CN117555490A - Data virtualization management method, device, equipment and medium - Google Patents
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/06—Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
- G06F3/0601—Interfaces specially adapted for storage systems
- G06F3/0628—Interfaces specially adapted for storage systems making use of a particular technique
- G06F3/0662—Virtualisation aspects
- G06F3/0665—Virtualisation aspects at area level, e.g. provisioning of virtual or logical volumes
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/06—Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
- G06F3/0601—Interfaces specially adapted for storage systems
- G06F3/0602—Interfaces specially adapted for storage systems specifically adapted to achieve a particular effect
- G06F3/0604—Improving or facilitating administration, e.g. storage management
- G06F3/0607—Improving or facilitating administration, e.g. storage management by facilitating the process of upgrading existing storage systems, e.g. for improving compatibility between host and storage device
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- G06F3/06—Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
- G06F3/0601—Interfaces specially adapted for storage systems
- G06F3/0628—Interfaces specially adapted for storage systems making use of a particular technique
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- G06F3/0628—Interfaces specially adapted for storage systems making use of a particular technique
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Abstract
The application relates to a data virtualization management method, a device, equipment and a medium, which are applied to the technical field of data processing, wherein the method comprises the following steps: acquiring the data type and the data size of the data to be managed; determining an expected storage location of the data to be managed based on the data type; acquiring running environment information of the expected storage position, and creating a virtual space based on the expected storage position and the running environment information; determining a management scheme of the data to be managed based on the expected storage location and the data size; operating the management scheme in the virtual space to generate an operation result; and managing the data to be managed based on the operation result and the management scheme. The method and the device have the effect of realizing flexible management of the data.
Description
Technical Field
The present disclosure relates to the field of data processing technologies, and in particular, to a data virtualization management method, device, apparatus, and medium.
Background
The rapid development of electronic technology is promoted by the demands of vast users, more and more electronic products are applied to various industries, and along with the wide application of the electronic products, most of paper data are converted into electronic data, so that the data volume is rapidly increased, and how to manage the data becomes important.
Disclosure of Invention
In order to achieve flexible management of data, the application provides a data virtualization management method, device, equipment and medium.
In a first aspect, the present application provides a data virtualization management method, which adopts the following technical scheme:
a data virtualization management method, comprising:
acquiring the data type and the data size of the data to be managed;
determining an expected storage location of the data to be managed based on the data type;
acquiring running environment information of the expected storage position, and creating a virtual space based on the expected storage position and the running environment information;
determining a management scheme of the data to be managed based on the expected storage location and the data size;
operating the management scheme in the virtual space to generate an operation result;
and managing the data to be managed based on the operation result and the management scheme.
By adopting the technical scheme, when data management is carried out, the virtual space is created through the virtualization technology, the data to be managed is virtually managed through the virtual space, the data of different types and sizes can be uniformly managed and optimized, and the test operation is carried out in the virtual space, so that the final storage is more close to reality, and the problem existing in the virtual space can be processed before the test operation is carried out in the virtual space, so that the data loss or damage caused by unreasonable data distribution is reduced, and the flexible management of the data is realized.
Optionally, the determining the expected storage location of the data to be managed based on the data type includes:
acquiring data storage information, wherein the data storage information comprises a data storage grade and a data storage range corresponding to the data storage grade;
acquiring the data grade of the data to be managed;
selecting among the data storage ranges based on the data level and the data storage level, determining a target storage range;
judging whether data storage is allowed or not based on the data storage range and the data type;
if data storage is allowed, determining an expected storage position based on the data size and the target storage range;
if the data storage is not allowed, acquiring an adjustment rule;
an expected storage location is determined based on the adjustment rule, the data type, the data size, and the target storage range.
Optionally, the determining the expected storage location based on the adjustment rule, the data type, the data size, and the target storage range includes:
determining an allowable storage level based on the adjustment rule and the data level;
adjusting the target storage range based on the allowable storage level and the data type, and generating a storage range to be used;
and determining an expected storage position based on the data size and the storage range to be used.
Optionally, the creating a virtual space based on the projected storage location and the running environment information includes:
acquiring the storage size and the storage grade of the expected storage position;
determining a virtual creation level based on the storage size and the storage level;
determining a creation time length based on the virtual creation level;
and creating a virtual space based on the creation time period, the storage size and the running environment information.
Optionally, the determining the management scheme of the data to be managed based on the expected storage location and the data size includes:
determining a storage duty cycle of the data to be managed based on the projected storage location and the data size;
generating an operational trend graph based on the storage duty cycle and the operational environment information;
judging whether the data to be managed need to be stored and adjusted or not based on the running trend graph;
if the data to be managed need to be stored and adjusted, adjusting the predicted storage position based on the data size to generate an adjusted storage position;
generating a management scheme based on the adjusted storage location and the data type;
and if the data to be managed does not need to be stored and adjusted, generating a management scheme based on the expected storage position and the data type.
Optionally, managing the data to be managed based on the operation result and the management scheme includes:
acquiring an operation scoring rule, and generating an operation score based on the operation scoring rule and the operation result;
judging whether the running score is not smaller than a preset scoring threshold value or not;
if the running score is not smaller than a preset scoring threshold, managing the data to be managed based on the management scheme;
if the operation score is smaller than a preset score threshold, adjusting the management scheme based on the operation result to generate an adjustment result;
and managing the data to be managed based on the adjustment result.
Optionally, after the managing the data to be managed based on the operation result and the management scheme, the method further includes:
marking the management schemes with the running scores smaller than the preset scoring threshold value to generate marking schemes;
when a new management scheme is generated, comparing the new management scheme with the marking scheme to generate a comparison result;
and if the comparison results are consistent, adjusting the new management scheme based on the adjustment results.
In a second aspect, the present application provides a data virtualization management device, which adopts the following technical scheme:
a data virtualization management device comprising:
the management data acquisition module is used for acquiring the data type and the data size of the data to be managed;
a predicted location determination module for determining a predicted storage location of the data to be managed based on the data type;
the virtual space creation module is used for acquiring the running environment information of the expected storage position and creating a virtual space based on the expected storage position and the running environment information;
a management scheme generation module for determining a management scheme of the data to be managed based on the expected storage location and the data size;
the operation result generation module is used for operating the management scheme in the virtual space to generate an operation result;
and the management data management module is used for managing the data to be managed based on the operation result and the management scheme.
By adopting the technical scheme, when data management is carried out, the virtual space is created through the virtualization technology, the data to be managed is virtually managed through the virtual space, the data of different types and sizes can be uniformly managed and optimized, and the test operation is carried out in the virtual space, so that the final storage is more close to reality, and the problem existing in the virtual space can be processed before the test operation is carried out in the virtual space, so that the data loss or damage caused by unreasonable data distribution is reduced, and the flexible management of the data is realized.
In a third aspect, the present application provides an electronic device, which adopts the following technical scheme:
an electronic device comprising a processor coupled with a memory;
the processor is configured to execute a computer program stored in the memory, so that the electronic device executes the computer program of the data virtualization management method according to any one of the first aspects.
In a fourth aspect, the present application provides a computer readable storage medium, which adopts the following technical scheme:
a computer-readable storage medium storing a computer program capable of being loaded by a processor and executing the data virtualization management method according to any one of the first aspects.
Drawings
Fig. 1 is a flow chart of a data virtualization management method according to an embodiment of the present application.
Fig. 2 is a block diagram of a data virtualization management device according to an embodiment of the present application.
Fig. 3 is a block diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The present application is described in further detail below with reference to the accompanying drawings.
The embodiment of the application provides a data virtualization management method, which can be executed by electronic equipment, wherein the electronic equipment can be a server or terminal equipment, the server can be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, and a cloud server for providing cloud computing service. The terminal device may be, but is not limited to, a smart phone, a tablet computer, a desktop computer, etc.
Fig. 1 is a flow chart of a data virtualization management method according to an embodiment of the present application.
As shown in fig. 1, the main flow of the method is described as follows (steps S101 to S106):
step S101, acquiring a data type and a data size of data to be managed.
In this embodiment, the data types include text data, operation data, audio data, encrypted data, working data, temporary data, and the like, and the data size is a storage memory corresponding to the data, for example, the data size of one text data is 200KB, the data size of one encrypted data is 10MB, and the like, and the specific data types need to be increased and modified according to actual requirements, which is not limited herein.
Step S102, an expected storage position of the data to be managed is determined based on the data type.
When the data to be managed is managed, the most critical step is to store the data to be managed, and when the data to be managed is stored, data storage information is obtained, wherein the data storage information comprises a data storage grade and a data storage range corresponding to the data storage grade; acquiring a data grade of data to be managed; selecting among the data storage ranges based on the data level and the data storage level, and determining a target storage range; judging whether the data storage is allowed or not based on the data storage range and the data type; if the data storage is allowed, determining an expected storage position based on the data size and the target storage range; if the data storage is not allowed, acquiring an adjustment rule; the projected storage location is determined based on the adjustment rule, the data type, the data size, and the target storage range.
In this embodiment, the data storage information is related information of a storage space in which data is stored, including, but not limited to, a data storage level and a data storage range corresponding to each data storage level, where the data storage level is a security level, and the level is a security level, for example, common data is classified as a lowest security level, the security level is redetermined for data to be secured according to a preset level and a preset data size thereof, an additional level value is determined according to a preset data level rule and a preset data size, then a level to be confirmed is obtained according to the additional level value and the preset level, and then a final security level is determined according to the level to be confirmed and the preset data level rule. The preset data level rule comprises two parts, namely an additional level determining part and a security level determining part, wherein the two parts adopt a mode of interval and corresponding value, namely a data size interval is arranged, each data size interval corresponds to an additional level value, a to-be-confirmed level interval is arranged, each to-be-confirmed level interval corresponds to a security level, when the data level rule is used, the data size is compared with the data size interval, the additional level value of the data size interval where the data size is located is used as the additional level value of the to-be-managed data, the to-be-confirmed level is compared with the to-be-confirmed level interval, and the security level of the to-be-confirmed level interval where the to-be-confirmed level is used as the security level of the to-be-managed data.
When the target storage range is determined, the data grade of the data to be managed is obtained, the target storage range is determined by selecting according to the data grade and the data storage grade, then whether the data of the data type can be stored in the target storage range or not is judged according to the data storage range and the data type, if the data can be stored, the data is divided into the target storage range according to the data size, namely, a storage space larger than the data size is divided, and the storage space is used as an expected storage position.
Determining an allowable storage level based on the adjustment rule and the data level in the case where the data storage is not allowed; adjusting the target storage range based on the allowable storage level and the data type, and generating a storage range to be used; the expected storage location is determined based on the data size and the storage range to be used.
In this embodiment, the adjustment rule includes a data level and an adjustment range of each level, the adjustment range of the data level is determined by the data level and the adjustment rule when adjustment is performed, the data level is increased and adjusted according to the adjustment range, a permitted storage level is obtained, a new storage range is determined according to the permitted storage level, then a data storage range including a data type is selected in the new storage range according to the data type, the selected data storage range is used to adjust the target storage range, a storage range to be used is generated, and then the storage range to be used is divided according to the data size in the same manner, thereby determining the predicted storage position.
Step S103, obtaining the running environment information of the expected storage position, and creating a virtual space based on the expected storage position and the running environment information.
Aiming at step S103, obtaining the storage size and the storage grade of the expected storage position; determining a virtual creation level based on the storage size and the storage level; determining a creation time length based on the virtual creation level; a virtual space is created based on the creation time period, the storage size, and the running environment information.
In this embodiment, the running environment information includes, but is not limited to, a running bandwidth, a data loading amount, a data processing speed, and the like, when creating the virtual space, it is necessary to make the running environment in the virtual space coincide with the real running environment, after the predicted storage position is obtained by dividing according to the data size, the storage space of the predicted storage position is larger than the data size of the data to be managed, so when creating, it is necessary to obtain the storage size of the actual predicted storage position, determine the virtual creation level according to the storage size and the storage level, where the storage level coincides with the security level, query in a preset table using the storage size and the storage level, determine the creation time period according to the virtual creation level and the preset table, and then create the virtual space using the creation time period, the storage size, and the running environment information.
Step S104, determining a management scheme of the data to be managed based on the expected storage position and the data size.
For step S104, determining a storage duty ratio of the data to be managed based on the expected storage location and the data size; generating an operation trend graph based on the storage duty ratio and the operation environment information; judging whether the data to be managed need to be stored and adjusted or not based on the running trend graph; if the data to be managed needs to be stored and adjusted, adjusting the expected storage position based on the data size to generate an adjusted storage position; generating a management scheme based on the adjusted storage locations and the data types; and if the data to be managed does not need to be subjected to storage adjustment, generating a management scheme based on the expected storage position and the data type.
In this embodiment, a ratio of a predicted storage location to a data size is calculated, so as to obtain a storage duty ratio of data to be managed in the predicted storage location, test operation is performed through the storage duty ratio and operation environment information, an operation trend chart is obtained according to the number of operations and the order of operations, whether a steep rising trend is presented is judged according to the trend chart, if the steep rising trend is presented, storage adjustment is determined to be performed on the data to be managed, the storage space of the predicted storage location is adjusted during adjustment, namely, the storage space of the predicted storage location is enlarged, the enlarged adjustment location is used as an adjustment storage location, the data type and the data to be managed are bound, a management scheme is generated, if the steep rising trend is not presented, it is determined that the data to be managed does not need to be subjected to storage adjustment, and the predicted storage location, the data type and the data to be managed are bound, and the management scheme is generated. In the case of performing expansion, the specific expansion amount is set according to actual needs, and is not particularly limited here.
Step S105, the management scheme is operated in the virtual space, and an operation result is generated.
In this embodiment, after determining the management scheme, the management scheme is tested in the virtual space, that is, the operation effect and the operation data of the management scheme are checked, and the operation effect and the operation data are used as the operation result.
And step S106, managing the data to be managed based on the operation result and the management scheme.
Aiming at the step S106, an operation scoring rule is obtained, and an operation score is generated based on the operation scoring rule and an operation result; judging whether the running score is not smaller than a preset scoring threshold value or not; if the running score is not smaller than the preset scoring threshold, managing the data to be managed based on the management scheme; if the operation score is smaller than the preset score threshold, adjusting the management scheme based on the operation result to generate an adjustment result; and managing the data to be managed based on the adjustment result.
In this embodiment, the operation scoring rule is operation data and scores corresponding to the operation data, and when determining the operation score, the operation result is compared with the operation scoring rule, and the operation score in which the operation result in the operation scoring rule is consistent with the operation result at this time is used as the operation score at this time. When the operation score is not smaller than the preset score threshold, the management scheme is directly used for managing the data to be managed, when the operation score is smaller than the preset score threshold, a module needing to be adjusted is determined according to the operation data in the operation result, if the operation space is small, the operation space, namely the predicted storage position, is expanded, the specific adjustment mode is required to be set according to actual requirements, the specific adjustment mode is not limited, an adjustment result is generated after adjustment, and the data to be managed is managed by using the adjustment result.
In this embodiment, a management scheme with an operation score smaller than a preset score threshold is marked, and a marking scheme is generated; when a new management scheme is generated, comparing the new management scheme with the marking scheme to generate a comparison result; and if the comparison results are consistent, adjusting the new management scheme based on the adjustment results.
In order to reduce the adjustment times of the management scheme when the data management is performed again, after the operation is performed, corresponding problem marks are added to the management scheme with the operation score smaller than a preset scoring threshold value, a marking scheme is generated, and when a new management scheme consistent with the marking scheme is generated subsequently, the adjustment result is directly used for adjusting the new management scheme, so that the management scheme for the data to be managed is obtained quickly.
Fig. 2 is a block diagram of a data virtualization management device 200 according to an embodiment of the present application.
As shown in fig. 2, the data virtualization management device 200 mainly includes:
a management data obtaining module 201, configured to obtain a data type and a data size of data to be managed;
an expected location determination module 202 for determining an expected storage location of data to be managed based on the data type;
a virtual space creation module 203, configured to obtain running environment information of the expected storage location, and create a virtual space based on the expected storage location and the running environment information;
a management scheme generation module 204 for determining a management scheme of the data to be managed based on the expected storage location and the data size;
an operation result generating module 205, configured to operate the management scheme in the virtual space, and generate an operation result;
and the management data management module 206 is used for managing the data to be managed based on the operation result and the management scheme.
As an alternative implementation of the present embodiment, the predicted position determining module 202 includes:
the storage information acquisition module is used for acquiring data storage information, wherein the data storage information comprises a data storage grade and a data storage range corresponding to the data storage grade;
the data grade acquisition module is used for acquiring the data grade of the data to be managed;
the target range determining module is used for selecting among the data storage ranges based on the data grade and the data storage grade and determining a target storage range;
the permission storage judging module is used for judging whether the data storage is permitted or not based on the data storage range and the data type;
a first location determination module for determining an expected storage location based on the data size and the target storage range;
the adjustment rule acquisition module is used for acquiring adjustment rules;
and a second location determination module for determining an expected storage location based on the adjustment rule, the data type, the data size, and the target storage range.
In this alternative embodiment, the second location determining module is specifically configured to determine the allowable storage level based on the adjustment rule and the data level; adjusting the target storage range based on the allowable storage level and the data type, and generating a storage range to be used; the expected storage location is determined based on the data size and the storage range to be used.
As an optional implementation manner of this embodiment, the virtual space creation module 203 is specifically configured to obtain a storage size and a storage level of the predicted storage location; determining a virtual creation level based on the storage size and the storage level; determining a creation time length based on the virtual creation level; a virtual space is created based on the creation time period, the storage size, and the running environment information.
As an alternative implementation manner of this embodiment, the management scheme generation module 204 is specifically configured to determine a storage duty ratio of the data to be managed based on the expected storage location and the data size; generating an operation trend graph based on the storage duty ratio and the operation environment information; judging whether the data to be managed need to be stored and adjusted or not based on the running trend graph; if the data to be managed needs to be stored and adjusted, adjusting the expected storage position based on the data size to generate an adjusted storage position; generating a management scheme based on the adjusted storage locations and the data types; and if the data to be managed does not need to be subjected to storage adjustment, generating a management scheme based on the expected storage position and the data type.
As an optional implementation manner of this embodiment, the management data management module 206 is specifically configured to obtain an operation scoring rule, and generate an operation score based on the operation scoring rule and an operation result; judging whether the running score is not smaller than a preset scoring threshold value or not; if the running score is not smaller than the preset scoring threshold, managing the data to be managed based on the management scheme; if the operation score is smaller than the preset score threshold, adjusting the management scheme based on the operation result to generate an adjustment result; and managing the data to be managed based on the adjustment result.
As an alternative implementation manner of the present embodiment, the data virtualization management device 200 further includes:
the marking scheme generation module is used for marking the management scheme with the operation score smaller than a preset scoring threshold value to generate a marking scheme;
the comparison result generation module is used for comparing the new management scheme with the marking scheme when generating the new management scheme to generate a comparison result;
and the management scheme adjusting module is used for adjusting the new management scheme based on the adjusting result if the comparison result is consistent.
In one example, a module in any of the above apparatuses may be one or more integrated circuits configured to implement the above methods, for example: one or more application specific integrated circuits (application specific integratedcircuit, ASIC), or one or more digital signal processors (digital signal processor, DSP), or one or more field programmable gate arrays (field programmable gate array, FPGA), or a combination of at least two of these integrated circuit forms.
For another example, when a module in an apparatus may be implemented in the form of a scheduler of processing elements, the processing elements may be general-purpose processors, such as a central processing unit (central processing unit, CPU) or other processor that may invoke a program. For another example, the modules may be integrated together and implemented in the form of a system-on-a-chip (SOC).
It will be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working process of the apparatus and modules described above may refer to the corresponding process in the foregoing method embodiment, which is not repeated herein.
Fig. 3 is a block diagram of an electronic device 300 according to an embodiment of the present application.
As shown in FIG. 3, electronic device 300 includes a processor 301 and memory 302, and may further include an information input/information output (I/O) interface 303, one or more of a communication component 304, and a communication bus 305.
Wherein the processor 301 is configured to control the overall operation of the electronic device 300 to complete all or part of the steps of the data virtualization management method described above; the memory 302 is used to store various types of data to support operation at the electronic device 300, which may include, for example, instructions for any application or method operating on the electronic device 300, as well as application-related data. The Memory 302 may be implemented by any type or combination of volatile or non-volatile Memory devices, such as one or more of static random access Memory (Static Random Access Memory, SRAM), electrically erasable programmable Read-Only Memory (Electrically Erasable Programmable Read-Only Memory, EEPROM), erasable programmable Read-Only Memory (Erasable Programmable Read-Only Memory, EPROM), programmable Read-Only Memory (Programmable Read-Only Memory, PROM), read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic disk, or optical disk.
The I/O interface 303 provides an interface between the processor 301 and other interface modules, which may be a keyboard, mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 304 is used for wired or wireless communication between the electronic device 300 and other devices. Wireless communication, such as Wi-Fi, bluetooth, near field communication (Near Field Communication, NFC for short), 2G, 3G or 4G, or a combination of one or more thereof, the corresponding communication component 104 may thus comprise: wi-Fi part, bluetooth part, NFC part.
The electronic device 300 may be implemented by one or more application specific integrated circuits (Application Specific Integrated Circuit, abbreviated as ASIC), digital signal processors (Digital Signal Processor, abbreviated as DSP), digital signal processing devices (Digital Signal Processing Device, abbreviated as DSPD), programmable logic devices (Programmable Logic Device, abbreviated as PLD), field programmable gate arrays (Field Programmable Gate Array, abbreviated as FPGA), controllers, microcontrollers, microprocessors, or other electronic components for performing the data virtualization management methods as set forth in the above embodiments.
Communication bus 305 may include a pathway to transfer information between the aforementioned components. The communication bus 305 may be a PCI (Peripheral Component Interconnect, peripheral component interconnect standard) bus or an EISA (Extended Industry Standard Architecture ) bus, or the like. The communication bus 305 may be divided into an address bus, a data bus, a control bus, and the like.
The electronic device 300 may include, but is not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), car terminals (e.g., car navigation terminals), and the like, and fixed terminals such as digital TVs, desktop computers, and the like, and may also be a server, and the like.
The present application also provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor implements the steps of the data virtualization management method described above.
The computer readable storage medium may include: a U-disk, a removable hard disk, a read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
The foregoing description is only of the preferred embodiments of the present application and is presented as a description of the principles of the technology being utilized. It will be appreciated by persons skilled in the art that the scope of the application referred to in this application is not limited to the specific combinations of features described above, but it is intended to cover other embodiments in which any combination of features described above or their equivalents is possible without departing from the spirit of the application. Such as the above-mentioned features and the technical features having similar functions (but not limited to) applied for in this application are replaced with each other.
Claims (10)
1. A data virtualization management method, comprising:
acquiring the data type and the data size of the data to be managed;
determining an expected storage location of the data to be managed based on the data type;
acquiring running environment information of the expected storage position, and creating a virtual space based on the expected storage position and the running environment information;
determining a management scheme of the data to be managed based on the expected storage location and the data size;
operating the management scheme in the virtual space to generate an operation result;
and managing the data to be managed based on the operation result and the management scheme.
2. The method of claim 1, wherein the determining the intended storage location of the data to be managed based on the data type comprises:
acquiring data storage information, wherein the data storage information comprises a data storage grade and a data storage range corresponding to the data storage grade;
acquiring the data grade of the data to be managed;
selecting among the data storage ranges based on the data level and the data storage level, determining a target storage range;
judging whether data storage is allowed or not based on the data storage range and the data type;
if data storage is allowed, determining an expected storage position based on the data size and the target storage range;
if the data storage is not allowed, acquiring an adjustment rule;
an expected storage location is determined based on the adjustment rule, the data type, the data size, and the target storage range.
3. The method of claim 2, wherein the determining an expected storage location based on the adjustment rule, the data type, the data size, and the target storage range comprises:
determining an allowable storage level based on the adjustment rule and the data level;
adjusting the target storage range based on the allowable storage level and the data type, and generating a storage range to be used;
and determining an expected storage position based on the data size and the storage range to be used.
4. The method of claim 1, wherein the creating a virtual space based on the projected storage location and the operating environment information comprises:
acquiring the storage size and the storage grade of the expected storage position;
determining a virtual creation level based on the storage size and the storage level;
determining a creation time length based on the virtual creation level;
and creating a virtual space based on the creation time period, the storage size and the running environment information.
5. The method of claim 1, wherein the determining a management scheme for the data to be managed based on the projected storage location and the data size comprises:
determining a storage duty cycle of the data to be managed based on the projected storage location and the data size;
generating an operational trend graph based on the storage duty cycle and the operational environment information;
judging whether the data to be managed need to be stored and adjusted or not based on the running trend graph;
if the data to be managed need to be stored and adjusted, adjusting the predicted storage position based on the data size to generate an adjusted storage position;
generating a management scheme based on the adjusted storage location and the data type;
and if the data to be managed does not need to be stored and adjusted, generating a management scheme based on the expected storage position and the data type.
6. The method of claim 1, wherein managing the data to be managed based on the operation result and the management scheme comprises:
acquiring an operation scoring rule, and generating an operation score based on the operation scoring rule and the operation result;
judging whether the running score is not smaller than a preset scoring threshold value or not;
if the running score is not smaller than a preset scoring threshold, managing the data to be managed based on the management scheme;
if the operation score is smaller than a preset score threshold, adjusting the management scheme based on the operation result to generate an adjustment result;
and managing the data to be managed based on the adjustment result.
7. The method of claim 6, further comprising, after the managing the data to be managed based on the operation result and the management scheme:
marking the management schemes with the running scores smaller than the preset scoring threshold value to generate marking schemes;
when a new management scheme is generated, comparing the new management scheme with the marking scheme to generate a comparison result;
and if the comparison results are consistent, adjusting the new management scheme based on the adjustment results.
8. A data virtualization management device, comprising:
the management data acquisition module is used for acquiring the data type and the data size of the data to be managed;
a predicted location determination module for determining a predicted storage location of the data to be managed based on the data type;
the virtual space creation module is used for acquiring the running environment information of the expected storage position and creating a virtual space based on the expected storage position and the running environment information;
a management scheme generation module for determining a management scheme of the data to be managed based on the expected storage location and the data size;
the operation result generation module is used for operating the management scheme in the virtual space to generate an operation result;
and the management data management module is used for managing the data to be managed based on the operation result and the management scheme.
9. An electronic device comprising a processor coupled to a memory;
the processor is configured to execute a computer program stored in the memory to cause the electronic device to perform the method of any one of claims 1 to 7.
10. A computer readable storage medium comprising a computer program or instructions which, when run on a computer, cause the computer to perform the method of any of claims 1 to 7.
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