CN113485973B - Data synchronization method and device - Google Patents
Data synchronization method and device Download PDFInfo
- Publication number
- CN113485973B CN113485973B CN202110748865.6A CN202110748865A CN113485973B CN 113485973 B CN113485973 B CN 113485973B CN 202110748865 A CN202110748865 A CN 202110748865A CN 113485973 B CN113485973 B CN 113485973B
- Authority
- CN
- China
- Prior art keywords
- file
- statistical period
- data
- synchronization
- service node
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/17—Details of further file system functions
- G06F16/178—Techniques for file synchronisation in file systems
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/18—File system types
- G06F16/1873—Versioning file systems, temporal file systems, e.g. file system supporting different historic versions of files
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The invention discloses a data synchronization method and device, and belongs to the technical field of Internet of things. The method comprises the following steps: acquiring file information corresponding to the first type of data synchronous signaling; determining a heat value of the file according to the file name and the synchronization time; selecting a target file from the files according to a preset heat threshold and a heat value of the file; under the condition that the preset time condition is met, the current version of the target file is uploaded to the service node, so that the service node stores the file which is higher in synchronization probability and contains the original data in advance, and for the file, when the service node has the synchronization requirement, the service node does not need to synchronize in real time from the acquisition node and directly obtains the file locally, thereby meeting the synchronization requirement of the service node on the file containing the original data on a larger probability, effectively reducing the condition of overlong transmission time caused by responding to the first-type data synchronization signaling in real time, and improving the service level of the Internet of things system.
Description
Technical Field
The invention relates to the technical field of the Internet of things, in particular to a data synchronization method and device.
Background
Generally, an internet of things system includes a total service node and a plurality of collection nodes. After the acquisition node acquires data to obtain original data, the original data is preprocessed at the local end to obtain a processing result with smaller data volume, and then the processing result is transmitted to the service node through a preset conventional data synchronization instruction, and the original data is not transmitted to the service node, so that the problem of overlong transmission time caused by directly transmitting the original data is avoided. However, in some application scenarios, the service node needs to obtain some raw data from the collection node for personalized analysis. Because the volume of the original data is larger than that of the processing result, the data transmission time is possibly longer, and the service level of the Internet of things system is affected.
Disclosure of Invention
Therefore, the invention provides a data synchronization method and device, which are used for solving the problem that when a service node acquires original data from an acquisition node, the transmission time is long due to the large data volume of the original data, so that the service level of an Internet of things system is affected.
In order to achieve the above object, a first aspect of the present invention provides a data synchronization method, including:
Acquiring file information corresponding to a first type of data synchronization signaling, wherein the first type of data synchronization signaling is signaling used for synchronizing a file containing original data to a service node, the original data is unprocessed data acquired by an acquisition node, and the file information comprises a file name and synchronization time;
determining a heat value of the file according to the file name and the synchronization time;
selecting a target file from the files according to a preset heat threshold and a heat value of the file;
and uploading the current version of the target file to a service node under the condition that the preset time condition is met.
Further, the determining the heat value of the file according to the file name and the synchronization time includes:
determining the synchronization frequency of the file in a preset statistical period according to the file name and the synchronization time;
obtaining a heat component of the file in each statistical period according to the synchronous frequency of the file in each statistical period and the corresponding influence factor;
and obtaining the heat value of the file according to the heat component of the file in each statistical period.
Further, the obtaining the heat component of the file in each statistical period according to the synchronous frequency of the file in each statistical period and the corresponding influence factor includes:
and multiplying the synchronous frequency of the file in each statistical period with a corresponding influence factor to obtain the heat component of the file in each statistical period.
Further, the obtaining the heat value of the file according to the heat component of the file in each statistical period includes:
and summing the heat components of the file in each statistical period to obtain the heat value of the file.
Further, the influence factor has a positive correlation with the number of cycles corresponding to the statistical period.
Further, the influence factor is set by the formula (1):
p j ＝2 j-J (1)
wherein J is the total number of the statistical periods, J is the number of periods corresponding to the statistical periods, and p j And (5) the influence factor corresponding to the j-th statistical period.
Further, selecting the target file from the files according to the preset heat threshold and the heat value of the file, including:
sorting the files according to the heat value of the files to obtain a file sequence;
And selecting the target file from the file sequence according to the heat threshold and the heat value of the file, wherein the target file is a file with the heat value larger than or equal to the heat threshold in the file sequence.
Further, the preset time condition is that a target statistical period is entered, the target statistical period is the next statistical period of the current statistical period, and the statistical period is a preset period for calculating the heat value of the file;
and uploading the current version of the target file to a service node under the condition that the preset time condition is met, wherein the method comprises the following steps:
and uploading the current version of the target file to a service node under the condition of entering the target statistical period, wherein the target file is determined in the current statistical period.
Further, after uploading the current version of the target file to the service node when the preset time condition is met, the method further includes:
receiving a first type data synchronization signaling sent by the service node, wherein the first type data synchronization signaling comprises a file name of a file to be synchronized;
Determining whether the file to be synchronized is uploaded to the service node according to the file name of the file to be synchronized;
under the condition that the file to be synchronized is uploaded to the service node, determining whether the current version of the file to be synchronized is consistent with the version of the uploaded file;
and under the condition that the current version of the file to be synchronized is inconsistent with the version of the uploaded file, determining incremental data, and uploading the incremental data to the service node, wherein the incremental data is difference data between the file to be synchronized of the current version and the file of the uploaded version.
In order to achieve the above object, a second aspect of the present invention provides a data synchronization device comprising:
the system comprises an acquisition module, a synchronization module and a synchronization module, wherein the acquisition module is configured to acquire file information corresponding to a first type of data synchronization signaling, the first type of data synchronization signaling is signaling used for synchronizing a file containing original data to a service node, the original data is unprocessed data acquired by an acquisition node, and the file information comprises a file name and synchronization time;
the determining module is configured to determine a heat value of the file according to the file name and the synchronous time;
The selecting module is configured to select a target file from the files according to a preset heat threshold and the heat value of the files;
and the uploading module is configured to upload the current version of the target file to a service node under the condition that the preset time condition is met.
The invention has the following advantages:
the invention provides a data synchronization method, which is used for acquiring file information corresponding to a first type of data synchronization signaling, wherein the first type of data synchronization signaling is signaling used for synchronizing a file containing original data to a service node, the original data is unprocessed data acquired by an acquisition node, and the file information comprises a file name and synchronization time; determining a heat value of the file according to the file name and the synchronization time; selecting a target file from the files according to a preset heat threshold and a heat value of the file; under the condition that the preset time condition is met, the current version of the target file is uploaded to the service node, so that the service node stores the file which is higher in synchronization probability and contains the original data in advance, and for the file, when the service node has the synchronization requirement, the service node does not need to synchronize in real time from the acquisition node and directly obtains the file locally, thereby meeting the synchronization requirement of the service node on the file containing the original data on a larger probability, effectively reducing the condition of overlong transmission time caused by responding to the first-type data synchronization signaling in real time, and improving the service level of the Internet of things system.
Drawings
The accompanying drawings are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification, illustrate the invention and together with the description serve to explain, without limitation, the invention.
Fig. 1 is a schematic structural diagram of an internet of things system according to an embodiment of the present invention;
FIG. 2 is a flowchart of a data synchronization method according to an embodiment of the present invention;
FIG. 3 is a flowchart of a data synchronization method according to another embodiment of the present invention;
FIG. 4 is a flowchart of a method for determining a file heat value according to an embodiment of the present invention;
FIG. 5 is a block diagram illustrating a data synchronization apparatus according to an embodiment of the present invention;
FIG. 6 is a block diagram illustrating a data synchronization apparatus according to another embodiment of the present invention;
fig. 7 is a block diagram of a determining module according to an embodiment of the present invention.
Detailed Description
The following describes specific embodiments of the present invention in detail with reference to the drawings. It should be understood that the detailed description and specific examples, while indicating and illustrating the invention, are not intended to limit the invention.
The internet of things (Internet of Things, ioT), namely the internet with everything connected, is an extended and expanded network based on the internet, and a huge network formed by combining various information sensing devices with the network is used for realizing the interconnection and intercommunication of people, machines and things at any time and any place. In general, an internet of things system formed based on the internet of things comprises a total service node and a plurality of acquisition nodes, and data transmission is realized between the acquisition nodes and the service nodes through data synchronization signaling. Moreover, to reduce data transmission pressure, the collection node typically synchronizes processing results only to the service node and does not synchronize the original data. However, the service node still has a need of synchronizing the original data from the acquisition node, and responding to such a need in real time and synchronizing the original data definitely occupies a large amount of transmission resources of the internet of things system, so that the service level of the internet of things system is affected.
In view of this, the embodiments of the present application provide a data synchronization method and apparatus, which stores original data with a larger synchronization probability in a service node in advance, so as to meet the synchronization requirement of the service node on the original data on a larger probability, effectively reduce the situation of excessively long transmission time caused by responding to the original data synchronization requirement in real time, and thereby improve the service level of the internet of things system.
Fig. 1 is a schematic structural diagram of an internet of things system according to an embodiment of the present invention. As shown in fig. 1, the internet of things system 100 includes: service node 110, first collection node 121, second collection node 122, … …, nth collection node 12n, and service node 110 is communicatively coupled to each collection node, where n is an integer greater than or equal to 1.
It should be noted that, in practical application, communication connection may exist between each collection node, and other functional nodes (not shown in fig. 1) may also be included in the internet of things system 100, which is not described herein.
In some embodiments, service node 110 is a device with communication and more complex data processing functions. The collection node (any one of the first to nth collection nodes 121 to 12 n) is a device having data collection, simple data processing, and communication functions. For example, when the internet of things system is specifically an internet of things system, the collection node may be a speed sensor, a sound sensor and other sensors, the service node may be a processor, the collection node has a data collection function, and the service node issues various control instructions to the vehicle according to the data uploaded by the collection node.
In some embodiments, the service node 110 issues various types of data synchronization signaling to the collection node, which receives and responds to the data synchronization signaling, and transmits the synchronization data to the service node 110 for the service node 110 to perform corresponding operations based on the data. The synchronous data can be a processing result with smaller volume or an original data with larger volume, and the synchronous data is specifically determined according to the type of the requirement of the service node.
In some embodiments, the service node 110 sends a data synchronization signaling to the collection node, the collection node receives the data synchronization signaling, acquires the original data through a data collection operation, locally preprocesses the original data to obtain a processing result, and then uploads the processing result to the service node 110, and the service node 110 receives the processing result uploaded by the collection node. Wherein the raw data is raw data collected by a collection node. In general, the volume of the original data is large, the transmission delay is correspondingly large, and the transmission is inconvenient, so after the acquisition node obtains the original data, the acquisition node performs preprocessing on the original data to obtain a processing result, and only the processing result is uploaded to the service node 110.
In other implementations, the serving node has a need to acquire the original data, and thus send data synchronization signaling to the collecting node, which receives the data synchronization signaling and uploads the original data to the serving node 110.
It should be noted that, the requirement of synchronizing the original data is usually achieved through non-preset data synchronization signaling. Moreover, since the volume of the data of the original data is much larger than the processing result, the data synchronization process based on the original data generally takes longer time, occupies more transmission resources, and may affect the service level of the internet of things system.
The first aspect of the present application provides a data synchronization method. Fig. 2 is a flowchart of a data synchronization method according to an embodiment of the present application, where the data synchronization method may be applied to an acquisition node. As shown in fig. 2, the data synchronization method includes the steps of:
step S201, obtaining file information corresponding to the first type of data synchronization signaling.
The first type of data synchronization signaling is signaling for synchronizing a file containing original data to a service node, the original data is unprocessed data acquired by an acquisition node, and file information comprises a file name and synchronization time.
In some embodiments, the collection node counts the first type of data synchronization signaling between the collection node and the service node, and analyzes the first type of data synchronization signaling, so as to obtain file information corresponding to the first type of data synchronization signaling.
It should be noted that, corresponding to the first type of data synchronization signaling, there is also a second type of data synchronization signaling. The second type of data synchronization signaling is typically preset signaling, which is used to synchronize files containing only processing results to the serving node. In other words, after the collection node receives the second type data synchronization signaling, it can acquire which original data needs to be processed according to the second type data synchronization signaling to obtain a corresponding processing result, and synchronize the processing result to the service node only, that is, the data volume of the file to be synchronized by the second type data synchronization signaling is smaller than that of the file to be synchronized by the first type data synchronization signaling. For the second-class data synchronization signaling, the generated data transmission pressure has little influence on the service level of the internet of things system, and the synchronization is performed according to the existing data synchronization technology, which is not described herein.
Step S202, determining the heat value of the file according to the file name and the synchronization time.
Wherein the hotness value of the file may characterize the extent to which the service node is required to synchronize the file.
In some embodiments, determining a synchronization frequency of the file in a preset statistical period according to the file name and the synchronization time; obtaining the heat component of the file in each statistical period according to the synchronous frequency of the file in each statistical period and the influence factor corresponding to each statistical period; and obtaining the heat value of the file according to the heat component of the file in each statistical period. The influence factors have a corresponding relation with the statistical period and are used for representing the influence degree of the statistical period on the heat value of the file.
In some implementations, the impact factor has a positive correlation with the number of cycles corresponding to the statistical period. That is, the closer the statistical period is to the current time, the larger the influence factor is, and conversely, the smaller the influence factor is.
For example, the influence factor is set by the following formula:
p j ＝2 j-J
wherein J is the total number of statistical periods, J is the number of periods corresponding to the statistical periods, the value range of J is {1,2, …, J }, and J is an integer greater than or equal to 1, p j And the effect factor corresponding to the j-th statistical period.
As another example, the impact factor has a linear positive correlation with the number of cycles of the statistical period, i.e., p j And (J) is the number of cycles corresponding to the statistical period, the value range of J is {1,2, …, J }, J is the total number of the statistical periods and J is an integer greater than or equal to 1, k is an influence coefficient, and k is greater than 0.
In some embodiments, the process of obtaining the heat component of the file at each statistical period includes: and multiplying the synchronous frequency of the file in each statistical period by a corresponding influence factor to obtain the heat component of the file in each statistical period.
In some embodiments, the process of obtaining the file heat value includes: and summing the heat components of the file in each statistical period to obtain the heat value of the file.
For example, assume that the total number of statistical cycles is 3, T1, T2 and T3, respectively, and the statistical cycle corresponds to time T 0 . The file information synchronized for each statistical period is shown in table 1.
Table 1 statistics of periodically synchronized file information
First, the synchronization frequency of each file at each statistical period is determined. Specifically:
for DOC1, there are three synchronization processes in the statistical period T1, so the DOC1 has a synchronization frequency f11=3/T at T1 0 The method comprises the steps of carrying out a first treatment on the surface of the It has a synchronization process during the statistical period T2, so the DOC1 has a synchronization frequency f12=1/T at T2 0 The method comprises the steps of carrying out a first treatment on the surface of the It has a synchronization process during the statistical period T3, so the DOC1 has a synchronization frequency f13=1/T at T3 0 。
For DOC2, there is one synchronization process in the statistical period T1, so the DOC2 has a synchronization frequency f21=1/T at T1 0 The method comprises the steps of carrying out a first treatment on the surface of the It has a synchronization process during the statistical period T2, so the DOC2 has a synchronization frequency f22=1/T at T2 0 The method comprises the steps of carrying out a first treatment on the surface of the It has a synchronization process during the statistical period T3, so the DOC2 has a synchronization frequency f23=1/T at T3 0 。
For DOC3, there is one synchronization process during the statistical period T1, so DOC3 has a synchronization frequency f31=1/T at T1 0 The method comprises the steps of carrying out a first treatment on the surface of the It has two synchronization processes in the statistical period T2, so the DOC3 has a synchronization frequency f32=2/T at T2 0 The method comprises the steps of carrying out a first treatment on the surface of the It is not synchronized within the statistical period T3, and therefore DOC3 has a synchronization frequency f33=0 at T3.
For DOC4, which is not synchronized for a statistical period T1,therefore, DOC4 has a synchronization frequency f41=0 at T1; it has a synchronization process during the statistical period T2, so the DOC4 has a synchronization frequency f42=1/T at T2 0 The method comprises the steps of carrying out a first treatment on the surface of the It has a synchronization process during the statistical period T3, so the DOC4 has a synchronization frequency f43=1/T at T3 0 。
For DOC5, it is not synchronized for the statistical period T1, and therefore, DOC5 has a synchronization frequency f51=0 at T1; it has a synchronization process during the statistical period T2, so the DOC5 has a synchronization frequency f52=1/T at T2 0 The method comprises the steps of carrying out a first treatment on the surface of the It is not synchronized for the statistical period T3, and therefore DOC5 has a synchronization frequency f53=0 at T3.
Next, by the formula p j ＝2 j-J Determining an influence factor corresponding to each statistical period, wherein J represents the serial number of the statistical period, the value range of J is {1,2, …, J }, J is the total number of the statistical periods and J is an integer greater than or equal to 1, p j Is the impact factor of the jth statistical period. Specifically:
since the total number of statistical cycles is 3, j=3 is determined. Based on this, an influence factor p corresponding to the statistical period T1 is determined 1 ＝2 1-3 ＝2 -2 The method comprises the steps of carrying out a first treatment on the surface of the Determining an influence factor p corresponding to the statistical period T2 2 ＝2 2-3 ＝2 -1 The method comprises the steps of carrying out a first treatment on the surface of the Determining an influence factor p corresponding to the statistical period T3 3 ＝2 3-3 ＝1。
Again, the heat component of the file at each statistical period is calculated. Specifically:
for DOC1, its heat component h11=p in the statistical period T1 1 *f11＝(2 -2 )*(3/t 0 )＝3/(4t 0 ) The method comprises the steps of carrying out a first treatment on the surface of the Its heat component h12=p in the statistical period T2 2 *f12＝(2 -1 )*(1/t 0 )＝1/(2t 0 ) The method comprises the steps of carrying out a first treatment on the surface of the Its heat component h13=p in the statistical period T3 3 *f13＝1*(1/t 0 )＝1/t 0 。
For DOC2, its heat component h21=p in the statistical period T1 1 *f21＝(2 -2 )*(1/t 0 )＝1/(4t 0 ) The method comprises the steps of carrying out a first treatment on the surface of the Its heat component h22=p in the statistical period T2 2 *f22＝(2 -1 )*(1/t 0 )＝1/(2t 0 ) The method comprises the steps of carrying out a first treatment on the surface of the Its heat component h23=p in the statistical period T3 3 *f23＝1*(1/t 0 )＝1/t 0 。
For DOC3, its heat component h31=p in the statistical period T1 1 *f31＝(2 -2 )*(1/t 0 )＝1/(4t 0 ) The method comprises the steps of carrying out a first treatment on the surface of the Its heat component h32=p in the statistical period T2 2 *f32＝(2 -1 )*(2/t 0 )＝1/t 0 The method comprises the steps of carrying out a first treatment on the surface of the Its heat component h33=p in the statistical period T3 3 *f33＝1*0＝0。
For DOC4, its heat component h41=p in statistical period T1 1 *f41＝(2 -2 ) 0=0; its heat component h42=p in the statistical period T2 2 *f42＝(2 -1 )*(1/t 0 )＝1/(2t 0 ) The method comprises the steps of carrying out a first treatment on the surface of the Its heat component h43=p in the statistical period T3 3 *f43＝1*(1/t 0 )＝1/t 0 。
For DOC5, its heat component h51=p in the statistical period T1 1 *f51＝(2 -2 ) 0=0; its heat component h52=p in the statistical period T2 2 *f52＝(2 -1 )*(1/t 0 )＝1/(2t 0 ) The method comprises the steps of carrying out a first treatment on the surface of the Its heat component h53=p in the statistical period T3 3 *f53＝1*0＝0。
Finally, through the formula
The heat value of each file is calculated. Wherein i represents the serial number of the file, the value range of i is {1,2, …, n }, n is the total number of the files, and n is an integer greater than or equal to 1; j represents the number of the statistical period, the value range of J is {1,2, …, J }, J is the total number of the statistical period and J is an integer greater than or equal to 1, p j Is the influence factor of the jth statistical period, f ij For the synchronization frequency of the ith file at the jth statistical period, (p) j *f ij ) Representing the heat component of the ith file at the jth statistical period (described above in h ij Representation), H i Representing the heat value of the i-th file. Specifically:
for DOC1, its heat value
For DOC2, its heat value
For DOC3, its heat value
For DOC4, its heat value
For DOC5, its heat value 
Through the above process, the heat value of each file is obtained.
The number of statistical cycles and the number of files are exemplary, and the number of statistical cycles and the number of files are not limited.
Step S203, selecting a target file from the files according to a preset heat threshold and a heat value of the file.
The target file refers to a file containing original data with high synchronization probability. In some embodiments, the target file is selected by pre-setting a heat threshold and comparing the file heat value to the pre-set heat threshold. The preset heat threshold may be set according to statistical data, experience, or actual requirements, which is not limited in this application.
In some embodiments, the files are first sorted according to the heat value of the files to obtain a file sequence; and selecting a target file from the file sequence according to the heat threshold and the heat value of the file, wherein the target file is a file with the heat value greater than or equal to the heat threshold in the file sequence.
When the target files are selected in a sorting mode, only the file corresponding to the heat value closest to the preset heat threshold is required to be determined, the file is used as a boundary, and the files which are determined to be larger than the preset heat threshold are used as the target files, so that the heat value of each file is prevented from being compared with the preset heat threshold one by one, the operation is more convenient and rapid, and the efficiency is higher.
For example, assume that a heat threshold H is preset thr There are five documents DOC1, DOC2, DOC3, DOC4 and DOC5, each of which corresponds to a heat value of H 1 、H 2 、H 3 、H 4 And H 5 And H is 1 ＞H 3 ＞H thr ＞H 4 ＝H 2 ＞H 5 . Based on the above, the five files are ordered according to the heat value from big to small, and the obtained file sequence is H 1 、H 3 、H 4 、H 2 、H 5 . Due to H 3 Is most adjacent to H thr And is greater than H thr Therefore, will be arranged at H 3 All the files before are determined as target files. Based on this, DOC1 and DOC3 are determined as target documents.
It should be noted that the preset heat threshold may also be in the form of a percentage. For example, the preset heat threshold is 30%, which means that the files arranged in the top 30% in the file sequence are determined as target files. For example, the file sequence includes 10 files, and when the preset heat threshold is 30%, the file ranked in the first 3 bits in the file sequence is determined as the target file. Wherein "3" is obtained from {10 x (30%) }.
Step S204, uploading the current version of the target file to the service node under the condition that the preset time condition is met.
The preset time condition is a preset condition for determining the time of uploading the file.
In some embodiments, the preset time condition is to enter a target statistical period, the target statistical period is the next statistical period of the current statistical period, and the statistical period is a preset period for calculating the heat value of the file. Uploading the current version of the target file to the service node if the preset time condition is met, including: and uploading the current version of the target file to the service node under the condition of entering the target statistical period, wherein the target file is determined in the current statistical period.
For example, the current time is T1, and the corresponding statistical period is T i In the statistical period T i The determined target file comprises DOC1 and DOC3, wherein i is the sequence number of the statistical period, and i is sequentially increased along with the progress of time. As time advances, when time goes from the current time T1 to the time T2, if the corresponding statistical period of T2 is T i+1 Then the current versions of DOC1 and DOC3 are determined and uploaded to the service node.
It should be noted that, the timing of uploading the target file may also be determined according to factors such as the busy degree of the service node. For example, after entering a target statistics period, the idle rate of the service node is obtained, and when the idle rate of the service node exceeds a preset idle threshold, the uploading operation of the target file is executed, so that the influence degree of the uploading operation on the internet of things system is reduced as much as possible.
The invention provides a data synchronization method, which is used for acquiring file information corresponding to a first type of data synchronization signaling, wherein the first type of data synchronization signaling is signaling used for synchronizing a file containing original data to a service node, the original data is unprocessed data acquired by an acquisition node, and the file information comprises a file name and synchronization time; determining a heat value of the file according to the file name and the synchronization time; selecting a target file from the files according to a preset heat threshold and a heat value of the file; under the condition that the preset time condition is met, the current version of the target file is uploaded to the service node, so that the service node stores the file which is higher in synchronization probability and contains the original data in advance, and for the file, when the service node has the synchronization requirement, the service node does not need to synchronize in real time from the acquisition node and directly obtains the file locally, thereby meeting the synchronization requirement of the service node on the file containing the original data on a larger probability, effectively reducing the condition of overlong transmission time caused by responding to the first-type data synchronization signaling in real time, and improving the service level of the Internet of things system. Fig. 3 is a flowchart of a data synchronization method according to another embodiment of the present application, where the data synchronization method is applicable to an acquisition node. As shown in fig. 3, the data synchronization method includes the steps of:
Step S301, obtaining file information corresponding to the first type of data synchronization signaling.
Step S302, determining the heat value of the file according to the file name and the synchronization time.
Step S303, selecting a target file from the files according to a preset heat threshold and a heat value of the files.
Step S304, uploading the current version of the target file to the service node under the condition that the preset time condition is met.
Steps S301 to S304 in this embodiment are the same as steps S201 to S204 in the previous embodiment of the present application, and are not described here again.
Step S305, receiving a first type data synchronization signaling sent by the service node.
The first type of data synchronization signaling comprises file names of files to be synchronized.
In some embodiments, when a service node needs to acquire a file to be synchronized, a first type of data synchronization signaling is sent to an associated acquisition node. The acquisition node receives a first type data synchronization signaling sent by the service node.
Step S306, determining whether the file to be synchronized is uploaded to the service node according to the file name of the file to be synchronized.
In some embodiments, after receiving the first type of data synchronization signaling, the collection node first determines, according to a file name of a file to be synchronized, whether the file to be synchronized has been transferred to the service node.
In some implementations, the collection node stores signaling records between the collection node and the service node in a preset storage space, wherein each signaling record at least comprises a file name, synchronization time and a file version. The acquisition node judges whether signaling records with the same file name as the file to be synchronized exist in signaling records in a preset storage space through searching and other modes. If so, indicating that the file to be synchronized is uploaded to the service node; if not, the file to be synchronized is not uploaded to the service node. The preset storage space may be a local storage space of the acquisition node, or may be other types of storage spaces except for local storage space.
In step S307, in the case of determining that the file to be synchronized has been uploaded to the service node, it is determined whether the current version of the file to be synchronized is consistent with the version of the uploaded file.
In practical applications, factors such as changes in the configuration of the internet of things system and adjustment of service requirements may cause changes in the version of the file. Certain differences exist between files of different versions, so that whether the file version prestored by the service node is consistent with the file version of the acquisition node or not needs to be determined, and the data of the file version and the file version of the acquisition node are ensured to be consistent.
In some embodiments, under the condition that the file to be synchronized is determined to be uploaded to the service node, comparing whether the current version of the file to be synchronized is consistent with the version of the uploaded file, obtaining a comparison result, and determining whether the current version of the file to be synchronized is consistent with the version of the uploaded file according to the comparison result.
In some implementations, the collection node stores signaling records between the collection node and the service node in a preset storage space, wherein each signaling record at least comprises a file name, synchronization time and a file version. And under the condition that the acquisition node determines that the file to be synchronized is uploaded to the service node, comparing whether the file version of the file to be synchronized in the acquisition node is consistent with the file version in the signaling record of the file to be synchronized, which is closest to the current time, in the signaling record. If the current version of the file to be synchronized is consistent with the version of the uploaded file, the current version of the file to be synchronized is consistent with the version of the uploaded file; if the current version of the file to be synchronized is inconsistent with the version of the uploaded file, the current version of the file to be synchronized is inconsistent with the version of the uploaded file.
In step S308, in the case that the current version of the file to be synchronized is inconsistent with the version of the uploaded file, the incremental data is determined and uploaded to the service node.
The incremental data is difference data between the file to be synchronized of the current version and the file of the uploaded version. Typically, most of the data may be the same among different versions of the file, and only a small amount of the data has a difference, and the difference data is the delta data. And when the file to be synchronized is determined to be uploaded to the service node, only if the versions of the file to be synchronized are inconsistent, uploading the incremental data to the service node, and after the service node receives the incremental data, obtaining the file to be synchronized of the current version by using the incremental data and the file to be synchronized stored before the service node.
It should be noted that, only incremental data is transmitted, the data volume is greatly reduced compared with the whole file transmission, so that the data transmission pressure can be effectively reduced, and excessive data transmission resources are avoided.
For example, suppose that the version of the DOC file to be synchronized that has been uploaded to the service node is V1.0, and DOC V1.0 = { date1, date2, date3, date4}; collecting current version V2.0 of DOC (DOC) of file to be synchronized at node V2.0 ＝{date1,date2,date3,date4,date5}。
The collecting node determines that the current version of the DOC of the file to be synchronized is inconsistent with the uploaded version, and therefore, the collecting node compares the DOC V1.0 With DOC V2.0 Thus, the incremental data is determined to be "dat e5", and the acquisition node only uploads date5 to the service node. After receiving date5, the service node receives data 5 and DOC V1.0 DOC can be obtained V2.0 Wherein DOC V2.0 ＝DOC V1.0 ∪date5＝{date1,date2,date3,date4}∪date5＝{date1,date2,date3,date4,date5}。
It should be noted that, after the service node obtains the current version of the file to be synchronized based on the incremental data and the uploaded version file, version information of the file to be synchronized needs to be updated, so that in subsequent data synchronization, data synchronization operation is performed based on the updated version information.
For example, the service node depends on date5 and DOC V1.0 Obtaining DOC V2.0 After = { date1, date2, date3, date4, date5}, the service node updates the version of DOC to V2.0. Based on DOC if there is a related data request for the DOC later V2.0 And executing corresponding operations.
According to the data synchronization method provided by the embodiment of the application, after the first type of data synchronization signaling is received, the incremental data is determined according to the file name and the file version, and the incremental data is only uploaded to the service node, so that the data transmission pressure can be effectively reduced, and excessive data transmission resources are prevented from being occupied.
Fig. 4 is a flowchart of a file heat determining method according to an embodiment of the present application, where the file heat determining method may be applied to an acquisition node. As shown in fig. 4, the file heat determining method includes the steps of:
Step S401, determining the synchronization frequency of the file in a preset statistical period according to the file name and the synchronization time.
In some embodiments, the statistical period uses T j And j is the sequence number of the statistical period, and the corresponding time length of the statistical period is t.
Firstly, determining the synchronization times n of each file in each statistical period according to the file name and the synchronization time ij . Where i represents the sequence number of the file, n ij The synchronous times of the ith file in the jth statistical period are obtained.
Secondly, according to the synchronous times of the file in each statistical period and t, the synchronous frequency of the file in each statistical period can be determined. Specifically:
f ij ＝n ij /t
wherein f ij Indicating the synchronization frequency of the ith file at the jth statistical period.
Step S402, obtaining the heat component of the file in each statistical period according to the synchronous frequency of the file in each statistical period and the corresponding influence factors.
In some embodiments, the synchronization frequency of the file in each statistical period is multiplied by the influence factor of the statistical period to obtain the heat component of the file in the statistical period.
For example, the influencing factor is p j And:
p j ＝2 j-J
wherein J is the total number of statistical periods, J is the number of periods corresponding to the statistical periods, the value range of J is {1,2, …, J }, and J is an integer greater than or equal to 1, p j And the effect factor corresponding to the j-th statistical period.
Heat component h ij ＝p j *f ij . Wherein h is ij Representing the heat component of the ith file at the jth statistical period.
Step S403, obtaining the heat value of the file according to the heat component of the file in each statistical period.
In some embodiments, the file's heat components at each statistic are added, i.e., the file's heat value is obtained.
For example, the number of the cells to be processed,
wherein H is i Representing the heat value of the i-th file.
According to the file heat determining method provided by the embodiment, the influence degree of different statistical periods on the file heat is considered to be different, so that different influence factors are set for different statistical periods, heat components of the files in each statistical period are determined firstly based on the influence factors and the synchronous frequency, and then the heat components are summarized to obtain heat values of the files.
The above steps of the methods are divided, for clarity of description, and may be combined into one step or split into multiple steps when implemented, so long as they include the same logic relationship, and they are all within the protection scope of this patent; it is within the scope of this patent to add insignificant modifications to the algorithm or flow or introduce insignificant designs, but not to alter the core design of its algorithm and flow.
A second aspect of the present application provides a data synchronization apparatus. Fig. 5 is a block diagram of a data synchronization device according to an embodiment of the present application, where the data synchronization device may be applied to an acquisition node. As shown in fig. 5, the data synchronization device 500 includes the following modules:
the obtaining module 501 is configured to obtain file information corresponding to the first type of data synchronization signaling.
The determining module 502 is configured to determine a heat value of the file according to the file name and the synchronization time.
The selecting module 503 is configured to select a target file from the files according to a preset heat threshold and a heat value of the file.
An uploading module 504 configured to upload the current version of the target file to the service node if the preset time condition is satisfied.
The invention provides a data synchronization device, which is characterized in that an acquisition module acquires file information corresponding to a first type of data synchronization signaling, wherein the first type of data synchronization signaling is signaling for synchronizing a file containing original data to a service node, the original data is unprocessed data acquired by an acquisition node, and the file information comprises a file name and synchronization time; determining a heat value of the file according to the file name and the synchronization time through a determining module; selecting a target file from the files by a selection module according to a preset heat threshold and a heat value of the file; under the condition that the preset time condition is met, the uploading module uploads the current version of the target file to the service node, so that the service node prestores the file which has higher synchronization probability and contains the original data, and the service node does not need to synchronize in real time from the acquisition node and directly acquire the file in local when the synchronization requirement exists for the file, thereby meeting the synchronization requirement of the service node on the file containing the original data on a larger probability, effectively reducing the condition of overlong transmission time caused by responding to the first type data synchronization signaling in real time, and improving the service level of the Internet of things system.
Fig. 6 is a block diagram of a data synchronization device according to another embodiment of the present application, where the data synchronization device is applicable to an acquisition node. As shown in fig. 6, the data synchronization device 600 includes the following modules:
the acquiring module 601 is configured to acquire file information corresponding to the first type of data synchronization signaling.
A determining module 602 configured to determine a heat value of the file according to the file name and the synchronization time.
The selecting module 603 is configured to select a target file from the files according to a preset heat threshold and a heat value of the file.
And an uploading module 604 configured to upload the current version of the target file to the service node if the preset time condition is satisfied.
The receiving module 605 is configured to receive the first type of data synchronization signaling sent by the service node.
The first type of data synchronization signaling comprises file names of files to be synchronized.
The upload determining module 606 is configured to determine whether the file to be synchronized has been uploaded to the service node according to the file name of the file to be synchronized.
The version determining module 607 is configured to determine whether the current version of the file to be synchronized is consistent with the version of the uploaded file, in the case where it is determined that the file to be synchronized has been uploaded to the service node.
The delta determination module 608 is configured to determine delta data in case the current version of the file to be synchronized is inconsistent with the version of the uploaded file.
An upload module 604 configured to upload the incremental data to the service node.
The incremental data is difference data between the file to be synchronized of the current version and the file of the uploaded version.
According to the data synchronization device provided by the embodiment of the application, after the first type of data synchronization signaling is received, the incremental data is determined according to the file name and the file version, and the incremental data is only uploaded to the service node by the uploading module, so that the data transmission pressure can be effectively reduced, and excessive data transmission resources are prevented from being occupied.
Fig. 7 is a block diagram of a determination module provided in an embodiment of the present application, where the determination module is applicable to an acquisition node. As shown in fig. 7, the determination module 700 includes the following units:
the synchronization frequency determining unit 701 is configured to determine a synchronization frequency of the file in a preset statistical period according to the file name and the synchronization time.
The heat component obtaining unit 702 is configured to obtain the heat component of the file in each statistical period according to the synchronization frequency of the file in each statistical period and the corresponding influence factor.
A heat value acquisition unit 703 configured to obtain a heat value of the file from heat components of the file at each statistical period.
According to the determining module provided by the embodiment, different influence factors are set for different statistical periods in consideration of different influence degrees of different statistical periods on the file heat, firstly, the synchronous frequency of the file in each statistical period is determined through the synchronous frequency determining unit, then the heat component of the file in each statistical period is determined through the heat component obtaining unit based on the influence factors and the synchronous frequency, and further the heat components are summarized through the heat value obtaining unit to obtain the heat value of each file.
It should be noted that each module in this embodiment is a logic module, and in practical application, one logic unit may be one physical unit, or may be a part of one physical unit, or may be implemented by a combination of multiple physical units. In addition, in order to highlight the innovative part of the present invention, units that are not so close to solving the technical problem presented by the present invention are not introduced in the present embodiment, but this does not indicate that other units are not present in the present embodiment.
It is to be understood that the above embodiments are merely illustrative of the application of the principles of the present invention, but not in limitation thereof. Various modifications and improvements may be made by those skilled in the art without departing from the spirit and substance of the invention, and are also considered to be within the scope of the invention.
Claims (7)
1. A method of data synchronization, comprising:
acquiring file information corresponding to a first type of data synchronization signaling, wherein the first type of data synchronization signaling is signaling used for synchronizing a file containing original data to a service node, the original data is unprocessed data acquired by an acquisition node, and the file information comprises a file name and synchronization time;
determining a heat value of the file according to the file name and the synchronization time;
selecting a target file from the files according to a preset heat threshold and a heat value of the file;
uploading the current version of the target file to a service node under the condition that a preset time condition is met;
wherein, the determining the heat value of the file according to the file name and the synchronization time includes: determining the synchronization frequency of the file in a preset statistical period according to the file name and the synchronization time; obtaining a heat component of the file in each statistical period according to the synchronous frequency of the file in each statistical period and the corresponding influence factor; according to the heat component of the file in each statistical period, obtaining a heat value of the file, wherein the influence factor has a positive correlation with the period number corresponding to the statistical period;
The preset time condition is that a target statistical period is entered, the target statistical period is the next statistical period of the current statistical period, and the statistical period is a preset period for calculating the heat value of the file;
and uploading the current version of the target file to a service node under the condition that the preset time condition is met, wherein the method comprises the following steps: and uploading the current version of the target file to a service node under the condition of entering the target statistical period, wherein the target file is determined in the current statistical period.
2. The method for synchronizing data according to claim 1, wherein the obtaining the heat component of the file in each of the statistical periods according to the synchronizing frequency of the file in each of the statistical periods and the corresponding influencing factors includes:
and multiplying the synchronous frequency of the file in each statistical period with a corresponding influence factor to obtain the heat component of the file in each statistical period.
3. The method for synchronizing data according to claim 1, wherein the obtaining the heat value of the file according to the heat component of the file in each of the statistical periods comprises:
And summing the heat components of the file in each statistical period to obtain the heat value of the file.
4. The data synchronization method according to claim 1, wherein the influence factor is set by formula (1):
p j ＝2 j-J (1)
wherein J is the total number of the statistical periods, J is the number of periods corresponding to the statistical periods, and p is the influence factor corresponding to the J-th statistical period.
5. The method for synchronizing data according to claim 1, wherein selecting the target file from the files according to the preset heat threshold and the heat value of the file comprises:
sorting the files according to the heat value of the files to obtain a file sequence;
and selecting the target file from the file sequence according to the heat threshold and the heat value of the file, wherein the target file is a file with the heat value larger than or equal to the heat threshold in the file sequence.
6. The method for synchronizing data according to claim 1, wherein after uploading the current version of the target file to a service node if a preset time condition is satisfied, further comprising:
Receiving a first type data synchronization signaling sent by the service node, wherein the first type data synchronization signaling comprises a file name of a file to be synchronized;
determining whether the file to be synchronized is uploaded to the service node according to the file name of the file to be synchronized;
under the condition that the file to be synchronized is uploaded to the service node, determining whether the current version of the file to be synchronized is consistent with the version of the uploaded file;
and under the condition that the current version of the file to be synchronized is inconsistent with the version of the uploaded file, determining incremental data, and uploading the incremental data to the service node, wherein the incremental data is difference data between the file to be synchronized of the current version and the file of the uploaded version.
7. A data synchronization device, comprising:
the system comprises an acquisition module, a synchronization module and a synchronization module, wherein the acquisition module is configured to acquire file information corresponding to a first type of data synchronization signaling, the first type of data synchronization signaling is signaling used for synchronizing a file containing original data to a service node, the original data is unprocessed data acquired by an acquisition node, and the file information comprises a file name and synchronization time;
The determining module is configured to determine a heat value of the file according to the file name and the synchronous time;
the selecting module is configured to select a target file from the files according to a preset heat threshold and the heat value of the files;
an uploading module configured to upload the current version of the target file to a service node if a preset time condition is satisfied
Wherein the determining module is configured to perform: determining the synchronization frequency of the file in a preset statistical period according to the file name and the synchronization time; obtaining a heat component of the file in each statistical period according to the synchronous frequency of the file in each statistical period and the corresponding influence factor; according to the heat component of the file in each statistical period, obtaining a heat value of the file, wherein the influence factor has a positive correlation with the period number corresponding to the statistical period;
the preset time condition is that a target statistical period is entered, the target statistical period is the next statistical period of the current statistical period, and the statistical period is a preset period for calculating the heat value of the file;
The uploading module is used for executing: and uploading the current version of the target file to a service node under the condition of entering the target statistical period, wherein the target file is determined in the current statistical period.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110748865.6A CN113485973B (en) | 2021-07-02 | 2021-07-02 | Data synchronization method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110748865.6A CN113485973B (en) | 2021-07-02 | 2021-07-02 | Data synchronization method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113485973A CN113485973A (en) | 2021-10-08 |
| CN113485973B true CN113485973B (en) | 2023-05-16 |
Family
ID=77939474
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110748865.6A Active CN113485973B (en) | 2021-07-02 | 2021-07-02 | Data synchronization method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113485973B (en) |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102244900A (en) * | 2011-07-15 | 2011-11-16 | 上海华为技术有限公司 | Method, device and system for synchronizing cached data heat value, and distributed caching method |
| CN104468483A (en) * | 2013-09-22 | 2015-03-25 | 腾讯科技（深圳）有限公司 | Data transmission method and system, control device and node device |
| CA2867589A1 (en) * | 2013-10-15 | 2015-04-15 | Coho Data Inc. | Systems, methods and devices for implementing data management in a distributed data storage system |
| CA2957584A1 (en) * | 2016-02-12 | 2017-08-12 | Coho Data, Inc. | Methods, systems, and devices for adaptive data resource assignment and placement in distributed data storage systems |
| CN107302561A (en) * | 2017-05-23 | 2017-10-27 | 南京邮电大学 | A kind of hot spot data Replica placement method in cloud storage system |
| CN107666516A (en) * | 2017-09-20 | 2018-02-06 | 重庆邮电大学 | A kind of method for ensureing kafka company-data uniformity based on message temperature |
| WO2018219178A1 (en) * | 2017-05-27 | 2018-12-06 | Oppo广东移动通信有限公司 | Data synchronization method and apparatus, server, and storage medium |
| CN109241427A (en) * | 2018-09-04 | 2019-01-18 | 中国平安人寿保险股份有限公司 | Information-pushing method, device, computer equipment and storage medium |
| WO2021051839A1 (en) * | 2019-09-18 | 2021-03-25 | 深圳市网心科技有限公司 | Data processing method, apparatus and system and storage medium |
-
2021
- 2021-07-02 CN CN202110748865.6A patent/CN113485973B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102244900A (en) * | 2011-07-15 | 2011-11-16 | 上海华为技术有限公司 | Method, device and system for synchronizing cached data heat value, and distributed caching method |
| CN104468483A (en) * | 2013-09-22 | 2015-03-25 | 腾讯科技（深圳）有限公司 | Data transmission method and system, control device and node device |
| CA2867589A1 (en) * | 2013-10-15 | 2015-04-15 | Coho Data Inc. | Systems, methods and devices for implementing data management in a distributed data storage system |
| CA2957584A1 (en) * | 2016-02-12 | 2017-08-12 | Coho Data, Inc. | Methods, systems, and devices for adaptive data resource assignment and placement in distributed data storage systems |
| CN107302561A (en) * | 2017-05-23 | 2017-10-27 | 南京邮电大学 | A kind of hot spot data Replica placement method in cloud storage system |
| WO2018219178A1 (en) * | 2017-05-27 | 2018-12-06 | Oppo广东移动通信有限公司 | Data synchronization method and apparatus, server, and storage medium |
| CN107666516A (en) * | 2017-09-20 | 2018-02-06 | 重庆邮电大学 | A kind of method for ensureing kafka company-data uniformity based on message temperature |
| CN109241427A (en) * | 2018-09-04 | 2019-01-18 | 中国平安人寿保险股份有限公司 | Information-pushing method, device, computer equipment and storage medium |
| WO2021051839A1 (en) * | 2019-09-18 | 2021-03-25 | 深圳市网心科技有限公司 | Data processing method, apparatus and system and storage medium |
Non-Patent Citations (2)
| Title |
|---|
| Karun A K等.a review on hadoop hdfs infrastructure.2013 IEEE conference on information communication technologies.2013,132-137. * |
| MapReduce大数据处理平台与算法研究进展;宋杰;孙宗哲;毛克明;鲍玉斌;于戈;;软件学报(第03期);514-543 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113485973A (en) | 2021-10-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| WO2019184836A1 (en) | Data analysis device, and multi-model co-decision system and method | |
| CN109729017B (en) | Load balancing method based on DPI prediction | |
| CN114125785A (en) | Low-delay high-reliability transmission method, device, equipment and medium for digital twin network | |
| CN111182048A (en) | Intelligent traffic management method based on crowd sensing enabled by block chain | |
| CN110505307B (en) | Method and system for exchanging traffic flow data between networks | |
| CN114356544A (en) | Parallel computing method and system facing edge cluster | |
| CN113485973B (en) | Data synchronization method and device | |
| CN110933000B (en) | Distributed data multi-stage aggregation method, device, server and storage medium | |
| CN116600329A (en) | Message error identification code delimitation method and device | |
| Wieselthier et al. | Standard clock simulation and ordinal optimization applied to admission control in integrated communication networks | |
| CN114154018B (en) | Cloud-edge collaborative video stream processing method and system for unmanned system | |
| CN115720212A (en) | Network flow prediction and automatic optimization balancing method based on multi-source data fusion | |
| Wieselthier et al. | Ordinal optimization of admission control in wireless multihop voice/data networks via standard clock simulation | |
| Chlamtac et al. | Performance models of asynchronous multitrunk HYPERchannel networks | |
| CN112738225A (en) | Edge calculation method based on artificial intelligence | |
| Jiang et al. | PS: Periodic strategy for the 40-100Gbps energy efficient Ethernet | |
| CN114463601B (en) | Big data-based target identification data processing system | |
| CN113608909B (en) | Data processing method, apparatus, device, system, storage medium and program product | |
| CN113179484B (en) | IDNC network coding method based on Internet of vehicles model | |
| CN111065100B (en) | Threat analysis method and device and threat analysis system | |
| CN111400152B (en) | Data processing method, first server and second server | |
| JPH0934721A (en) | Data analyzer | |
| CN116248768A (en) | Multidimensional parallel scheduling system | |
| Zhao et al. | A scheduling method of cross-layers optimization of polling weight for AOS Multiplexing | |
| CN116980840A (en) | Interactive communication management system and method based on 5G communication |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |