoted by the symbol Pq, q ∈ j;
s5: the cloud value of the preferred storage device is then denoted as YPq(ii) a Setting the storage quantity of the preferred storage equipment for storing the user as MPq(ii) a Using formulas
Obtaining a selected value X for a preferred storage devicePq(ii) a Wherein b1 and b2 are both preset proportionality coefficients; selecting the preferred storage device with the maximum selected value as the selected storage device, sending the file W1 to be distributed and the number of the selected storage device into the cloud server by the data distribution module, and sending the file W1 to be distributed into the selected storage device for storage after the cloud server receives the file W1 to be distributed and the number of the selected storage device; simultaneously, the storage quantity of the selected storage equipment for storing the user is increased by one;
s6: and sequentially carrying out selected value calculation on the files W2, … … and Wi to be distributed through S5, and distributing the files to the corresponding cloud storage devices for storage.
The cloud service analysis module is used for acquiring equipment information in the cloud server and carrying out cloud value storage calculation, and the specific calculation steps are as follows:
the method comprises the following steps: setting all CPU models to correspond to a performance value, matching the CPU models of the cloud storage equipment with all the CPU models, and marking the obtained corresponding performance value as NPj；
Step two: calculating the time difference between the installation time of the cloud storage equipment and the current time of the system to obtain the installation time length, and marking the installation time length as TAPj；
Step three: setting the storage space of the cloud storage device as U1Pj(ii) a The remaining storage size of the storage space of the cloud storage device is recorded as U2Pj(ii) a The number of times of failure of the cloud storage device is recorded as GPj；
Step four: obtaining maintenance time corresponding to the failure of the cloud storage equipment, selecting the maintenance time which is the latest time from the current time of the system, calculating the time difference to obtain the latest maintenance duration, and marking the latest maintenance duration as TBPj；
Step five: using formulas
Obtaining cloud stored value Y of a cloud storage devicePj(ii) a Wherein d1, d2, d3, d4, d5 and d6 are all preset proportionality coefficients; mu is an error correction factor, and the value of mu is 0.8637541;
step six: and the cloud service analysis module sends the cloud stored value to the cloud server for storage.
The equipment information comprises the serial number of the cloud storage equipment, the CPU model, the installation time, the storage space, the residual storage size, the position of the cloud storage equipment, the failure times and the corresponding maintenance time; the terminal equipment is a smart phone, a tablet computer or a computer; the user file is a single file or a single compressed file;
the registration login module is used for submitting registration information through the terminal equipment by a user and sending the registration information which is successfully registered into the server for storage, wherein the registration information comprises a name, a registration account and a registration password; and marking the time when the user is successfully registered as the registration time.
The file query module is used for a user to query the user file through the terminal equipment, and comprises the following specific query steps:
SS 1: a user inputs a registration account and a registration password to a file query module through terminal equipment, the file query module receives the registration account and the registration password, obtains a user file name stored by the user in a file encryption module through the registration account, and sends the name of the user file to the terminal equipment of the user;
SS 2: a user clicks a corresponding user file through terminal equipment, generates a query instruction of the user file and simultaneously sends the query instruction to a file query module;
SS 3: the file query module receives the query instruction and then sends the query instruction to the data encryption module;
SS 4: after receiving the query instruction, the data encryption module performs conversion code conversion on the user file name corresponding to the query instruction to obtain a conversion name, processes the conversion name and sends the conversion name to the query module;
SS 5: the query module receives the conversion name and generates an extraction instruction of the conversion name, the query module sends the transcoding name and the corresponding extraction instruction to the cloud server, and the cloud server sends the conversion encrypted file corresponding to the transcoding name to the data encryption module from the corresponding cloud storage device after receiving the transcoding name and the corresponding extraction instruction;
SS 6: the data encryption module receives the converted encrypted file, decrypts the file and converts the converted code to obtain a user file, and sends the user file to the query module; a user checks and downloads a user file on the query module through terminal equipment;
the file counting module is used for counting the checking times of the user for checking the user file through the query module and sending the user file and the checking times to the service management module;
the service management module is used for managing user files viewed by a user, and the specific management steps are as follows:
step one, setting user files as Wm, m ∈ i, and recording the corresponding viewing times of the user files as BWm；
Step two: acquiring the registration time of a user corresponding to the user file, and calculating the time difference between the registration time and the current time of the system to obtain registration duration; labeled as TC;
step three: using formula DWm＝BWmD7+ TC d8 obtaining the new backup value Y of the userWm(ii) a D7 and d8 are both preset proportionality coefficients, and the backup level of the user file initially stored by the user is Dm;
step four: using the summation formula D1Dm＝DWm+ Dm obtains the new backup level value D1 for the user's fileDm(ii) a The service management module sends the new backup grade value to the data distribution module, and the data distribution module sends the new backup grade value D1DmCalculating and distributing through S4 and S5 to obtain new cloud storage equipment, and sending the number of the new cloud storage equipment to a service management module;
step five: and after receiving the new cloud storage device number, the service management module sends the user file Wm from the originally stored cloud storage device to the new cloud storage device for storage.
The working principle of the invention is as follows: the data acquisition module acquires equipment information of the cloud storage equipment and sends the equipment information to the cloud server; the data encryption module is used for submitting a user file through the terminal equipment by a user and encrypting the user file, and the user sets a conversion code corresponding to a character through the terminal equipment and sends the conversion code to the data encryption module for storage; acquiring a file name of a user file, wherein the file name consists of a subject name, a point and a suffix name of the file, matching the file name with a conversion code stored in a data encryption module, and converting the file name by the conversion code to obtain a conversion name; the data encryption module replaces the obtained conversion name with the file name of the user file, and marks the user file as a conversion file; the data encryption module encrypts the conversion file to obtain a conversion encryption file and sends the conversion encryption file to the data distribution module; the data distribution module receives the converted encrypted file sent by the data encryption module and distributes the file, and the data distribution module sends a backup instruction to the data encryption moduleThe user inputs the backup quantity and the backup grade to the data distribution module through the terminal equipment on the terminal equipment of the user corresponding to the conversion encrypted file; backing up the converted encrypted files, wherein the backup quantity is the backup quantity input by a user through terminal equipment; marking the conversion encrypted file and the backup conversion encrypted file as files to be distributed, distributing the files to be distributed by using a formula
Obtaining a selected value X for a preferred storage devicePq(ii) a Selecting the preferred storage device with the maximum selected value as a selected storage device, sending the file to be distributed and the number of the selected storage device into the cloud server by the data distribution module, and sending the file to be distributed W1 to the selected storage device for storage after the cloud server receives the file to be distributed and the number of the selected storage device; the user file is transcoded and encrypted, and the user file is distributed into the corresponding cloud storage equipment for storage according to the backup grade input by the user, so that the storage safety of the user file is improved; the file counting module is used for counting the checking times of the user for checking the user file through the query module and sending the user file and the checking times to the service management module; the service management module is used for managing the user files viewed by the user, acquiring the registration time of the user corresponding to the user files and calculating the time difference between the registration time and the current time of the system to obtain the registration duration; using formula DWm＝BWmD7+ TC d8 obtaining the new backup value Y of the userWm(ii) a Using the summation formula D1Dm＝DWm+ Dm obtains the new backup grade value of the user file, the service management module sends the new backup grade value to the data distribution module, and the data distribution module sends the new backup grade value D1DmCalculating and distributing through S4 and S5 to obtain new cloud storage equipment, and sending the number of the new cloud storage equipment to a service management module; after receiving the new cloud storage device number, the service management module sends the user file Wm from the originally stored cloud storage device to the new cloud storage device for storage; by counting the number of times that the user views the user file, the new backup grade value of the user is calculated,and then transferring the user file to the corresponding cloud storage device for storage.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (5)
1. A cloud service analysis management system based on big data is characterized by comprising a data acquisition module, a cloud server, a cloud service analysis module, a registration login module, a data distribution module, a data encryption module, a service management module, a file statistics module and a file query module;
the data acquisition module is used for acquiring equipment information of the cloud storage equipment and sending the equipment information to the cloud server;
the data encryption module is used for submitting a user file through terminal equipment by a user and encrypting the user file, and the specific processing steps are as follows:
the method comprises the following steps: a user sets a conversion code corresponding to a character through terminal equipment and sends the conversion code to a data encryption module for storage;
step two: acquiring a file name of a user file, wherein the file name consists of a subject name, a point and a suffix name of the file, matching the file name with a conversion code stored in a data encryption module, and converting the file name by the conversion code to obtain a conversion name;
step three: the data encryption module replaces the obtained conversion name with the file name of the user file, and marks the user file as a conversion file;
step four: the data encryption module encrypts the conversion file to obtain a conversion encryption file and sends the conversion encryption file to the data distribution module;
the data distribution module receives the converted encrypted file sent by the data encryption module and performs distribution processing, and the specific processing steps are as follows:
s1: the data distribution module sends a backup instruction to the terminal equipment of the user corresponding to the conversion encrypted file, and the user inputs the backup quantity and the backup grade to the data distribution module through the terminal equipment;
s2: backing up the converted encrypted files, wherein the backup quantity is the backup quantity input by a user through terminal equipment; marking the conversion encrypted file and the backup conversion encrypted file as files to be distributed, and using a symbol Wi to represent the files, wherein i is 1, … … and n;
s3: distributing a file W1 to be distributed, and marking the cloud storage devices as Pj, j being 1, … … and n; setting the cloud value of the cloud storage device as YPj(ii) a Setting a backup level as Dk; k is 1, … …, 10; the backup level corresponds to a value range, and is marked as YDk；
S4, marking the backup grade input by the user as Da, a ∈ k, and marking the value range corresponding to the backup grade of the user as YDa(ii) a Storing value and backup grade Y of cloud storage equipmentDaPerforming matching when YPj∈YDaThen the cloud storage device is marked as a preferred storage device, denoted by the symbol Pq, q ∈ j;
s5: the cloud value of the preferred storage device is then denoted as YPq(ii) a Setting the storage quantity of the preferred storage equipment for storing the user as MPq(ii) a Using formulas
Obtaining a selected value X for a preferred storage devicePq(ii) a Wherein b1 and b2 are both preset proportionality coefficients; selecting the preferred storage device with the maximum selected value as the selected storage device, sending the file W1 to be distributed and the number of the selected storage device into the cloud server by the data distribution module, and sending the file W1 to be distributed into the selected storage device for storage after the cloud server receives the file W1 to be distributed and the number of the selected storage device; while the selected storage device is storedThe storage quantity of the user is increased by one;
s6: and sequentially carrying out selected value calculation on the files W2, … … and Wi to be distributed through S5, and distributing the files to the corresponding cloud storage devices for storage.
2. The big data based cloud service analysis management system according to claim 1, wherein the cloud service analysis module is configured to obtain device information in a cloud server and perform cloud value calculation, and the specific calculation steps are as follows:
the method comprises the following steps: setting all CPU models to correspond to a performance value, matching the CPU models of the cloud storage equipment with all the CPU models, and marking the obtained corresponding performance value as NPj；
Step two: calculating the time difference between the installation time of the cloud storage equipment and the current time of the system to obtain the installation time length, and marking the installation time length as TAPj；
Step three: setting the storage space of the cloud storage device as U1Pj(ii) a The remaining storage size of the storage space of the cloud storage device is recorded as U2Pj(ii) a The number of times of failure of the cloud storage device is recorded as GPj；
Step four: obtaining maintenance time corresponding to the failure of the cloud storage equipment, selecting the maintenance time which is the latest time from the current time of the system, calculating the time difference to obtain the latest maintenance duration, and marking the latest maintenance duration as TBPj；
Step five: using formulas
Obtaining cloud stored value Y of a cloud storage devicePj(ii) a Wherein d1, d2, d3, d4, d5 and d6 are all preset proportionality coefficients; mu is an error correction factor, and the value of mu is 0.8637541;
step six: and the cloud service analysis module sends the cloud stored value to the cloud server for storage.
3. The big-data-based cloud service analysis and management system according to claim 1, wherein the device information includes a serial number of the cloud storage device, a CPU model, installation time, storage space, a remaining storage size, a location of the cloud storage device, a number of failures, and corresponding maintenance time; the terminal equipment is a smart phone, a tablet computer or a computer; the user file is a single file or a single compressed file;
the registration login module is used for submitting registration information through the terminal equipment by a user and sending the registration information which is successfully registered into the server for storage, wherein the registration information comprises a name, a registration account and a registration password; and marking the time when the user is successfully registered as the registration time.
4. The cloud service analysis management system based on big data according to claim 1, wherein the file query module is configured to query a user file through a terminal device, and the specific query steps are as follows:
SS 1: a user inputs a registration account and a registration password to a file query module through terminal equipment, the file query module receives the registration account and the registration password, obtains a user file name stored by the user in a file encryption module through the registration account, and sends the name of the user file to the terminal equipment of the user;
SS 2: a user clicks a corresponding user file through terminal equipment, generates a query instruction of the user file and simultaneously sends the query instruction to a file query module;
SS 3: the file query module receives the query instruction and then sends the query instruction to the data encryption module;
SS 4: after receiving the query instruction, the data encryption module performs conversion code conversion on the user file name corresponding to the query instruction to obtain a conversion name, processes the conversion name and sends the conversion name to the query module;
SS 5: the query module receives the conversion name and generates an extraction instruction of the conversion name, the query module sends the transcoding name and the corresponding extraction instruction to the cloud server, and the cloud server sends the conversion encrypted file corresponding to the transcoding name to the data encryption module from the corresponding cloud storage device after receiving the transcoding name and the corresponding extraction instruction;
SS 6: the data encryption module receives the converted encrypted file, decrypts the file and converts the converted code to obtain a user file, and sends the user file to the query module; a user checks and downloads a user file on the query module through terminal equipment;
the file counting module is used for counting the checking times of the user for checking the user file through the query module and sending the user file and the checking times to the service management module.
5. The cloud service analysis management system based on big data according to claim 1, wherein the service management module is configured to manage user files viewed by a user, and the specific management steps are as follows:
step one, setting user files as Wm, m ∈ i, and recording the corresponding viewing times of the user files as BWm；
Step two: acquiring the registration time of a user corresponding to the user file, and calculating the time difference between the registration time and the current time of the system to obtain registration duration; labeled as TC;
step three: using formula DWm＝BWmD7+ TC d8 obtaining the new backup value Y of the userWm(ii) a D7 and d8 are both preset proportionality coefficients, and the backup level of the user file initially stored by the user is Dm;
step four: using the summation formula D1Dm＝DWm+ Dm obtains the new backup level value D1 for the user's fileDm(ii) a The service management module sends the new backup grade value to the data distribution module, and the data distribution module sends the new backup grade value D1DmCalculating and distributing through S4 and S5 to obtain new cloud storage equipment, and sending the number of the new cloud storage equipment to a service management module;
step five: and after receiving the new cloud storage device number, the service management module sends the user file Wm from the originally stored cloud storage device to the new cloud storage device for storage.
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111914003A (en) * | 2020-08-14 | 2020-11-10 | 知小二(广州)科技有限公司 | Big data analysis system based on cloud platform |
| CN112255959A (en) * | 2020-10-30 | 2021-01-22 | 合肥未来计算机技术开发有限公司 | Intelligent building safety management system based on big data |
| CN112333420A (en) * | 2020-08-25 | 2021-02-05 | 帝杰曼科技股份有限公司 | Big data information security management system of smart campus |
| CN112751855A (en) * | 2020-12-30 | 2021-05-04 | 合肥大多数信息科技有限公司 | Cross-browser user data security management system based on encryption technology |
| CN112910916A (en) * | 2021-02-23 | 2021-06-04 | 内江佳路云网络科技有限公司 | Intelligent home gateway system information encryption processing method based on cloud computing |
| CN114928464A (en) * | 2022-03-21 | 2022-08-19 | 上海课亦信息科技有限公司 | Data cloud storage scheduling system based on internet |
| CN115373857A (en) * | 2022-10-24 | 2022-11-22 | 日照职业技术学院 | Data optimization system for economic management |
| CN117194109A (en) * | 2023-09-18 | 2023-12-08 | 浙江央基软件技术有限公司 | Method and system for data backup and recovery |
| CN117560423A (en) * | 2023-10-07 | 2024-02-13 | 上海琨山智能科技有限公司 | Cloud storage node-based intelligent lock cloud storage resource scheduling system |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110252233A1 (en) * | 2010-04-07 | 2011-10-13 | Apple Inc. | System and method for backing up and restoring files encrypted with file-level content protection |
| CN103326999A (en) * | 2012-12-14 | 2013-09-25 | 无锡华御信息技术有限公司 | File safety management system based on cloud service |
| US20140365441A1 (en) * | 2010-05-18 | 2014-12-11 | Ca, Inc. | Systems and methods to determine security holes of a backup image |
| CN104333545A (en) * | 2014-10-26 | 2015-02-04 | 重庆智韬信息技术中心 | Method for encrypting cloud storage file data |
| CN104503869A (en) * | 2015-01-15 | 2015-04-08 | 宇龙计算机通信科技(深圳)有限公司 | Data processing method and data processing system |
| CN108429768A (en) * | 2018-05-29 | 2018-08-21 | 新华三云计算技术有限公司 | Cloud data analysis service manages system, method and cloud server |
| CN108494788A (en) * | 2018-03-29 | 2018-09-04 | 深圳市国富前海区块链技术股份有限公司 | Transmission method, data transmission device and the computer readable storage medium of data |
| CN108520183A (en) * | 2018-04-13 | 2018-09-11 | 杭州橙鹰数据技术有限公司 | A kind of date storage method and device |
| CN108696571A (en) * | 2018-03-28 | 2018-10-23 | 深圳市网心科技有限公司 | Cloud storage service system, method, cloud service smart machine and electronic device |
| CN110473365A (en) * | 2019-08-29 | 2019-11-19 | 河北凯通信息技术服务有限公司 | Intelligence based on Internet of Things and bookshelf makes an inventory, book borrowing system |
| CN110689406A (en) * | 2019-09-25 | 2020-01-14 | 安徽艾可信网络科技有限公司 | Product push system based on internet |
| CN110765478A (en) * | 2019-11-07 | 2020-02-07 | 广州深卓信息科技有限公司 | Big data information secure storage encryption system and method thereof |
-
2020
- 2020-03-27 CN CN202010232285.7A patent/CN111339564B/en active Active
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110252233A1 (en) * | 2010-04-07 | 2011-10-13 | Apple Inc. | System and method for backing up and restoring files encrypted with file-level content protection |
| US20140365441A1 (en) * | 2010-05-18 | 2014-12-11 | Ca, Inc. | Systems and methods to determine security holes of a backup image |
| CN103326999A (en) * | 2012-12-14 | 2013-09-25 | 无锡华御信息技术有限公司 | File safety management system based on cloud service |
| CN104333545A (en) * | 2014-10-26 | 2015-02-04 | 重庆智韬信息技术中心 | Method for encrypting cloud storage file data |
| CN104503869A (en) * | 2015-01-15 | 2015-04-08 | 宇龙计算机通信科技(深圳)有限公司 | Data processing method and data processing system |
| CN108696571A (en) * | 2018-03-28 | 2018-10-23 | 深圳市网心科技有限公司 | Cloud storage service system, method, cloud service smart machine and electronic device |
| CN108494788A (en) * | 2018-03-29 | 2018-09-04 | 深圳市国富前海区块链技术股份有限公司 | Transmission method, data transmission device and the computer readable storage medium of data |
| CN108520183A (en) * | 2018-04-13 | 2018-09-11 | 杭州橙鹰数据技术有限公司 | A kind of date storage method and device |
| CN108429768A (en) * | 2018-05-29 | 2018-08-21 | 新华三云计算技术有限公司 | Cloud data analysis service manages system, method and cloud server |
| CN110473365A (en) * | 2019-08-29 | 2019-11-19 | 河北凯通信息技术服务有限公司 | Intelligence based on Internet of Things and bookshelf makes an inventory, book borrowing system |
| CN110689406A (en) * | 2019-09-25 | 2020-01-14 | 安徽艾可信网络科技有限公司 | Product push system based on internet |
| CN110765478A (en) * | 2019-11-07 | 2020-02-07 | 广州深卓信息科技有限公司 | Big data information secure storage encryption system and method thereof |
Non-Patent Citations (4)
| Title |
|---|
| USMAN,K 等: "Securing remote backup files from man in the middle attacks by using encryption and compression mechanisms", 《INTERNATIONAL JOURNAL OF ADVANCED STUDIES IN COMPUTER SCIENCE AND ENGINEERING》 * |
| WENHAI SUN 等: "Tapping the Potential: Secure Chunk-based Deduplication of Encrypted Data for Cloud Backup", 《2018 IEEE CONFERENCE ON COMMUNICATIONS AND NETWORK SECURITY (CNS)》 * |
| 万民 等: "使用ASCⅡ字符串匹配技术检测防御SQL注入攻击", 《南京广播电视大学学报》 * |
| 苏丽娅•艾尔肯: "云计算中的数据安全存储及加密设计", 《数码世界》 * |
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111914003A (en) * | 2020-08-14 | 2020-11-10 | 知小二(广州)科技有限公司 | Big data analysis system based on cloud platform |
| CN112333420A (en) * | 2020-08-25 | 2021-02-05 | 帝杰曼科技股份有限公司 | Big data information security management system of smart campus |
| CN112255959A (en) * | 2020-10-30 | 2021-01-22 | 合肥未来计算机技术开发有限公司 | Intelligent building safety management system based on big data |
| CN112255959B (en) * | 2020-10-30 | 2021-09-21 | 合肥未来计算机技术开发有限公司 | Intelligent building safety management system based on big data |
| CN112751855A (en) * | 2020-12-30 | 2021-05-04 | 合肥大多数信息科技有限公司 | Cross-browser user data security management system based on encryption technology |
| CN112751855B (en) * | 2020-12-30 | 2022-09-06 | 合肥大多数信息科技有限公司 | Cross-browser user data security management system based on encryption technology |
| CN112910916A (en) * | 2021-02-23 | 2021-06-04 | 内江佳路云网络科技有限公司 | Intelligent home gateway system information encryption processing method based on cloud computing |
| CN114928464A (en) * | 2022-03-21 | 2022-08-19 | 上海课亦信息科技有限公司 | Data cloud storage scheduling system based on internet |
| CN115373857A (en) * | 2022-10-24 | 2022-11-22 | 日照职业技术学院 | Data optimization system for economic management |
| CN117194109A (en) * | 2023-09-18 | 2023-12-08 | 浙江央基软件技术有限公司 | Method and system for data backup and recovery |
| CN117194109B (en) * | 2023-09-18 | 2024-02-23 | 浙江央基软件技术有限公司 | Method and system for data backup and recovery |
| CN117560423A (en) * | 2023-10-07 | 2024-02-13 | 上海琨山智能科技有限公司 | Cloud storage node-based intelligent lock cloud storage resource scheduling system |
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