CN112732490A - Information determination method, device, equipment and storage medium - Google Patents
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Abstract
The application discloses an information determination method, an information determination device, information determination equipment and a storage medium. The method comprises the following steps: determining system attribute information, comprehensive basic grade, system life cycle and return on investment of a target service system; determining the disaster recovery capability level of the target service system according to the system attribute information, the comprehensive basic level, the system life cycle and the return on investment rate; and determining a service continuity protection mode of the target service system according to the disaster recovery capability level, and performing continuity protection on the target service system according to the service continuity protection mode. The embodiment of the application realizes the unified protection grading of the target service system by adopting the system attribute information, the comprehensive basic grade, the system life cycle and the return on investment rate of the target service system to determine the disaster recovery capability grade and determining the service continuity protection mode according to the disaster recovery capability grade, thereby ensuring the service continuity of the target service system.
Description
Technical Field
The present application relates to system protection technologies, and in particular, to an information determining method, apparatus, device, and storage medium.
Background
With the rapid development of the information system, under the large background of national great advocated localization and information security, the disaster recovery level and the disaster recovery mode of the service system also need to be further defined and optimized. At present, in the field of information system service continuity protection, a unified power service system protection grading scheme is not provided. Therefore, how to design a unified protection and grading scheme for the power service system is related to the safety production and operation of the power grid service and the workload of the primary operation and maintenance personnel at the basic level.
Disclosure of Invention
In view of the above, there is a need to provide an information determining method, apparatus, device and storage medium, which implement unified protection and classification for a target service system, thereby ensuring service continuity of the target service system.
In one embodiment, an embodiment of the present application provides an information determining method, including:
determining system attribute information, comprehensive basic grade, system life cycle and return on investment of a target service system;
determining a disaster recovery capability level of the target business system according to the system attribute information, the comprehensive basic level, the system life cycle and the return on investment;
and determining a service continuity protection mode of the target service system according to the disaster recovery capability level so as to perform continuity protection on the target service system according to the service continuity protection mode.
In an embodiment, an embodiment of the present application further provides an information determining apparatus, including:
the first determining module is used for determining system attribute information, comprehensive basic level, system life cycle and return on investment of the target service system;
a second determining module, configured to determine a disaster recovery capability level of the target business system according to the system attribute information, the comprehensive base level, the system life cycle, and the return on investment;
and the third determining module is used for determining a service continuity protection mode of the target service system according to the disaster recovery capability level so as to continuously protect the target service system according to the service continuity protection mode.
In an embodiment, an embodiment of the present application further provides an information determining apparatus, including: the information determining method comprises a memory and a processor, wherein the memory stores a computer program, and the processor realizes the information determining method provided by any embodiment of the application when executing the computer program.
In one embodiment, the present application further provides a computer-readable storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the information determination method provided in any embodiment of the present application.
The information determining method, the device, the equipment and the storage medium provided by the embodiment of the application determine the system attribute information, the comprehensive basic level, the system life cycle and the return on investment of a target service system; determining a disaster recovery capability level of the target business system according to the system attribute information, the comprehensive basic level, the system life cycle and the return on investment; and determining a service continuity protection mode of the target service system according to the disaster recovery capability level so as to perform continuity protection on the target service system according to the service continuity protection mode. The embodiment of the application realizes the unified protection grading of the target service system by adopting the system attribute information, the comprehensive basic grade, the system life cycle and the return on investment rate of the target service system to determine the disaster recovery capability grade and determining the service continuity protection mode according to the disaster recovery capability grade, thereby ensuring the service continuity of the target service system.
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Fig. 1 is a schematic flowchart of an information determination method provided in an embodiment of the present application;
fig. 2 is a flowchart of a calculation of a service continuity protection mode of a target service system according to an embodiment of the present application;
fig. 3 is a block diagram of an information determination apparatus according to an embodiment of the present application;
fig. 4 is a schematic diagram of a hardware structure of an information determining apparatus according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
In an embodiment, fig. 1 is a schematic flowchart of an information determining method provided in an embodiment of the present application. The present embodiment is mainly exemplified by the application of the method to an information determination device. In the embodiment, the information determination method is described by taking the information determination device as a computer device as an example.
S110, determining system attribute information, comprehensive basic level, system life cycle and return on investment of the target business system.
In an embodiment, the system attribute information refers to relevant attribute information of the target business system. In one embodiment, the system attribute information includes: service level grade, security level protection grade, system life cycle, system attribute level information, data retention information, system development trend and daily average traffic. Wherein, the service level grade refers to the grading of the disaster recovery capability grade of the target service system at the service level; the safety level protection level refers to the grading of disaster recovery capability level according to the system information safety level protection level; the system life cycle refers to determining whether the system is included in a disaster recovery construction range according to an offline plan of a target business system; the system attribute level information refers to the influence degree of the target business information on the enterprise after being damaged. The data retention information, the system development trend and the daily average traffic belong to a return-on-investment level, and the target service system adjusts the disaster recovery capability level according to the related information of the return-on-investment level. Wherein, the data retention information refers to information whether valuable data needs to be retained; the system development trend refers to information about whether the system is developed in the future or not in a descending trend; average daily traffic refers to the average daily traffic of the system.
In one embodiment, determining an integrated base level for a target business system comprises: and determining a corresponding comprehensive basic level according to the service level and the security level protection level. In the embodiment, two dimensions of a service level grade and a security level protection grade are selected to determine a comprehensive basic grade, wherein the service level grade reflects service requirements, and the service level grade can also be called as a service influence analysis dimension; the security level protection level reflects the requirement of the system for self security protection, and the security level protection level can also be called as the system security level protection dimension. After determining the service level and the security level protection level, the maximum of the two parameters may be used as the integrated base level of the target service system.
In an embodiment, the system lifecycle is of a temporary or transitional information system, or disaster recovery is not performed for a system that will be offline within a preset time, or disaster recovery is performed for a system that has no offline plan. In the embodiment, the coefficient of the system life cycle is represented by α, illustratively, the system life cycle of the target business system belongs to a temporary or transitional information system, or for a system to be offline within 1 year, disaster recovery construction is not performed, and the coefficient α of the system life cycle is assigned to 0; for a system without an offline plan, disaster recovery construction is carried out, and the coefficient alpha of the life cycle of the system is assigned to be 1; and the target business system with the alpha value set as 0 does not consider the return on investment any more and does not participate in subsequent calculation.
In one embodiment, the return on investment is related to data retention information, system development trends, and average daily traffic.
And S120, determining the disaster recovery capability level of the target business system according to the system attribute information, the comprehensive basic level, the system life cycle and the return on investment rate.
In an embodiment, after determining system attribute information, comprehensive basic rating, system life cycle and return on investment of the target business system, the disaster recovery capability level of the target business system is calculated according to a predetermined rating model of the disaster recovery capability level. Illustratively, the disaster recovery capability level is the integrated basic rating, the system life cycle, the system attribute level information, and the return on investment, i.e., the disaster recovery capability level is the product of the integrated basic rating, the system life cycle, the system attribute level information, and the return on investment.
The system attribute level information refers to whether the target service system is damaged in some areas due to the fact that the target service system cannot provide service or cannot provide effective service. Illustratively, if the target business system causes damage to county-level and city-level ranges or causes damage to the unit due to failure to provide service or failure to provide effective service, the coefficient β of the system attribute level information is assigned to 0; the target business system can cause damage to province (city) companies (direct administration city) level range because of being incapable of providing service or being incapable of providing effective service, and the coefficient beta of the system attribute level information is assigned to be 1; the target business system can cause damage to the whole range of the company because the target business system can not provide service or can not provide effective service, and the coefficient beta of the system attribute level information is assigned to be 1.
S130, determining a service continuity protection mode of the target service system according to the disaster recovery capability level, and performing continuity protection on the target service system according to the service continuity protection mode.
In the embodiment, a mapping relation is established between the disaster recovery capability level and the service continuity protection mode in advance, and after the target disaster recovery capability level is determined, the corresponding service continuity protection mode can be found according to the mapping relation, so that the service continuity protection mode of the target service system can be determined. In one embodiment, the traffic continuity protection mode includes one of: the method comprises the steps of same-city double-activity, remote double-activity, application-level disaster recovery and data-level disaster recovery. Wherein, the same city and double activities mean that two same systems in the same city are operated at the same time. Offsite dual activity refers to two identical systems operating simultaneously in two different cities. The application-level disaster recovery, namely the application-level disaster recovery backup, means that a set of complete backup application system equivalent to a local service system is established locally or in a different place, when a local data disaster occurs, a backup center can take over the service of the local service system, and after a local production system is normally used, 100% of the data is recovered, and the availability of the recovered data is ensured. Data-level disaster recovery, i.e. data-level disaster recovery backup, means that after a disaster occurs, data can be guaranteed not to be damaged, and it can also be understood that data-level disaster recovery mainly focuses on data.
In an embodiment, table 1 is a mapping relationship table between disaster recovery capability levels and service continuity protection modes provided by an embodiment of the present application.
Table 1 mapping relationship table between disaster recovery capability level and service continuity protection mode
In an embodiment, the service continuity protection mode refers to a disaster recovery mode configuration of the target service system. In an embodiment, when the disaster recovery capability level of the target business system is five levels, the levels can be refined to meet the refinement requirement of the refined disaster recovery construction. As shown in table 1, the disaster recovery capability level of 5 is divided into three levels, 5A, 5B, and 5C, respectively. Wherein, the Recovery Time Object (RTO) of 5A is from several minutes level to ten and several minutes level, and the Recovery Point Object (RPO) is from second level to minute level; RTO of 5B is from several minutes to tens of minutes, RPO is minutes; RTO at 5C is on the order of hours and RPO on the order of minutes.
According to the technical scheme of the embodiment, the unified protection grading of the target service system is realized by determining the disaster recovery capability grade by adopting the system attribute information, the comprehensive basic grade, the system life cycle and the return on investment rate of the target service system and determining the service continuity protection mode according to the disaster recovery capability grade, so that the service continuity of the target service system is ensured.
In an embodiment, the determining method of the service level class includes: determining the system service recovery priority according to the financial influence parameters and the non-financial influence parameters of the target service system; determining a corresponding disaster recovery level according to the system service recovery priority; and determining the corresponding service level grade according to the system service recovery priority and the disaster recovery grade.
In an embodiment, the system service recovery priority may be calculated by analyzing the financial impact parameters and non-financial impact parameters of the target service system. The financial influence parameters refer to the parameter information of the financial aspect in the target business system; non-financial impact parameters refer to non-financial aspects of the parameter information in the target business system. Illustratively, the non-financial impact parameters may include: enterprise reputation, customer satisfaction, operational management level, public order, regulatory requirements, and the like. In an embodiment, the financial impact parameter refers to the direct financial loss that may be incurred in the target business system in the event of an interruption, as well as its relationship over time. Wherein time refers to the work day. In the actual operation process, the sampling point of the interruption time can be set, for example, the sampling point of the interruption time can be 1 hour, 2 hours, 4 hours, 8 hours, 48 hours and 1 week (or more). Wherein, at different sampling points, different financial influences are caused, and the assignment thereof is also different. Illustratively, a value of 3 may be assigned greater than 1 million and a value of 0.5 may be assigned less than 50 million. And calculating to obtain corresponding financial loss according to the assignment of different sampling points and the weights corresponding to the different sampling points. Similarly, the non-financial loss can be calculated according to assignments of different sampling points and weights corresponding to the different sampling points, and is not repeated here. In an embodiment, after the financial impact parameters and the non-financial impact parameters are obtained through calculation, the total of the numerical values of the financial impact parameters and the numerical values of the non-financial impact parameters may be calculated, so as to obtain the system service recovery priority. The numerical value of the non-parameter influence parameter is equal to the enterprise reputation corresponding weight + the customer satisfaction corresponding weight + the operation management level corresponding weight + the public order corresponding weight + the supervision requirement corresponding weight.
In the service impact analysis process, the corresponding disaster recovery level is configured according to the system service recovery priority, and then the disaster recovery level and the decimal part of the system service recovery priority are added to obtain the corresponding service level. The system service recovery priority is represented by BP, the level of the service layer is represented by BL, illustratively, the system service recovery priority (BP ≧ 2) is mapped to the disaster recovery level as level 5, and then the level of the service layer (BL) is the decimal part of the disaster recovery level + the system service recovery priority; mapping the system service recovery priority (2> BP > -1) to the disaster backup level being 4, and then mapping the service level (BL) to the decimal part of the disaster backup level + the system service recovery priority; and mapping the system service recovery priority (BP < 1) to the disaster backup level of 3, wherein the service level (BL) is the decimal part of the disaster backup level plus the system service recovery priority. Wherein, BP is more than or equal to 2, which indicates that the target service system is a service system which is recovered preferentially; 2> BP > -1, which indicates that the target service system is a service system which is recovered in suboptimum first; BP < 1, the goal business system is the business system of the general recovery.
In an embodiment, the determining method of the security level protection level includes: the security level protection level is determined in a pre-configured manner. In the embodiment, in the system information security level protection grading, the security level protection level of a target service system is three or more, and the construction is carried out according to the disaster recovery capability level 3 standard; the safety level protection level of the target business system is two-level, and the target business system is constructed according to the disaster recovery capability level 2 standard; the security level protection level of the target business system is one level, and the construction is carried out according to the disaster recovery capability level 1 standard.
In one embodiment, determining a return on investment for a targeted business system comprises: and determining the return on investment of the target business system according to the data retention information, the system development trend and the daily average business volume of the target business system. In an embodiment, the data retention information is represented by R1, the system development trend is represented by R2, and the average daily traffic is represented by R3. The data retention information refers to whether valuable data in the target business system needs to be retained, namely when the valuable business and financial data are retained, the value of R1 is assigned to be 1, otherwise, the value of R1 is assigned to be 0; the system development trend refers to whether the target business system develops in the future or not, namely, the system develops in the future and has a downward trend, R2 is assigned to be 0, and otherwise, R2 is assigned to be 1; in the actual operation process, if the average daily traffic of part of the service systems is small but the systems themselves are important, the assignment of the average daily traffic can be refined, for example, the average daily traffic is greater than 1000 or the transaction amount is greater than 1000 ten thousand and is 1, the average daily traffic is between 1000-. In the process of calculating the return on investment, the results of R1, R2 and R3 are considered at the same time, i.e. the return on investment is (R1+ R2+ R3)/3.
In an embodiment, fig. 2 is a flowchart of a calculation of a service continuity protection mode of a target service system according to an embodiment of the present application. As shown in fig. 2, the process of determining the service continuity protection mode of the target service system includes the following steps:
firstly, determining the service level grade and the security grade protection grade of a target service system, and taking the maximum value of the service level grade and the security grade protection grade as a comprehensive basic grade.
Then, system life cycle and system attribute level information of the target business system are determined.
And then, determining the return on investment of the target business system according to the data retention information, the system development trend and the daily average business volume.
And then, determining the disaster recovery capability level of the target business system according to the comprehensive basic level, the life cycle of the system, the system attribute level information and the return on investment.
And finally, determining a service continuity protection mode of the target service system according to the disaster recovery capability level.
The determination processes of the comprehensive basic level, the system life cycle, the system attribute level information and the return on investment rate are not sequentially executed according to the order provided by the embodiment, and the determination processes of the four parameters may be executed simultaneously or separately, which is not limited. In the embodiment, the determination process of the comprehensive basic level, the system life cycle, the system attribute level information and the return on investment rate can be executed simultaneously, namely, a multi-process mode is adopted to determine the service continuity protection mode, so that the level determination speed is improved.
According to the method and the device, the target service system is uniformly graded through comprehensive basic grade, system life cycle, system attribute level information and return on investment rate, the method and the device have the advantages of being full in coverage range and high in grading speed, and particularly have strong service continuity protection grading capability under the service characteristic scene of the complex power information system, so that the operation of the service continuity of the power information system is guaranteed.
It should be understood that although the various steps in the flow charts of fig. 1-2 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 1-2 may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternating with other steps or at least some of the sub-steps or stages of other steps.
In an embodiment, fig. 3 is a block diagram of an information determination apparatus provided in an embodiment of the present application. As shown in fig. 3, there is provided an information determining apparatus including: a first determination module 210, a second determination module 220, and a third determination module 230, wherein:
a first determining module 210, configured to determine system attribute information, a comprehensive basic level, a system life cycle, and a return on investment of a target business system;
a second determining module 220, configured to determine a disaster recovery capability level of the target business system according to the system attribute information, the comprehensive base level, the system life cycle, and the return on investment;
a third determining module 230, configured to determine a service continuity protection mode of the target service system according to the disaster recovery capability level, so as to perform continuity protection on the target service system according to the service continuity protection mode.
According to the embodiment of the application, the system attribute information, the comprehensive basic level, the system life cycle and the return on investment rate of the target service system are adopted to determine the disaster recovery capability level, and the service continuity protection mode is determined according to the disaster recovery capability level, so that the unified protection grading of the target service system is realized, and the service continuity of the target service system is ensured.
In one embodiment, the system attribute information includes: service level grade, security level protection grade, system life cycle, system attribute level information, data retention information, system development trend and daily average traffic.
In an embodiment, the first determining module is specifically configured to: and determining a corresponding comprehensive basic level according to the service level and the security level protection level.
In an embodiment, the determining method of the service level class includes:
determining the system service recovery priority according to the financial influence parameters and the non-financial influence parameters of the target service system;
determining a corresponding disaster recovery level according to the system service recovery priority;
and determining the corresponding service level grade according to the system service recovery priority and the disaster recovery grade.
In an embodiment, the determining method of the security level protection level includes:
the security level protection level is determined in a pre-configured manner.
In an embodiment, the first determining module is specifically configured to:
and determining the return on investment of the target business system according to the data retention information, the system development trend and the daily average business volume of the target business system.
In one embodiment, the traffic continuity protection mode includes one of: the method comprises the steps of same-city double-activity, remote double-activity, application-level disaster recovery and data-level disaster recovery.
For specific limitations of the information determining apparatus, reference may be made to the above limitations of the information determining method, which are not described herein again. The various modules in the information determination apparatus described above may be implemented in whole or in part by software, hardware, and combinations thereof. The modules can be embedded in a hardware form or independent from a processor in the information determination device, and can also be stored in a memory in the information determination device in a software form, so that the processor can call and execute operations corresponding to the modules.
Fig. 4 is a schematic diagram of a hardware structure of an information determining apparatus according to an embodiment of the present application. As shown in fig. 4, an information determining apparatus provided in an embodiment of the present application includes: a memory 310 and a processor 320. The number of the processors 320 in the information determination device may be one or more, one processor 320 is taken as an example in fig. 4, the memory 310 and the processor 320 in the information determination device may be connected by a bus or in other manners, and the connection by the bus is taken as an example in fig. 4.
The memory 310 in the information determining apparatus is used as a computer readable storage medium for storing one or more programs, which may be software programs, computer executable programs, and modules, such as program instructions/modules corresponding to the information determining method provided in the above-mentioned embodiments in the present application (for example, modules in the information determining device shown in fig. 3, including the first determining module 210, the second determining module 220, and the third determining module 230). The processor 320 executes various functional applications and data processing of the information determination device by executing software programs, instructions and modules stored in the memory 310, that is, implements the information determination method in the above-described method embodiments.
The memory 310 may 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; the storage data area may store data created according to use of the device, and the like. Further, the memory 310 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, memory 310 may further include memory located remotely from processor 320, which may be connected to devices through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
And, when the one or more programs included in the above-described information determination device are executed by the one or more processors 320, the programs perform the following operations:
determining system attribute information, comprehensive basic grade, system life cycle and return on investment of a target service system;
determining the disaster recovery capability level of the target service system according to the system attribute information, the comprehensive basic level, the system life cycle and the return on investment rate;
and determining a service continuity protection mode of the target service system according to the disaster recovery capability level, and performing continuity protection on the target service system according to the service continuity protection mode.
The information determination device can execute the information determination method provided by any embodiment of the application, and has the corresponding functional modules and beneficial effects of the execution method.
In an embodiment, an embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements an information determining method provided in an embodiment of the present application, where the method includes:
determining system attribute information, comprehensive basic grade, system life cycle and return on investment of a target service system;
determining the disaster recovery capability level of the target service system according to the system attribute information, the comprehensive basic level, the system life cycle and the return on investment rate;
and determining a service continuity protection mode of the target service system according to the disaster recovery capability level, and performing continuity protection on the target service system according to the service continuity protection mode.
The computer storage media of the embodiments of the present application may take any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a Read-Only Memory (ROM), an erasable programmable Read-Only Memory (EPROM or flash Memory), an optical fiber, a portable compact disc Read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present application may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, or the like, as well as conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of Network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present application and the technical principles employed. It will be understood by those skilled in the art that the present application is not limited to the particular embodiments illustrated herein and that various obvious changes, rearrangements and substitutions may be made therein without departing from the scope of the invention. Therefore, although the present application has been described in more detail with reference to the above embodiments, the present application is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present application, and the scope of the present application is determined by the scope of the appended claims.
Claims (10)
1. An information determination method, comprising:
determining system attribute information, comprehensive basic grade, system life cycle and return on investment of a target service system;
determining a disaster recovery capability level of the target business system according to the system attribute information, the comprehensive basic level, the system life cycle and the return on investment;
and determining a service continuity protection mode of the target service system according to the disaster recovery capability level so as to perform continuity protection on the target service system according to the service continuity protection mode.
2. The method of claim 1, wherein the system attribute information comprises: service level grade, security level protection grade, system life cycle, system attribute level information, data retention information, system development trend and daily average traffic.
3. The method of claim 2, wherein determining the aggregate base level of the target business system comprises:
and determining a corresponding comprehensive basic level according to the service level and the security level protection level.
4. The method of claim 2 or 3, wherein the determining the service level class comprises:
determining the system service recovery priority according to the financial influence parameters and the non-financial influence parameters of the target service system;
determining a corresponding disaster recovery level according to the system service recovery priority;
and determining the corresponding service level grade according to the system service recovery priority and the disaster recovery grade.
5. The method of claim 3, wherein the determining the security level protection level comprises:
the security level protection level is determined in a pre-configured manner.
6. The method of claim 2, wherein determining the return on investment for the target business system comprises:
and determining the return on investment of the target business system according to the data retention information of the target business system, the system development trend and the daily average business volume.
7. The method according to any of claims 1-6, wherein said traffic continuity protection mode comprises one of: the method comprises the steps of same-city double-activity, remote double-activity, application-level disaster recovery and data-level disaster recovery.
8. An information determining apparatus, comprising:
the first determining module is used for determining system attribute information, comprehensive basic level, system life cycle and return on investment of the target service system;
a second determining module, configured to determine a disaster recovery capability level of the target business system according to the system attribute information, the comprehensive base level, the system life cycle, and the return on investment;
and the third determining module is used for determining a service continuity protection mode of the target service system according to the disaster recovery capability level so as to continuously protect the target service system according to the service continuity protection mode.
9. An information determining apparatus comprising: a memory and a processor; the memory stores a computer program, wherein the processor implements the information determination method according to any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the information determination method of any one of claims 1 to 7.
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| CN202110048650.3A CN112732490A (en) | 2021-01-14 | 2021-01-14 | Information determination method, device, equipment and storage medium |
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| CN115599606A (en) * | 2022-11-16 | 2023-01-13 | 恒丰银行股份有限公司（Cn） | Method, device and medium for generating disaster recovery switching scheme |
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