CN114253484A - Big data cloud storage server - Google Patents
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- CN114253484A CN114253484A CN202111604660.7A CN202111604660A CN114253484A CN 114253484 A CN114253484 A CN 114253484A CN 202111604660 A CN202111604660 A CN 202111604660A CN 114253484 A CN114253484 A CN 114253484A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/06—Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
- G06F3/0601—Interfaces specially adapted for storage systems
- G06F3/0602—Interfaces specially adapted for storage systems specifically adapted to achieve a particular effect
- G06F3/0614—Improving the reliability of storage systems
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/06—Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
- G06F3/0601—Interfaces specially adapted for storage systems
- G06F3/0628—Interfaces specially adapted for storage systems making use of a particular technique
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- G06F3/0644—Management of space entities, e.g. partitions, extents, pools
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/06—Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
- G06F3/0601—Interfaces specially adapted for storage systems
- G06F3/0668—Interfaces specially adapted for storage systems adopting a particular infrastructure
- G06F3/067—Distributed or networked storage systems, e.g. storage area networks [SAN], network attached storage [NAS]
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Abstract
The invention discloses a big data cloud storage server, which relates to the technical field of cloud storage and comprises a big data center, wherein the big data center is in communication connection with a user service port, a data processing module, a data storage module, a data verification module and a data correction module; through decomposing the data that will save into a plurality of storage data stream, thereby can carry out the segmentation check to the data of great storage, compare traditional data storage mode, can make when the data of storage appear the error, quick troubleshooting error point, and because mutual independence between every storage data stream, when a certain storage data stream appears the error, only need to revise the corresponding data content of the point that appears the error in this storage data stream promptly, can accomplish whole storage data's correction, when having improved data storage efficiency, the time that data correction needs has been reduced.
Description
Technical Field
The invention relates to the technical field of cloud storage, in particular to a big data cloud storage server.
Background
With the continuous development of computers and networks and the popularization of high-definition video, the space required for storing multimedia is continuously increased, and the traditional storage architecture is difficult to meet the requirements. Cloud storage gradually reveals the head by the characteristics of massive storage space, high reliability, high concurrency, high expandability, high cost performance and the like;
when data is stored on line, when the data to be stored is too large, data is easy to be lost or wrong in the storage process, and therefore the data extracted by a user is abnormal such as missing.
Disclosure of Invention
The invention aims to provide a big data cloud storage server.
The purpose of the invention can be realized by the following technical scheme: a big data cloud storage server comprises a big data center, wherein the big data center is in communication connection with a user service port, a data processing module, a data storage module, a data verification module and a data correction module;
the user service port is used for uploading data to be stored to a temporary storage interval by a user;
the data processing module is used for processing the data in the temporary storage interval, converting the data in the temporary storage interval into a storage data stream, and completing encryption of the storage data stream to obtain an encrypted data stream;
the data verification module is used for verifying the data to be extracted in the process of extracting the data by the user so as to finish decryption of the encrypted data stream and verify the decrypted data;
and the data correction module is used for correcting data of the storage data stream with errors.
Further, the user service port is used for the user to register personal information, an account for logging in the user service port is obtained according to the registered personal information, and the user service port is accessed through the account.
Further, the process of uploading data by the user includes:
establishing a temporary storage interval, setting a temporary data transmission channel, and linking the temporary storage interval and a user service port through the temporary data transmission channel; and uploading the data to be stored to a temporary storage interval through a temporary data transmission channel.
Further, the process of processing the data in the temporary storage interval by the data processing module includes:
converting data to be stored in the temporary storage interval into a data stream, and marking the data stream converted from the data to be stored as an original data stream; decomposing the original data stream into data stream segments with k bit unit frames as a group, and obtaining the number of the data stream segments of the original data stream; and respectively generating corresponding check codes according to the obtained data stream segments, adding the check codes to the back of the corresponding data stream segments to form new data stream segments, and recording the new data stream segments as storage data streams.
Furthermore, the number of the data stream segments is an integer, and when the number of the data stream segments has a remainder, the remainder part of the number of the data stream segments is complemented by 0, so that the number of unit frames of the data stream segments in the remainder part is k, and a new data stream segment is formed.
Further, the encryption process of the storage data stream includes:
acquiring network interface information of a user service port, generating an identification encryption section according to the network interface information, and generating an identification decryption key according to the identification encryption section;
and encrypting each storage data stream by identifying the encryption segment to obtain an encrypted data stream, and uploading the encrypted data stream to the data storage module for storage.
Further, the process of decrypting the encrypted data stream by the data verification module includes:
the user selects the data to be extracted in the user service port, acquires the identification encryption section in the data to be extracted after selecting the data to be extracted, and decrypts the identification encryption section through the identification decryption key;
and when the identification decryption key is matched with the identification encryption segment, completing decryption of the data to be extracted, thereby obtaining the storage data stream.
Further, the verification process of the data verification module on the stored data stream includes:
marking all storage data streams in the data to be extracted, acquiring a data stream segment formed by unit frames of a-1 bit at the tail of each storage data stream, and marking the acquired data stream segment as a check code of the corresponding storage data stream;
dividing the stored data stream by a binary sequence used for acquiring a check code corresponding to the stored data stream, and acquiring a result;
if the result has remainder, it represents that the stored data stream has error in the transmission process; if the result has no remainder, it indicates that no error occurs in the stored data stream during transmission.
Further, the data correction module corrects the erroneous data by the following process:
reading all unit frames and corresponding sequences in the marked storage data stream with the errors;
acquiring the digit of the binary remainder obtained in the analysis process of the stored data stream, and marking the unit frames at the corresponding positions in the unit frames ordered from low order to high order in the stored data stream;
sequentially changing all unit frames; dividing the changed storage data stream by a binary sequence to obtain a result, and marking the corresponding unit frame when no remainder exists in the result;
acquiring all marked unit frame information and returning the unit frame information to the data storage module;
acquiring data content corresponding to the unit frame according to the unit frame information, and retransmitting the data content to the temporary storage interval;
and replacing the data content with the data content of the unit frame at the corresponding position in the stored data stream.
Compared with the prior art, the invention has the beneficial effects that: through decomposing the data that will save into a plurality of storage data stream, thereby can carry out the segmentation check to the data of great storage, compare traditional data storage mode, can make when the data of storage appear the error, quick troubleshooting error point, and because mutual independence between every storage data stream, when a certain storage data stream appears the error, only need to revise the corresponding data content of the point that appears the error in this storage data stream promptly, can accomplish whole storage data's correction, when having improved data storage efficiency, the time that data correction needs has been reduced.
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Fig. 1 is a schematic diagram of the present invention.
Detailed Description
As shown in fig. 1, a big data cloud storage server includes a big data center, where the big data center is communicatively connected with a user service port, a data processing module, a data storage module, a data verification module, and a data modification module;
the user service port is used for the user to register personal information, an account for logging in the user service port is obtained according to the registered personal information, and the user service port is accessed through the account;
the user service port is also used for uploading data to be stored by a user, and the process of uploading data by the user comprises the following steps:
establishing a temporary storage interval, setting a temporary data transmission channel, and linking the temporary storage interval and a user service port through the temporary data transmission channel;
uploading data to be stored to a temporary storage interval through a temporary data transmission channel; it should be further noted that, in the specific implementation process, the temporary data transmission channel is automatically closed after the transmission of the data that the user needs to transmit is completed.
The data processing module is used for processing data in the temporary storage interval, and the specific processing process comprises the following steps:
converting data to be stored in the temporary storage interval into a data stream, and marking the data stream converted from the data to be stored as an original data stream; the data stream consists of a plurality of binary unit frames;
acquiring the frame number of unit frames forming the original data stream, and recording the number of the unit frames of the original data stream as m;
decomposing the original data stream into data stream segments with k bit unit frames as a group, wherein the number of the data stream segments obtained by the original data stream is SJL, and SJL = m/k; it should be further noted that, in the specific implementation process, SJL is an integer, and when there is a remainder in SJL, the remainder part of SJL is complemented by 0, so that the number of unit frames of the data stream segment in the remainder part is k, and a new data stream segment is formed;
for example, when the original data stream is 11000011001, the original data stream is decomposed into data stream segments with 4-bit unit frames as a group, and then data stream segments 1100,0011 and 001 are obtained, respectively, and since the number of unit frames of the 001 data stream segment is 3, the 001 data stream segment is complemented by 0 to obtain data stream segment 0010, so that three complete data stream segments 1100,0011 and 0001 are obtained.
Respectively generating corresponding check codes according to the obtained data stream segments, adding the check codes to the back of the corresponding data stream segments to form new data stream segments, and recording the new data stream segments as storage data streams;
the acquisition process of the stored data stream comprises the following steps:
setting a CRC polynomial, obtaining a binary sequence according to the CRC polynomial, and recording the unit frame number of the binary sequence as a;
adding (a-1) bit '0' behind the data stream segment to form a new data stream, wherein the (a-1) bit '0' added to the new data stream is a bit, dividing the new data stream by a check code, and taking the remainder of the result to obtain a binary remainder; it should be further noted that, in the specific implementation process, when the number of the unit frames of the obtained binary remainder is less than (a-1) bits, a 0 is complemented before the obtained binary remainder, then the check code corresponding to the data stream segment is obtained, and the obtained check code is added to the back of the data stream segment, thereby obtaining the stored data stream.
For example, the following steps are carried out:
setting the CRC polynomial to F (X) = X4+X3+1, data stream segment 10110011;
the obtained binary sequence of the CRC polynomial is 11001, i.e., the unit frame number of the binary sequence of the CRC polynomial is 5;
the 4 bits of "0" are complemented after the data stream segment 10110011 to obtain a new data stream 101100110000;
dividing the new data stream 101100110000 by the binary sequence 11001 to obtain a result with a binary remainder of 100; if the number of bits of the unit frame of the obtained binary remainder is 3, the binary remainder is complemented by '0', so that a check code 0100 is obtained; the obtained check code 0100 is added to the back of the data stream segment to obtain the stored data stream 101100110100.
After the data to be stored is converted into a storage data stream, encrypting the storage data stream, wherein the encryption process of the storage data stream comprises the following steps:
acquiring network interface information of a user service port, generating an identification encryption section according to the network interface information, and generating an identification decryption key according to the identification encryption section;
and encrypting each storage data stream by identifying the encryption segment to obtain an encrypted data stream, and uploading the encrypted data stream to the data storage module for storage.
It should be further noted that, in the specific implementation process, after the encrypted data stream is uploaded to the data storage module, a data operation log is generated according to the operation content of the user in the temporary storage interval, the data operation log and the identification decryption key are sent to the user service port, and finally the temporary storage interval is covered.
And uploading the encrypted data stream to a data storage module for storage.
The data verification module is used for verifying the data to be extracted in the process of extracting the data by the user, and the specific verification process comprises the following steps:
the user selects the data to be extracted in the user service port, and decrypts the data to be extracted by identifying the decryption key after selecting the data to be extracted, wherein the specific decryption process comprises the following steps:
acquiring an identification encryption segment in the data to be extracted, and decrypting the identification encryption segment through an identification decryption key;
when the identification decryption key is matched with the identification encryption section, the decryption of the data to be extracted is completed, and the storage data stream is obtained;
it should be further noted that, in the specific implementation process, after the decryption process of the data to be extracted is completed, a temporary storage interval is established, the data to be extracted is copied, the copied data is imported into the temporary storage interval from the data storage module, and after the data is imported into the temporary storage interval, the integrity of the imported data is verified, where the specific verification process includes:
marking all storage data streams in the data to be extracted, acquiring a data stream segment formed by unit frames of a (a-1) bit at the tail of each storage data stream, and marking the acquired data stream segment as a check code of the corresponding storage data stream;
dividing the stored data stream by a binary sequence used for acquiring a check code corresponding to the stored data stream, and acquiring a result;
if the result has remainder, it represents that the stored data stream has error in the transmission process; if the result has no remainder, it indicates that no error occurs in the stored data stream during transmission.
For example, the following steps are carried out:
setting a storage data stream as 101100110100, and setting a binary sequence of a check code for acquiring the storage data stream as 11001;
dividing the stored data stream 101100110100 by the binary sequence 11001 to obtain a result 11010100, and a remainder 0, which indicates that no error occurs in the stored data stream during transmission;
if the storage data stream is 101100110101, the binary sequence of the check code for obtaining the storage data stream is 11001;
the stored data stream 101100110101 is divided by the binary sequence 11001 to obtain a result 11010100 and the remainder 0001 indicates that the stored data stream is erroneous during transmission.
It should be further noted that, in the implementation process, when the storage data stream has an error, the storage data stream is marked, and the marked storage data stream is sent to the data correction module.
The data correction module is used for correcting data of the storage data stream with errors, and the specific process comprises the following steps:
reading all unit frames and corresponding sequences in the marked storage data stream with the errors;
acquiring a binary remainder obtained in the analysis process of the stored data stream;
according to the obtained digit of the binary remainder, marking the unit frames at the corresponding positions in the unit frames which are sorted from the low order to the high order in the stored data stream;
all the unit frames are changed in sequence, namely, if the unit frame is '0', the unit frame is changed into '1', and if the unit frame is '1', the unit frame is changed into '0';
dividing the changed storage data stream by a binary sequence to obtain a result and obtain whether the result has a remainder;
when no remainder exists in the result, marking the corresponding unit frame;
acquiring all marked unit frame information, summarizing the unit frame information, and returning the unit frame information to the data storage module; the unit frame information comprises a storage data stream where the unit frame is located and a position in the storage data stream;
acquiring data content corresponding to the unit frame according to the unit frame information, summarizing the data content, and retransmitting the data content to the temporary storage interval;
and replacing the data content of the unit frame at the corresponding position in the stored data stream with the data content to finish the correction of the data content.
It should be further noted that, in the specific implementation process, the data to be stored is divided into a plurality of stored data streams, so that the large stored data can be subjected to segment verification, compared with the conventional data storage mode, when the stored data has an error, error points can be rapidly checked, and because each stored data stream is independent, when a certain stored data stream has an error, only the data content corresponding to the point where the error occurs in the stored data stream needs to be corrected, so that the correction of the whole stored data can be completed, the data storage efficiency is improved, and meanwhile, the time required by data correction is reduced.
Although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted for elements thereof without departing from the spirit and scope of the present invention.
Claims (9)
1. A big data cloud storage server comprises a big data center, and is characterized in that the big data center is in communication connection with a user service port, a data processing module, a data storage module, a data verification module and a data correction module;
the user service port is used for uploading data to be stored to a temporary storage interval by a user;
the data processing module is used for processing the data in the temporary storage interval, converting the data in the temporary storage interval into a storage data stream, and completing encryption of the storage data stream to obtain an encrypted data stream;
the data verification module is used for verifying the data to be extracted in the process of extracting the data by the user so as to finish decryption of the encrypted data stream and verify the decrypted data;
and the data correction module is used for correcting data of the storage data stream with errors.
2. The big data cloud storage server according to claim 1, wherein the user service port is used for a user to perform personal information registration, an account for logging in the user service port is obtained according to the registered personal information, and the user service port is accessed through the account.
3. The big data cloud storage server according to claim 2, wherein the process of uploading data by the user comprises:
establishing a temporary storage interval, setting a temporary data transmission channel, and linking the temporary storage interval and a user service port through the temporary data transmission channel; and uploading the data to be stored to a temporary storage interval through a temporary data transmission channel.
4. The big data cloud storage server according to claim 3, wherein the process of processing the data in the temporary storage interval by the data processing module comprises:
converting data to be stored in the temporary storage interval into a data stream, and marking the data stream converted from the data to be stored as an original data stream; decomposing the original data stream into data stream segments with k bit unit frames as a group, and obtaining the number of the data stream segments of the original data stream; and respectively generating corresponding check codes according to the obtained data stream segments, adding the check codes to the back of the corresponding data stream segments to form new data stream segments, and recording the new data stream segments as storage data streams.
5. The big data cloud storage server according to claim 4, wherein the number of the data stream segments is an integer, and when there is a remainder in the number of the data stream segments, the remainder part of the number of the data stream segments is complemented by 0, so that the number of unit frames of the data stream segments in the remainder part is k, and a new data stream segment is formed.
6. The big data cloud storage server according to claim 4, wherein the encryption process of the storage data stream comprises:
acquiring network interface information of a user service port, generating an identification encryption section according to the network interface information, and generating an identification decryption key according to the identification encryption section;
and encrypting each storage data stream by identifying the encryption segment to obtain an encrypted data stream, and uploading the encrypted data stream to the data storage module for storage.
7. The big data cloud storage server according to claim 6, wherein the process of decrypting the encrypted data stream by the data verification module comprises:
the user selects the data to be extracted in the user service port, acquires the identification encryption section in the data to be extracted after selecting the data to be extracted, and decrypts the identification encryption section through the identification decryption key;
and when the identification decryption key is matched with the identification encryption segment, completing decryption of the data to be extracted, thereby obtaining the storage data stream.
8. The big data cloud storage server according to claim 7, wherein the verification process of the data verification module on the stored data stream includes:
marking all storage data streams in the data to be extracted, acquiring a data stream segment formed by unit frames of a-1 bit at the tail of each storage data stream, and marking the acquired data stream segment as a check code of the corresponding storage data stream;
dividing the stored data stream by a binary sequence used for acquiring a check code corresponding to the stored data stream, and acquiring a result;
if the result has remainder, it represents that the stored data stream has error in the transmission process; if the result has no remainder, it indicates that no error occurs in the stored data stream during transmission.
9. The big data cloud storage server according to claim 8, wherein the data correction module corrects the data with errors according to a process including:
reading all unit frames and corresponding sequences in the marked storage data stream with the errors;
acquiring the digit of the binary remainder obtained in the analysis process of the stored data stream, and marking the unit frames at the corresponding positions in the unit frames ordered from low order to high order in the stored data stream;
sequentially changing all unit frames; dividing the changed storage data stream by a binary sequence to obtain a result, and marking the corresponding unit frame when no remainder exists in the result;
acquiring all marked unit frame information and returning the unit frame information to the data storage module;
acquiring data content corresponding to the unit frame according to the unit frame information, and retransmitting the data content to the temporary storage interval;
and replacing the data content with the data content of the unit frame at the corresponding position in the stored data stream.
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