CN115269595A

CN115269595A - Data label management method, system, medium and device based on data middlebox

Info

Publication number: CN115269595A
Application number: CN202210857569.4A
Authority: CN
Inventors: 张�成; 傅群慧; 向明; 朱尧
Original assignee: Pingan Payment Technology Service Co Ltd
Current assignee: Pingan Payment Technology Service Co Ltd
Priority date: 2022-07-20
Filing date: 2022-07-20
Publication date: 2022-11-01

Abstract

The present disclosure relates to a data tag management method, system, medium, and device based on a data middlebox, the method comprising: scanning a first data label in a data center station by using a data label scanning tool and extracting to obtain the first data label; performing blood margin analysis processing on the extracted plurality of first data tags to obtain processed second data tags; deploying the processed second data tag in a test environment, comparing the processed second data tag with the stock tag, judging whether the processed second data tag is consistent with the stock tag, and if the processed second data tag is consistent with the stock tag, not connecting the second data tag; and if the data tags are not consistent, the data tags are online and configured. Compared with the prior art, the system and the method have the advantages that the on-line label checking scheme provided by the disclosure can compare whether the on-line label and the stock label are repeated or not, the problems of label repeated development and on-line are solved, and the complexity and the system redundancy are reduced.

Description

Data label management method, system, medium and device based on data middlebox

Technical Field

The present disclosure relates to the field of data tag management technologies, and more particularly, to a data tag management method, system, medium, and device based on a data middlebox.

Background

The data label is used as a data existence form with the highest value density in a data warehouse system, and the efficient management and use of the data label directly influence the operation decision and the income of a company; the management of the data tags is crucial. In the current market, a data management system of an enterprise generally includes scheduling management, table management and the like, that is, a comprehensive systematic closed-loop management is not specially performed for the labels, and the following management methods existing in the industry at present are as follows:

for the management of the tag field, the existing data management system can see all the tag fields on the table management module, or look up the tag, and can look up the table where the tag is located: for example, if the tag field a exists in both table1 and table2, that is, if the table a is input, the table name of table1, the a field and the table name a field of table2 can be retrieved; then, in the data monitoring system, alarm monitoring can be set for the generation time, the volatility and the data volume of a certain label field of a certain table.

However, these label systems and label management measures at present do not form a body system, and are too simple to solve some problems in daily production and use:

such as: the problem of label repeated development online exists; and the problem of resource waste caused by low utilization rate of part of labels after the labels are on line.

Disclosure of Invention

The label system aims to solve the technical problem that resource waste is easily caused by label system and label management measures in the prior art.

In order to achieve the above technical object, the present disclosure provides a data label management method based on a data middlebox, including:

scanning a first data label in a data middle station by using a data label scanning tool and extracting to obtain the first data label;

performing blood margin analysis processing on the extracted plurality of first data labels to obtain processed second data labels;

deploying the processed second data tag into a test environment, comparing the processed second data tag with the stock tag, judging whether the processed second data tag is consistent with the stock tag, and if so, not uploading the second data tag; and if the data tags are not consistent, the data tags are online and configured.

Further, the obtaining of the processed second data tag by performing the blood-related analysis processing on the extracted plurality of first data tags specifically includes:

performing blood margin analysis processing on the extracted plurality of first data labels according to the label data types;

judging whether the first data tags are consistent, and if so, classifying the first data tags into the same first data tag; if not, not processing;

an ID is configured according to the first data tag after the blood vessel analysis process and a new second data tag is generated.

Further, the tag data types specifically include:

tag generation logic, tag field type, and/or data tag result distribution.

Further, after performing blood-related analysis processing on the extracted plurality of first data tags to obtain a processed second data tag, the method further includes:

and labeling the second data tag, and configuring the validity period, the service use and/or the application system of the tag.

Further, the step of deploying the processed second data tag into the test environment and comparing the processed second data tag with the inventory tag to determine whether the processed second data tag is consistent with the inventory tag specifically includes:

and deploying the processed second data tags in a test environment to be compared with inventory tags, and judging whether a source table of the tags, a tag generation mode, a tag data result and tag data distribution are consistent.

Further, after the step of deploying the processed second data tag into the test environment and comparing the processed second data tag with the stock tag to determine whether the processed second data tag is consistent with the stock tag, the method further comprises the following steps:

and carrying out change processing or offline processing on the second data label according to the current service condition.

Further, the change processing specifically includes:

changing the type of the tag data in the second data tag;

the offline processing specifically comprises:

and offline the second data label which is not updated by the service party after the preset time threshold value is expired.

To achieve the above technical object, the present disclosure can also provide a data tag management system based on a data middlebox, including:

the tag extraction module is used for scanning a first data tag in the data center station by using a data tag scanning tool and extracting the first data tag to obtain the first data tag;

the label processing module is used for performing blood vessel analysis processing on the extracted plurality of first data labels to obtain processed second data labels;

the tag online module is used for deploying the processed second data tags into a test environment to compare with stock tags to judge whether the processed second data tags are consistent with the stock tags, and if so, the second data tags are not online; and if the data tags are not consistent, the data tag is online and configured.

To achieve the above technical objects, the present disclosure can also provide a computer storage medium having a computer program stored thereon, the computer program being executed by a processor to implement the steps of the above data center-based data tag management method.

In order to achieve the above technical object, the present disclosure further provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the steps of the data label management method based on the data middlebox when executing the computer program.

The beneficial effect of this disclosure does:

compared with the prior art, the global label scanning scheme provided by the disclosure solves the problem that label assets are recorded manually in label combing and errors are easily confused, and realizes standardization and automation of all label asset management;

compared with the method for registering the unique ID in the label in the scheme provided by the disclosure before improvement, the problems that the label is difficult to search, the label meaning is fuzzy and difficult to distinguish when the label is actually managed and used are solved, and the complexity is reduced;

compared with the prior art, the on-line verification scheme of the label provided by the disclosure can compare whether the on-line label and the stock label are repeated or not, so that the problems of repeated development and on-line of the label are solved, and the complexity and system redundancy are reduced;

compared with the prior art, the label application analysis module provided by the disclosure monitors the use whole scene of the label, so that an enterprise can more comprehensively know the use and application conditions of the label in each system, the value of the label is maximized, and the user experience is improved;

compared with the prior art, the label validity period and the label offline method provided by the disclosure solve the problems of redundancy of label data and long-term occupation of system resources by invalid data, and reduce the occupation of storage space;

compared with the prior art, the scheme provided by the invention is comprehensive, systematic and reliable, is simple and convenient to use, and is a practical, effective and reproducible popularization method.

Drawings

Figure 1 shows a flow diagram schematic of the method of embodiment 1 of the present disclosure;

figure 2 shows a flow diagram schematic of the method of embodiment 1 of the present disclosure;

fig. 3 shows a flow diagram of the method of embodiment 1 of the present disclosure;

fig. 4 shows a schematic structural diagram of a system of embodiment 2 of the present disclosure;

fig. 5 shows a schematic structural diagram of a system of embodiment 2 of the present disclosure;

fig. 6 shows a schematic structural diagram of embodiment 4 of the present disclosure.

Detailed Description

Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. It should be understood that the description is illustrative only and is not intended to limit the scope of the present disclosure. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present disclosure.

Various structural schematics according to embodiments of the present disclosure are shown in the figures. The figures are not drawn to scale, wherein certain details are exaggerated and some details may be omitted for clarity of presentation. The shapes of various regions, layers, and relative sizes and positional relationships therebetween shown in the drawings are merely exemplary, and deviations may occur in practice due to manufacturing tolerances or technical limitations, and a person skilled in the art may additionally design regions/layers having different shapes, sizes, relative positions, as actually required.

Along with the rapid development of IT technologies such as cloud computing, big data, artificial intelligence and the like and the realization of rapid fusion with the traditional industry, the industrial change brought by digitalization and intelligent transformation is being bred.

With the continuous enlargement of enterprise scale and diversification of business, the operation of the middle platform service architecture. The 'double middleboxes + ET' digitalized transformation methodology published in ali this year, and the 'double middleboxes' refer to digital middleboxes and business middleboxes.

What the station is in the data:

the data center station is used for acquiring, calculating, storing and processing mass data through a data technology, and simultaneously unifying the standard and the caliber. After the data are unified by the data center, standard data can be formed and stored to form a big data asset layer, and then efficient service is provided for customers. The services have strong relevance with the business of the enterprise, are unique and reusable for the enterprise, are the precipitation of business and data of the enterprise, can reduce the repeated construction and the cost of chimney type cooperation, and are the place of the differentiated competitive advantages.

The data center station in the broad sense includes data technologies, such as a series of technical sets for collecting, calculating, storing and processing mass data, and the data center station in the present discussion includes data models, algorithm services, data products, data management and the like, has strong correlation with business of enterprises, is unique and reusable for the enterprises, such as 2000 basic models, 300 fusion models and 5 ten thousand labels built by the enterprises. The method is the precipitation of enterprise business and data, can reduce repeated construction and reduce the cost of chimney type cooperation, and is also the place of differentiated competitive advantages.

Reasons for establishing stations in the data:

the situation faced by a data center station may be a bit more complex than a business center station. Reasons for establishing stations in the data:

big data can tell the decision maker some potential rules to justify or judge the decision with the data. In the past, we would use data to prove that our decision is wrong, and now we use data to guide our decision making. In the big data era, the sample is the whole, and the big data can prevent counterfeiting and deviation.

And (5) carrying out artificial intelligence by data induction. The data is the root of the artificial intelligence and can be fused to form new data. Data gives us infinite innovation, letting us go on trying.

Data is the instructions of the robot and we form the data service thinking. Data is constantly changed, machine intelligence becomes a decision-making link, and operation can be intelligentized.

The purpose of the middle station is to improve efficiency, realize data operation and better support service development and innovation, and is responsible and cooperative for multiple fields, multiple BUs and multiple systems. The middle platform is a platform natural evolution, the evolution brings a decentralized organization mode, and the capabilities of capability multiplexing and coordination control and the differentiated construction capability of service innovation are highlighted.

The first embodiment is as follows:

as shown in fig. 1:

a data label management method based on a data center station comprises the following steps:

s101: scanning a first data label in a data center station by using a data label scanning tool and extracting to obtain the first data label;

s102: performing blood margin analysis processing on the extracted plurality of first data tags to obtain processed second data tags;

s103: deploying the processed second data tag into a test environment, comparing the processed second data tag with the stock tag, judging whether the processed second data tag is consistent with the stock tag, and if so, not uploading the second data tag; and if the data tags are not consistent, the data tags are online and configured.

Further, the step S102 specifically includes:

In step S101, firstly, a label scanning program (custom toolkit) is developed using java language to uniformly scan all labels in a data middle station (data warehouse) and extract to obtain a first data label.

In step S102, checking the upstream dependency and generation logic of the first data tag, the tag field type, and the data result distribution by blood-related analysis, and if they are consistent, they are the same tag; the system automatically registers a tag for each unique tag and generates the information and a unique ID number for the tag.

Therefore, each label of the system can be found in the system without manual inquiry and record.

Further, the tag data types specifically include:

tag generation logic, tag field type, and/or data tag result distribution.

Further, after S102, the method further includes:

s104: and labeling the second data tag, and configuring the validity period, the service use and/or the application system of the tag.

In step S104, the tag developer configures necessary chinese explanations and detailed meanings for the registered tags, and configures the validity period, service usage, application system, and the like of the tags according to the service requirements, thereby implementing online management of all tags;

and deploying the processed second data tags in a test environment to compare the processed second data tags with inventory tags, and judging whether a source table of the tags, a tag generation mode, a tag data result and tag data distribution are consistent.

In step S103, for the newly developed online tag, the middlebox developer deploys the new tag code into the test environment, the verification program automatically scans the new tag code and compares the tag information with the stock, if the source table, the generated code, the tag data result, and the data distribution are completely consistent, the tag already exists in the system, and no new online is required, and if not, the new tag is online.

The new label can be found in the label inquiring and displaying subsystem after being displayed on line, the new label can be displayed on the home page of the label management system and notifies the business personnel and the middle platform developer of the new label by mails, and the frequency of using the label after being displayed on line in the development platform and the scheduling system and the application effect in the application system can be displayed in the label displaying system.

As shown in the figure 3 of the drawings,

further, after S103, the method further includes:

s105: and carrying out change processing or offline processing on the second data label according to the current service condition.

Further, the change processing specifically includes:

changing the type of the tag data in the second data tag;

the offline processing specifically comprises:

and offline the second data label which is not renewed by the service party after a preset time threshold value is expired.

In step S105, the label after being on-line is mainly maintained during use, and there are mainly label change processing and label off-line processing.

After the service requirement is adjusted, the corresponding label service logic may also need to be changed, at this time, the label logic is changed, the label ID is not changed, and only the configuration information such as the corresponding source table, the field explanation, the specific meaning and the like are changed; the label after being on line analyzes the use condition of the label through a label query and analysis subsystem, a developer and a service party can be automatically pushed to a label system with the expiration date, after the developer and the service party confirm the duration, the label automatically continues, the label which does not continue is confirmed to the developer and the service party, the label can be set to be off-line after a period of time (such as 1 month), and the label field can be automatically deleted by the system; thereby enabling closed-loop management of all tag assets.

Example two:

as shown in fig. 4, to achieve the above technical object, the present disclosure can also provide a data tag management system 200 based on a data center, including:

the tag extraction module 201 is configured to scan a first data tag in a data console by using a data tag scanning tool and extract the first data tag to obtain the first data tag;

the tag processing module 202 is configured to perform blood-related analysis processing on the extracted multiple first data tags to obtain processed second data tags;

the tag online module 203 is configured to deploy the processed second data tag into a test environment, compare the processed second data tag with the stock tag, and determine whether the processed second data tag is consistent with the stock tag, and if so, not online the second data tag; and if the data tags are not consistent, the data tag is online and configured.

The tag processing module 202 is specifically configured to:

As shown in fig. 5, the data tag management system 200 based on the data center station according to the present disclosure further includes:

and the label labeling module 204 is configured to label the second data label, and configure a validity period, a service use and/or an application system of the label.

And the tag change processing module 205 is configured to perform change processing or offline processing on the second data tag according to the current service status.

Compared with the prior art, the system and the method have the advantages that the global label scanning scheme provided by the disclosure solves the problem that label assets are recorded manually and mistakes are easily confused in label combing, and realizes standardization and automation of all label asset management;

compared with the method for registering the unique ID in the label in the scheme provided by the disclosure before improvement, the system and the method solve the problems that the label is difficult to search, the label meaning is fuzzy and the labels with similar meanings are difficult to distinguish in the actual management and use of the label, and reduce the complexity;

compared with the prior art, the system and the method have the advantages that the on-line tag verification scheme provided by the disclosure can compare whether the on-line tag and the stock tag are repeated or not, so that the problems of repeated development and on-line of the tag are solved, and the complexity and the system redundancy are reduced;

compared with the prior art, the system and the method have the advantages that the label application analysis module monitors the use whole scene of the label, so that an enterprise can more comprehensively know the use and application conditions of the label in each system, the value of the label is maximized, and the user experience is improved;

compared with the prior art, the system and the method have the advantages that the label validity period and the label offline method solve the problems that label data are redundant and invalid data occupy system resources for a long time, and reduce the occupation of storage space;

compared with the prior art, the system and the method provided by the invention have the advantages of comprehensive, systematic and reliable scheme, simple and convenient use, and practical, effective and reproducible popularization.

Example three:

the present disclosure can also provide a computer storage medium having stored thereon a computer program for implementing the steps of the above-described data middlebox-based data tag management method when executed by a processor.

The computer storage medium of the present disclosure may be implemented with a semiconductor memory, a magnetic core memory, a magnetic drum memory, or a magnetic disk memory.

Semiconductor memories are mainly used as semiconductor memory elements of computers, and mainly include Mos and bipolar memory elements. Mos components have high integration, simple process but slow speed. The bipolar element has the advantages of complex process, high power consumption, low integration level and high speed. NMos and CMos were introduced to make Mos memory dominate in semiconductor memory. NMos is fast, e.g. 45ns for 1K bit sram from intel. CMos power consumption is low, and the access time of the 4K-bit CMos static memory is 300ns. The semiconductor memories described above are all Random Access Memories (RAMs), i.e. they can read and write new contents randomly during operation. And a semiconductor Read Only Memory (ROM), which can be read out randomly but not written in during operation, is used to store solidified programs and data. The ROM is classified into a non-rewritable fuse type ROM, PROM, and a rewritable EPROM.

The magnetic core memory has the characteristics of low cost and high reliability, and has more than 20 years of practical use experience. Magnetic core memories were widely used as main memories before the mid 70's. The storage capacity can reach more than 10 bits, and the access time is 300ns at the fastest speed. The international typical magnetic core memory capacity is 4 MS-8 MB, and the access cycle is 1.0-1.5 mus. After semiconductor memory is rapidly developed to replace magnetic core memory as a main memory location, magnetic core memory can still be applied as a large-capacity expansion memory.

Drum memory, an external memory for magnetic recording. Because of its fast information access speed and stable and reliable operation, although its capacity is smaller and is gradually replaced by disk memory, it is still used as external memory for real-time process control computers and medium and large computers. In order to meet the needs of small and micro computers, subminiature magnetic drums have emerged, which are small, lightweight, highly reliable, and convenient to use.

Magnetic disk memory, an external memory for magnetic recording. It has both the advantages of drum and tape storage, i.e. its storage capacity is larger than that of drum, its access speed is faster than that of tape storage, and it can be stored off-line, so that the magnetic disk is widely used as large capacity external storage in various computer systems. Magnetic disks are generally classified into two main categories, hard disks and floppy disk memories.

Hard disk memories are of a wide variety. The structure is divided into a replaceable type and a fixed type. The replaceable disk plate can be exchanged, and the fixed disk plate is fixed. The replaceable and fixed magnetic disks have both multi-disk combination and single-chip structure, and can be divided into fixed head type and movable head type. The fixed head type magnetic disk has a small capacity, a low recording density, a high access speed, and a high cost. The movable head type magnetic disk has a high recording density (up to 1000 to 6250 bits/inch) and thus a large capacity, but has a low access speed relative to a fixed head magnetic disk. The storage capacity of a magnetic disk product may be several hundred megabytes with a bit density of 6 bits per inch and a track density of 475 tracks per inch. The disk set of the multiple replaceable disk memory can be replaced, so that the disk set has large off-body capacity, large capacity and high speed, can store large-capacity information data, and is widely applied to an online information retrieval system and a database management system.

Example four:

the present disclosure also provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the steps of the data tag management method based on the data middlebox are implemented.

Fig. 6 is a schematic diagram of an internal structure of an electronic device in one embodiment. As shown in fig. 6, the electronic device includes a processor, a storage medium, a memory, and a network interface connected through a system bus. The storage medium of the computer device stores an operating system, a database and computer readable instructions, the database can store control information sequences, and the computer readable instructions, when executed by the processor, can cause the processor to implement a data label management method based on a data center. The processor of the electrical device is used to provide computing and control capabilities to support the operation of the entire computer device. The memory of the computer device may have stored therein computer readable instructions that, when executed by the processor, may cause the processor to perform a method for data tag management based on a station in data. The network interface of the computer device is used for connecting and communicating with the terminal. Those skilled in the art will appreciate that the architecture shown in fig. 6 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.

The electronic device includes, but is not limited to, a smart phone, a computer, a tablet, a wearable smart device, an artificial smart device, a mobile power source, and the like.

The processor may be composed of an integrated circuit in some embodiments, for example, a single packaged integrated circuit, or may be composed of a plurality of integrated circuits packaged with the same or different functions, including one or more Central Processing Units (CPUs), microprocessors, digital Processing chips, graphics processors, and combinations of various control chips. The processor is a Control Unit of the electronic device, connects various components of the electronic device by using various interfaces and lines, and executes various functions and processes data of the electronic device by running or executing programs or modules (for example, executing remote data reading and writing programs, etc.) stored in the memory and calling data stored in the memory.

The bus may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. The bus is arranged to enable connected communication between the memory and at least one processor or the like.

Fig. 6 shows only an electronic device having components, and those skilled in the art will appreciate that the structure shown in fig. 6 does not constitute a limitation of the electronic device, and may include fewer or more components than those shown, or some components may be combined, or a different arrangement of components.

For example, although not shown, the electronic device may further include a power supply (such as a battery) for supplying power to each component, and preferably, the power supply may be logically connected to the at least one processor through a power management device, so that functions such as charge management, discharge management, and power consumption management are implemented through the power management device. The power supply may also include any component of one or more dc or ac power sources, recharging devices, power failure detection circuitry, power converters or inverters, power status indicators, and the like. The electronic device may further include various sensors, a bluetooth module, a Wi-Fi module, and the like, which are not described herein again.

Further, the electronic device may further include a network interface, and optionally, the network interface may include a wired interface and/or a wireless interface (such as a WI-FI interface, a bluetooth interface, etc.), which are generally used to establish a communication connection between the electronic device and another electronic device.

Optionally, the electronic device may further comprise a user interface, which may be a Display (Display), an input unit (such as a Keyboard), and optionally a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, or the like. The display, which may also be referred to as a display screen or display unit, is suitable, among other things, for displaying information processed in the electronic device and for displaying a visualized user interface.

Further, the computer-usable storage medium may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function, and the like; the storage data area may store data created according to the use of the blockchain node, and the like.

In the several embodiments provided in the present invention, it should be understood that the disclosed apparatus, device and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is only one logical functional division, and other divisions may be realized in practice.

The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one position, or may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.

In addition, functional modules in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional module.

The embodiments of the present disclosure have been described above. However, these examples are for illustrative purposes only and are not intended to limit the scope of the present disclosure. The scope of the disclosure is defined by the appended claims and equivalents thereof. Various alternatives and modifications can be devised by those skilled in the art without departing from the scope of the present disclosure, and such alternatives and modifications are intended to be within the scope of the present disclosure.

Claims

1. A data label management method based on a data center is characterized by comprising the following steps:

scanning a first data label in a data center station by using a data label scanning tool and extracting to obtain the first data label;

deploying the processed second data tag into a test environment, comparing the processed second data tag with the stock tag, judging whether the processed second data tag is consistent with the stock tag, and if so, not uploading the second data tag; and if the data tags are not consistent, the data tag is online and configured.

2. The method according to claim 1, wherein the obtaining of the processed second data tag by performing the blood-related analysis processing on the extracted plurality of first data tags specifically comprises:

3. The method according to claim 2, wherein the tag data type specifically comprises:

tag generation logic, tag field type, and/or data tag result distribution.

4. The method of claim 1, wherein after performing the blood-based analysis on the extracted plurality of first data tags to obtain a processed second data tag, the method further comprises:

5. The method of claim 1, wherein the step of deploying the processed second data tag into the test environment to compare the processed second data tag with the inventory tag to determine whether the processed second data tag is consistent with the inventory tag comprises:

6. The method according to any one of claims 1 to 5, wherein the step of deploying the processed second data tag into the test environment to compare with the inventory tag to determine whether the processed second data tag is consistent with the inventory tag further comprises:

7. The method according to claim 6, wherein the change processing specifically includes:

changing the type of the tag data in the second data tag;

the offline processing specifically comprises:

8. A data station-based data tag management system, comprising:

the label processing module is used for performing blood margin analysis processing on the extracted plurality of first data labels to obtain processed second data labels;

9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps corresponding to the data-middlebox-based data tag management method of any one of claims 1 to 7 when executing the computer program.

10. A computer storage medium having stored thereon computer program instructions for implementing the corresponding steps of the data-middlebox-based data tag management method of any one of claims 1-7 when executed by a processor.