CN112527481B - Disaster recovery drilling plan generation method and device of system - Google Patents
Disaster recovery drilling plan generation method and device of system Download PDFInfo
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- 238000011084 recovery Methods 0.000 title claims abstract description 151
- 238000005553 drilling Methods 0.000 title claims abstract description 93
- 238000000034 method Methods 0.000 title claims abstract description 70
- 239000013598 vector Substances 0.000 claims abstract description 188
- 230000008901 benefit Effects 0.000 claims description 15
- 238000007726 management method Methods 0.000 claims description 12
- 230000008859 change Effects 0.000 claims description 10
- 238000012545 processing Methods 0.000 claims description 8
- 238000012423 maintenance Methods 0.000 claims description 7
- 238000004519 manufacturing process Methods 0.000 claims description 7
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/48—Program initiating; Program switching, e.g. by interrupt
- G06F9/4806—Task transfer initiation or dispatching
- G06F9/4843—Task transfer initiation or dispatching by program, e.g. task dispatcher, supervisor, operating system
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/14—Error detection or correction of the data by redundancy in operation
- G06F11/1402—Saving, restoring, recovering or retrying
- G06F11/1446—Point-in-time backing up or restoration of persistent data
- G06F11/1448—Management of the data involved in backup or backup restore
Abstract
The invention provides a method and a device for generating a disaster recovery drilling plan of a system, wherein the method comprises the following steps: when a disaster recovery drilling plan generation request is received, determining each application system; generating a request based on a disaster recovery drilling plan, acquiring a standard time feature vector, and acquiring a system time feature vector of each application system; calculating the standard time feature vector and the system time feature vector of each application system respectively to obtain a drilling risk degree vector of each application system; for each application system, generating a disaster backup exercise plan of the application system based on the comprehensive score and exercise risk degree vector of the application system. By applying the invention, when the disaster recovery exercise program of each application system is generated, multiple rounds of communication are not needed to be carried out on each department one by one, so that the time required for generating the disaster recovery exercise program of the system is effectively reduced, the disaster recovery exercise program of each application system can be rapidly generated, and the efficiency of generating the disaster recovery exercise program is improved.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a method and a device for generating a disaster recovery drilling plan of a system.
Background
To ensure adequate coping and recovery capabilities of various systems in the event of a sudden accident or disaster, disaster recovery exercises are often required for the systems. By performing disaster backup exercise, the linkage and switching of the system can be effectively improved when a disaster occurs, so that the occurrence of data loss is avoided, and the situation of serious loss caused by long-time stop of the system is also prevented; the disaster recovery exercise can effectively reduce the probability that the system cannot recover functions in time when encountering a disaster.
When disaster recovery exercises are performed on the system, the exercise plans of the system are usually executed according to the exercise plans of the system, the exercise plans of the system are usually required to be communicated with operation and maintenance departments and development departments of the system one by one in multiple rounds, so that the exercise plans of the system can be determined, the time cost for communicating with the operation and maintenance departments and the development departments of the system is high, the exercise plans of the system are required to be determined for a long time, and under the condition that the number of the systems is increased, the exercise plans of each system can not be determined quickly.
Disclosure of Invention
In view of the above, the invention provides a method and a device for generating a disaster recovery exercise program of a system, which should be used for generating the disaster recovery exercise program of the system without communicating with an operation and maintenance department and a development department by staff, thereby effectively shortening the time required for generating the disaster recovery exercise program, rapidly generating the disaster recovery exercise program and improving the generation efficiency of generating the disaster recovery exercise program.
In order to achieve the above purpose, the present invention provides the following technical solutions:
a disaster recovery drilling plan generation method of a system comprises the following steps:
when a disaster recovery drilling plan generation request sent by a user is received, determining each application system corresponding to the disaster recovery drilling plan generation request;
based on the disaster recovery drilling plan generation request, acquiring a standard time feature vector and acquiring a system time feature vector of each application system;
calculating the standard time feature vector and the system time feature vector of each application system respectively to obtain an exercise risk degree vector of each application system;
and for each application system, acquiring a comprehensive score corresponding to the application system from a preset configuration management library, and generating a disaster recovery exercise plan of the application system based on the comprehensive score and the exercise risk degree vector.
The method, optionally, the generating a request based on the disaster recovery drilling plan, obtaining a standard time feature vector, includes:
determining an exercise time period corresponding to the disaster recovery exercise plan generation request, and determining overall plan information corresponding to the exercise time period;
Dividing the exercise time period into a plurality of time windows, and distributing a unified standard value for each time window;
for each time window, determining a planning attribute of the time window in the overall planning information based on window characteristics of the time window, determining a planning risk value of the time window based on the planning attribute, and calculating the planning risk value of the time window and a standard value to obtain a time risk value of the time window;
and assembling the time risk values of the time windows into a first feature vector, and determining the first feature vector as a standard time feature vector.
The method, optionally, the obtaining a system time feature vector of each application system includes:
for each application system, determining system planning information of the application system;
determining a system time attribute of each time window in the system plan information based on window characteristics of each time window;
determining a system risk value of each time window based on the system time attribute of each time window;
Generating a second eigenvector containing the system risk value of each time window, and taking the second eigenvector as the system time eigenvector of the application system.
In the above method, optionally, the calculating the standard time feature vector and the system time feature vector of each application system to obtain an exercise risk degree vector of each application system includes:
for each application system, calculating each system risk value in the system time feature vector of the application system and each time risk value in the standard time feature vector to obtain an exercise risk value when the application system exercises in each time window;
and generating a third eigenvector containing each drilling risk value, and determining the third eigenvector as the drilling risk degree vector of the application system.
The method, optionally, generating the disaster recovery exercise plan of the application system based on the composite score and the exercise risk degree vector includes:
arranging and combining the comprehensive scores and the exercise risk values in the exercise risk degree vectors to obtain exercise types of the application system for exercise in each time window;
And selecting a target time window for the application system to perform drilling from each time window based on the drilling type of each time window, and generating a disaster recovery drilling plan of the application system based on the target time window.
The method, optionally, further comprises:
combining disaster recovery drilling plans of each application system to obtain an overall disaster recovery drilling plan;
and saving the whole disaster backup exercise program to a preset plan database, and performing disaster backup exercise on each application system based on the whole disaster backup exercise program.
A disaster recovery drilling plan generation device of a system comprises:
the system comprises a determining unit, a control unit and a control unit, wherein the determining unit is used for determining each application system corresponding to a disaster recovery drilling plan generation request when receiving the disaster recovery drilling plan generation request sent by a user;
the acquisition unit is used for generating a request based on the disaster recovery drilling plan, acquiring a standard time feature vector and acquiring a system time feature vector of each application system;
the computing unit is used for computing the standard time feature vector and the system time feature vector of each application system respectively to obtain a drilling risk degree vector of each application system;
And the generating unit is used for acquiring the comprehensive score corresponding to the application system from a preset configuration management library for each application system, and generating a disaster recovery exercise plan of the application system based on the comprehensive score and the exercise risk degree vector.
The above device, optionally, the acquiring unit includes:
a first determining subunit, configured to determine an exercise time period corresponding to the disaster recovery exercise plan generation request, and determine overall plan information corresponding to the exercise time period;
the distribution subunit is used for dividing the drilling time period into a plurality of time windows and distributing uniform standard values for each time window;
a second determining subunit, configured to determine, for each time window, a plan attribute of the time window in the overall plan information based on a window feature of the time window, determine a plan risk value of the time window based on the plan attribute, and calculate the plan risk value of the time window with a standard value to obtain a time risk value of the time window;
and the third determination subunit is used for assembling the time risk values of the time windows into a first feature vector and determining the first feature vector as a standard time feature vector.
The above device, optionally, the acquiring unit includes:
a fourth determining subunit, configured to determine, for each of the application systems, system plan information of the application system;
a fifth determining subunit, configured to determine, in the system plan information, a system time attribute of each of the time windows based on a window feature of each of the time windows;
a sixth determining subunit, configured to determine a system risk value of each time window based on a system time attribute of each time window;
and the first generation subunit is used for generating a second eigenvector containing the system risk value of each time window and taking the second eigenvector as the system time eigenvector of the application system.
The above apparatus, optionally, the computing unit includes:
an operation subunit, configured to, for each of the application systems, operate each system risk value in a system time feature vector of the application system with each time risk value in the standard time feature vector, to obtain an exercise risk value when the application system performs exercise in each time window;
and the second generation subunit is used for generating a third eigenvector containing each exercise risk value and determining the third eigenvector as an exercise risk degree vector of the application system.
The above apparatus, optionally, the generating unit includes:
the combination subunit is used for arranging and combining the comprehensive scores and the exercise risk values in the exercise risk degree vectors to obtain exercise types of the application system for performing exercise in each time window;
and the selecting subunit is used for selecting a target time window for the application system to perform the exercise from the time windows based on the exercise type of each time window, and generating a disaster recovery exercise plan of the application system based on the target time window.
The above device, optionally, further comprises:
the combination unit is used for combining the disaster recovery practice plans of each application system to obtain an overall disaster recovery practice plan;
and the drilling unit is used for storing the whole disaster backup drilling plan into a preset plan database and performing disaster backup drilling on each application system based on the whole disaster backup drilling plan.
Compared with the prior art, the invention has the following advantages:
the invention provides a method and a device for generating a disaster recovery drilling plan of a system, wherein the method comprises the following steps: when a disaster recovery drilling plan generation request sent by a user is received, determining each application system corresponding to the disaster recovery drilling plan generation request; based on the disaster recovery drilling plan generation request, acquiring a standard time feature vector and acquiring a system time feature vector of each application system; calculating the standard time feature vector and the system time feature vector of each application system respectively to obtain an exercise risk degree vector of each application system; and for each application system, acquiring a comprehensive score corresponding to the application system from a preset configuration management library, and generating a disaster recovery exercise plan of the application system based on the comprehensive score and the exercise risk degree vector. By applying the invention, when the disaster recovery exercise program of each application system is generated, the work of manual participation is reduced, multiple rounds of communication are not needed to be carried out on each department one by one, the time required by generating the disaster recovery exercise program of the system is effectively reduced, the disaster recovery exercise program of each application system can be quickly generated, and the efficiency of generating the disaster recovery exercise program is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only embodiments of the present invention, and that other drawings can be obtained according to the provided drawings without inventive effort for a person skilled in the art.
Fig. 1 is a method flowchart of a disaster recovery drilling plan generation method of a system according to an embodiment of the present invention;
FIG. 2 is a flowchart of another method of generating a disaster recovery exercise plan for a system according to an embodiment of the present invention;
FIG. 3 is a flowchart of another method of generating a disaster recovery exercise plan for a system according to an embodiment of the present invention;
FIG. 4 is a flowchart of another method of generating a disaster recovery exercise plan for a system according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a disaster recovery exercise plan generating device of a system according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In the present disclosure, 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. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The methods provided by embodiments of the present application are applicable to a wide variety of general purpose or special purpose computing device environments or configurations, such as: personal computers, server computers, hand-held or portable devices, tablet devices, multiprocessor devices, distributed computing environments that include any of the above devices or devices, and the like.
The method provided by the embodiment of the application can be applied to central systems of various industries, such as a commercial bank, wherein the central system consists of various types of subsystems or functional systems; the method provided by the application can be applied to generate the disaster recovery drilling plan of the system. Referring to fig. 1, a method flowchart of a method for generating a disaster recovery exercise plan of a system according to an embodiment of the present application is specifically described below:
S101, when a disaster recovery drilling plan generation request sent by a user is received, determining each application system corresponding to the disaster recovery drilling plan generation request.
In the method provided by the embodiment of the invention, the disaster recovery exercise plan generation request is analyzed, each system identifier is obtained, each application system corresponding to the disaster recovery exercise plan generation request is determined based on the system identifier, and it is required to be noted that each application system can be each system in a banking platform, such as a business system, an information system and the like. The system identifier is an identification identifier of the system and can be composed of numbers and letters.
S102, based on the disaster recovery backup exercise plan generation request, acquiring a standard time feature vector and acquiring a system time feature vector of each application system.
In the method provided by the embodiment of the invention, the standard time feature vector is a universal time feature vector for any one application system, the standard time feature vector comprises a plurality of standard vector parameters, and each standard vector parameter is a vector parameter under a corresponding time window;
the system time feature vector of the application system comprises a plurality of system vector parameters, and each system vector parameter is a vector parameter of the application system under a corresponding time window.
And S103, respectively calculating the standard time feature vector and the system time feature vector of each application system to obtain the exercise risk degree vector of each application system.
According to the method provided by the embodiment of the invention, for each application system, the standard time feature vector and the system time feature vector of the application system are calculated according to a preset calculation method to obtain the exercise risk degree vector of the application system; the exercise risk degree vector comprises a plurality of risk degree vectors, and each risk degree vector is a risk value of the application system for disaster recovery exercise under a corresponding time window.
S104, for each application system, acquiring a comprehensive score corresponding to the application system from a preset configuration management library, and generating a disaster recovery practice plan of the application system based on the comprehensive score and the practice risk degree vector.
In the method provided by the embodiment of the invention, for each application system, based on the system identification of the application system, a comprehensive score corresponding to the application system is obtained in a configuration management library, wherein the comprehensive score is a score for judging the risk of the application system from two dimensions of economic benefit and social benefit, and the economic benefit comprehensively considers the value creation capability of the service supported by the application system; the social benefit comprehensively considers the service country, service society and service public level of the business supported by the application system; the higher the comprehensive score of the application system is, the higher the economic benefit and the social benefit of the identification application system are, and the higher the risk degree of the application system for carrying out disaster recovery exercise is.
In the method provided by the embodiment of the invention, when a disaster recovery backup exercise plan generation request sent by a user is received, each application system corresponding to the disaster recovery backup exercise plan generation request is determined; based on the disaster recovery drilling plan generation request, acquiring a standard time feature vector and acquiring a system time feature vector of each application system; calculating the standard time feature vector and the system time feature vector of each application system respectively to obtain an exercise risk degree vector of each application system; and for each application system, acquiring a comprehensive score corresponding to the application system from a preset configuration management library, and generating a disaster recovery exercise plan of the application system based on the comprehensive score and the exercise risk degree vector. By applying the invention, when the disaster recovery exercise program of each application system is generated, the work of manual participation is reduced, multiple rounds of communication are not needed to be carried out on each department one by one, the time required by generating the disaster recovery exercise program of the system is effectively reduced, the disaster recovery exercise program of each application system can be quickly generated, and the efficiency of generating the disaster recovery exercise program is improved.
In the method for generating the disaster recovery exercise program of the system in the prior art, multiple rounds of communication are generally required to be performed with each department, the disaster recovery exercise program of the system is determined according to the information provided by each department, a large amount of information is required to generate the disaster recovery exercise program, and the information provided by each department is missing or incomplete, so that the generated disaster recovery exercise program has limitation and inaccuracy; by applying the invention, the risk degree of each application system in the exercise at different time can be calculated through the plurality of dimension information, so that the disaster recovery exercise plan of the system is generated, the limitation caused by information omission is greatly reduced, and the disaster recovery exercise plan generated based on the risk degree of the application system in the exercise at different time is more relevant to actual demand and has planning performance.
In the method provided by the embodiment of the invention, when generating the disaster recovery exercise plan of the application system, the generation is needed based on the standard time feature vector and the system time feature vector of the application system, wherein the flow of the method for acquiring the standard time feature vector is shown in the figure 2, and the specific description is as follows:
s201, determining an exercise time period corresponding to the disaster recovery exercise plan generation request, and determining overall plan information corresponding to the exercise time period.
In the method provided by the embodiment of the invention, the exercise time period can be set according to actual requirements, and the exercise time period takes days as a unit, for example, half a year and one year; with reference to practical applications, the exercise period is generally set to one year.
Further, the overall planning information refers to overall work arrangement information of the overall central system in the exercise time period, such as holiday information, weekends, specific transaction dates, system change time information and system production time information in the exercise time period; the specific transaction date can be a bank annual settlement date or a special shopping date, such as twenty-one, 618 years of great promotion and the like; the system change time information is the specific time of system change, such as 18:00-24:00 of Wednesday and Saturday and 0:00-6:00 of friday and Sunday, and is the specific time period of system change; the system production time information is specific time for producing the system, for example, in the period of 15 to 20 of each month, the time periods with the date of 0:00 to 6:00 of single number and the date of 18:00 to 24:00 of double number are used as specific time for producing the system. Alternatively, a time window may be available Representation, wherein->The value range of (2) is a positive integer, < >>The maximum value of (2) is the number of time windows; />It can be understood as the first time window, +.>The second time window is understood, and so on, and will not be described in detail herein.
S202, dividing the drilling time period into a plurality of time windows, and distributing uniform standard values for each time window.
In the method provided by the embodiment of the invention, the exercise time period is divided into a plurality of time windows, and preferably, the time duration corresponding to each time window is the same, for example, the time duration of two hours is used as one time window. For example: the exercise time period is one year, namely the exercise time period is 1 month, 1 day to 12 months and 31 days, and each 2 hours is divided into a time window, so that the following steps are obtained: 1 month 1 day 0:00-2:00 is a time window, 1 month 1 day 2:00-4:00 is a time window.
Further, a standard value is assigned to each time window, preferably, the standard value may be 1; the standard value represents a risk value of disaster recovery exercise in the time window; wherein the individual standard values may constitute an initial standard vector I, i= {1, … … 1}.
S203, for each time window, determining a planning attribute of the time window in the overall planning information based on the window characteristics of the time window, determining a planning risk value of the time window based on the planning attribute, and calculating the planning risk value of the time window and a standard value to obtain the time risk value of the time window.
In the method provided by the embodiment of the invention, the window characteristic can be specifically a time characteristic of a time window, such as date information, time information and the like of the time window, wherein the date information specifically comprises information of year, month, day and week of the time window, such as date information of 2021, 2 months and 15 days monday of the time window A; the time information comprises a specific time, for example, the time information of the time window A is 8:00-10:00.
Further, the schedule attribute of the time window is attribute information extracted from the overall schedule information, for example, the time window is a part of the duration in the system change time, or the time window may be a window under a specific transaction date. According to the planning attribute of each time window, determining the planning risk value of each time window, and multiplying the planning risk value of each time window by the standard value of the time window to obtain the time risk value of each time window, wherein the time risk value represents the risk value of disaster recovery practice under the time window; further illustratively, the projected risk value has a range of values of [1,100 ]. For example, when the time window is a window under a specific transaction date such as twenty-one or 618 years, the risk of performing disaster recovery exercise in the time window is high because the transaction amount of the client accessing the bank center system is high on the specific transaction date, and the planned risk value of the time window can be determined to be 90; when the time window is a weekend window and a window of non-system change time, the risk of performing disaster recovery exercise in the time window is moderate, and the risk can be quantized to 30; and will not be illustrated here. Further, the time risk value of the time window can be usedIndicating (I)>Representation time window->Is a time risk value of (a).
S204, assembling the time risk values of the time windows into first feature vectors, and determining the first feature vectors as standard time feature vectors.
In the method provided by the embodiment of the invention, time risk values of all time windows are assembled into a first feature vector according to the arrangement sequence of the time windows; and determining the first feature vector as a standard temporal feature vector.
Further illustratively, standard temporal feature vectors are availableTThe representation is made of a combination of a first and a second color,wherein->Representation time window->Is a time risk value of (a), nThe range of values of (c) may refer to the description in S201, and will not be described in detail herein.
In the method provided by the embodiment of the invention, the drilling time period is divided into a plurality of time windows, the time risk value of each time window is determined based on the overall plan information of the drilling time period, the standard time feature vector is determined based on the time risk value of each time window, and the standard time feature vector can face each application system, so that standard reference objects can be provided for each application system, standardized preparation is made for generating the disaster recovery drilling plan of each application system, and the generation efficiency of the disaster recovery drilling plan of each application system can be further improved.
In the method provided by the embodiment of the invention, when generating the disaster recovery practice plan of each application system, besides obtaining the standard time feature vector, the system time feature vector of each application system needs to be obtained, and the flow of the method for obtaining the system time feature vector of each application system is shown in fig. 3, and the specific description is as follows:
s301, determining system planning information of each application system.
In the method provided by the embodiment of the invention, the system plan information comprises a system production time plan, a system batch processing time, a system service period, a system maintainable period and the like of an application system; for example, the system service period may be 8:00-17:00 from monday to friday; the system batch processing time is 0:00-2:00 of each day; the system maintainable period is 0:00-24:00 of six weeks and weekdays.
S302, determining the system time attribute of each time window in the system plan information based on the window characteristics of each time window.
In the method provided by the embodiment of the present invention, the window feature of the time window may refer to the description of S203, which is not described herein again; the system time attribute of the time window is an attribute parameter of the time window extracted from the system planning information, for example, the time window is a time period in system batch processing time, and the system time attribute of the time window comprises a batch processing time attribute parameter; for another example, the time window is a time in a system service period, and system time data of the time window includes a service time attribute parameter; for another example, a time window is a time in a system maintainable period, the system time attribute of which includes a maintenance time attribute parameter.
S303, determining a system risk value of each time window based on the system time attribute of each time window.
In the method provided by the embodiment of the invention, the system time attributes are different, the system risk values are also different, and the system risk values of the time window represent the risk values of disaster recovery practice of the application system in the time window; continuing the example in S302, for example, when the system time attribute of the time window includes a batch time attribute parameter, determining that the system risk value of the application system is 40, and determining that the risk degree of performing disaster recovery exercise by the application system in the time window is moderate; for example, if the system time attribute of the time window contains a service time attribute parameter and the system risk value of the application system is determined to be 80, the risk degree of the application system for performing disaster recovery exercise in the time window is higher; the system time attribute of the time window comprises maintenance time attribute parameters, and if the system risk value of the application system is determined to be 1, the application system performs the process in the time window The risk degree of disaster recovery exercise is low; wherein the system risk value of the time window is availableIndicating (I)>Indicating that the application system is in the time window +.>Is a system risk value of (1).
S304, generating a second eigenvector containing the system risk value of each time window, and taking the second eigenvector as the system time eigenvector of the application system.
In the method provided by the embodiment of the invention, the system time feature vector of the application system can be usedSThe representation is made of a combination of a first and a second color,further description will be made of, for the purpose of representing different systemsSThe addition of a subscript indicates a different system, e.g +.>Representing application A, < >>Representing application system B.
According to the method provided by the embodiment of the invention, based on the system planning information of the application system, the system time attribute of the application system in each time window can be determined, and the system risk value of the application system in each time window is determined based on the system time attribute of each time window, so that the risk value of disaster recovery exercise of the application system in each time window can be rapidly determined, the system time feature vector of each application system can be rapidly determined, the process is less than the time spent by a worker in determining the system time feature vector of each application system according to various information of each application system, the participation degree of the worker is reduced, and the probability of error of the system time feature vector of the application system caused by omission of related information of the worker is further reduced.
In the method provided by the embodiment of the invention, after the standard time feature vector and the system time feature vector of each application system are determined, the exercise risk degree vector of each application system can be generated, and the specific process is shown in fig. 4, and the specific description is as follows:
s401, for each application system, calculating each system risk value in the system time feature vector of the application system and each time risk value in the standard time feature vector to obtain an exercise risk value when the application system exercises in each time window.
In the method provided by the embodiment of the invention, for each application system, the process of determining the exercise risk value of the application system when each time window performs exercise is as follows: for each time window, determining the system risk value and the time risk value of the time window, adding the obtained values, and determining the obtained values as the exercise risk value of the application system in the time window; the exercise risk value can be understood as the comprehensive exercise risk value of the application system for exercise in the time window; alternatively, the exercise risk value may be availableIndicating (I) >Indicating that the application system is in the time window->Exercise risk value for performing exercise.
And S402, generating a third eigenvector containing each drilling risk value, and determining the third eigenvector as the drilling risk degree vector of the application system.
In the method provided by the embodiment of the invention, the exercise risk degree vector of the application system can be usedRThe representation, wherein,，/>indicating that the application system is in the time window->Exercise risk value for performing exercise. Preferably, in order to distinguish between exercise risk degree vectors of different application systems, the method comprises the following steps ofRThe addition of subscripts indicates exercise risk level vectors for different application systems, e.g. +.>、/>And +.>Etc., wherein->A drill risk level vector representing the application system a,，/>identifying an exercise risk level vector for application system B,/->。
According to the method provided by the embodiment of the invention, based on the standard time feature vector and the system time feature vector of the application system, the exercise risk degree vector of the application system can be obtained, and the exercise risk value in the exercise risk degree vector is the comprehensive risk value of the application system for performing disaster recovery exercise in the corresponding time window, so that the exercise risk value can have comprehensive reference, and the accuracy of risk assessment of the application system for performing disaster recovery exercise in the time window is improved.
In the method provided by the embodiment of the invention, after the exercise risk degree vector of each application system is determined, the comprehensive score of each application system is required to be obtained, and for each application system, the comprehensive score of the application system and the exercise risk degree vector are combined, so that the disaster recovery exercise plan of the application system can be obtained; the specific contents are as follows:
arranging and combining the comprehensive scores and the exercise risk values in the exercise risk degree vectors to obtain exercise types of the application system for exercise in each time window;
and selecting a target time window for the application system to perform drilling from each time window based on the drilling type of each time window, and generating a disaster recovery drilling plan of the application system based on the target time window.
It should be noted that, each exercise risk value in the comprehensive score and the exercise risk degree vector is arranged and combined to obtain a plurality of combinations, each combination corresponds to each time window one by one, and the combination comprises an exercise risk rating performed by the application system in the time window; the exercise risk rating is high, medium or low; and determining target combinations from the combinations, and determining a time window corresponding to the target combinations as a target time window, wherein the target combinations are at least one. Preferably, three target combinations may be determined, wherein one target combination has a low exercise risk rating, another target combination has a medium exercise risk rating, and the last target combination has a high exercise risk rating.
According to the method provided by the embodiment of the invention, for each application system, the comprehensive score of the application system and each drilling risk value in the drilling risk degree vector are arranged and combined, so that the drilling risk rating of the application system for drilling in each time window can be provided, and then the corresponding time window can be selected according to the requirement, so that a disaster recovery drilling plan of the application system can be generated; the method provides various selectivities and accuracies for generating the disaster recovery exercise program, greatly reduces the manual participation degree in the process, does not need to communicate with each department of the application system, and improves the generation efficiency of the disaster recovery exercise program of the application system.
According to the method provided by the embodiment of the invention, the drilling risk rating of the disaster recovery drilling of the application system under each time window is calculated, so that the time window of the drilling risk rating for recommending the disaster recovery drilling of the application system to the staff can be decomposed, and the disaster recovery drilling system of the application system meeting the demands of the staff can be generated.
In the method provided by the embodiment of the invention, after disaster recovery practice plans of each application system are generated, the disaster recovery practice plans of each application system can be combined to obtain an overall disaster recovery practice plan; and saving the whole disaster backup exercise program to a preset plan database, and performing disaster backup exercise on each application system based on the whole disaster backup exercise program. By applying the invention, the process of generating the whole disaster recovery drilling plan is simple and quick, and the time cost is saved.
Corresponding to fig. 1, the present invention provides a system disaster recovery exercise plan generating device, which is used for implementing the implementation shown in fig. 1, and the device can be applied to various types of computers or servers, and the structure schematic diagram of the device is shown in fig. 5, and specifically includes:
a determining unit 501, configured to determine, when a disaster recovery drilling plan generation request sent by a user is received, each application system corresponding to the disaster recovery drilling plan generation request;
an obtaining unit 502, configured to obtain a standard time feature vector based on the disaster recovery drilling plan generation request, and obtain a system time feature vector of each application system;
a calculating unit 503, configured to calculate the standard time feature vector and a system time feature vector of each application system, so as to obtain a drilling risk degree vector of each application system;
and the generating unit 504 is configured to obtain, for each application system, a comprehensive score corresponding to the application system in a preset configuration management library, and generate a disaster recovery practice plan of the application system based on the comprehensive score and the practice risk degree vector.
In the device provided by the embodiment of the invention, when a disaster recovery backup exercise plan generation request sent by a user is received, each application system corresponding to the disaster recovery backup exercise plan generation request is determined; based on the disaster recovery drilling plan generation request, acquiring a standard time feature vector and acquiring a system time feature vector of each application system; calculating the standard time feature vector and the system time feature vector of each application system respectively to obtain an exercise risk degree vector of each application system; and for each application system, acquiring a comprehensive score corresponding to the application system from a preset configuration management library, and generating a disaster recovery exercise plan of the application system based on the comprehensive score and the exercise risk degree vector. By applying the invention, when the disaster recovery exercise program of each application system is generated, the work of manual participation is reduced, multiple rounds of communication are not needed to be carried out on each department one by one, the time required by generating the disaster recovery exercise program of the system is effectively reduced, the disaster recovery exercise program of each application system can be quickly generated, and the efficiency of generating the disaster recovery exercise program is improved.
Based on the above provided case, in the apparatus provided by the present invention, the obtaining unit 502 may be configured to:
a first determining subunit, configured to determine an exercise time period corresponding to the disaster recovery exercise plan generation request, and determine overall plan information corresponding to the exercise time period;
the distribution subunit is used for dividing the drilling time period into a plurality of time windows and distributing uniform standard values for each time window;
a second determining subunit, configured to determine, for each time window, a plan attribute of the time window in the overall plan information based on a window feature of the time window, determine a plan risk value of the time window based on the plan attribute, and calculate the plan risk value of the time window with a standard value to obtain a time risk value of the time window;
and the third determination subunit is used for assembling the time risk values of the time windows into a first feature vector and determining the first feature vector as a standard time feature vector.
Based on the above provided case, in the apparatus provided by the present invention, the obtaining unit 502 may be configured to:
A fourth determining subunit, configured to determine, for each of the application systems, system plan information of the application system;
a fifth determining subunit, configured to determine, in the system plan information, a system time attribute of each of the time windows based on a window feature of each of the time windows;
a sixth determining subunit, configured to determine a system risk value of each time window based on a system time attribute of each time window;
and the first generation subunit is used for generating a second eigenvector containing the system risk value of each time window and taking the second eigenvector as the system time eigenvector of the application system.
Based on the above provided case, in the apparatus provided by the present invention, the calculating unit 503 may be configured to:
an operation subunit, configured to, for each of the application systems, operate each system risk value in a system time feature vector of the application system with each time risk value in the standard time feature vector, to obtain an exercise risk value when the application system performs exercise in each time window;
and the second generation subunit is used for generating a third eigenvector containing each exercise risk value and determining the third eigenvector as an exercise risk degree vector of the application system.
Based on the above provided case, in the apparatus provided by the present invention, the generating unit 504 may be configured to:
the combination subunit is used for arranging and combining the comprehensive scores and the exercise risk values in the exercise risk degree vectors to obtain exercise types of the application system for performing exercise in each time window;
and the selecting subunit is used for selecting a target time window for the application system to perform the exercise from the time windows based on the exercise type of each time window, and generating a disaster recovery exercise plan of the application system based on the target time window.
Based on the above provided case, the apparatus provided by the present invention may be further configured to:
the combination unit is used for combining the disaster recovery practice plans of each application system to obtain an overall disaster recovery practice plan;
and the drilling unit is used for storing the whole disaster backup drilling plan into a preset plan database and performing disaster backup drilling on each application system based on the whole disaster backup drilling plan.
The embodiment of the invention also provides a storage medium, which comprises stored instructions, wherein the equipment where the storage medium is controlled to execute the management method of the server when the instructions run.
The embodiment of the present invention further provides an electronic device, whose structural schematic diagram is shown in fig. 6, specifically including a memory 601, and one or more instructions 602, where the one or more instructions 602 are stored in the memory 601, and configured to be executed by the one or more processors 603, where the one or more instructions 602 perform the following operations:
when a disaster recovery drilling plan generation request sent by a user is received, determining each application system corresponding to the disaster recovery drilling plan generation request;
based on the disaster recovery drilling plan generation request, acquiring a standard time feature vector and acquiring a system time feature vector of each application system;
calculating the standard time feature vector and the system time feature vector of each application system respectively to obtain an exercise risk degree vector of each application system;
and for each application system, acquiring a comprehensive score corresponding to the application system from a preset configuration management library, and generating a disaster recovery exercise plan of the application system based on the comprehensive score and the exercise risk degree vector.
The specific implementation process and derivative manner of the above embodiments are all within the protection scope of the present invention.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for a system or system embodiment, since it is substantially similar to a method embodiment, the description is relatively simple, with reference to the description of the method embodiment being made in part. The systems and system embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative elements and steps are described above generally in terms of functionality in order to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (2)
1. The disaster recovery drilling plan generation method of the system is characterized by comprising the following steps of:
when a disaster recovery drilling plan generation request sent by a user is received, determining each application system corresponding to the disaster recovery drilling plan generation request;
based on the disaster recovery drilling plan generation request, acquiring a standard time feature vector and acquiring a system time feature vector of each application system; the standard time feature vector comprises a plurality of standard vector parameters, and each standard vector parameter is a vector parameter under a corresponding time window; the system time feature vector comprises a plurality of system vector parameters, and each system vector parameter is a vector parameter of the application system under a corresponding time window;
Calculating the standard time feature vector and the system time feature vector of each application system respectively to obtain an exercise risk degree vector of each application system;
for each application system, acquiring a comprehensive score corresponding to the application system from a preset configuration management library, and generating a disaster recovery exercise plan of the application system based on the comprehensive score and the exercise risk degree vector; the comprehensive score is a score for judging the risk of the application system from two dimensions of economic benefit and social benefit; the higher the comprehensive score of the application system is, the higher the economic benefit and the social benefit of the application system are, and the higher the risk degree of the application system for carrying out disaster recovery exercise is;
the generating a request based on the disaster recovery drilling plan, obtaining a standard time feature vector, includes:
determining an exercise time period corresponding to the disaster recovery exercise plan generation request, and determining overall plan information corresponding to the exercise time period; the overall planning information refers to overall work arrangement information of the overall center system in the exercise time period, and the overall planning information comprises: holiday information, weekends, specific transaction dates, system change time information and system production time information in the exercise time period;
Dividing the exercise time period into a plurality of time windows, and distributing a unified standard value for each time window;
for each time window, determining a planning attribute of the time window in the overall planning information based on window characteristics of the time window, determining a planning risk value of the time window based on the planning attribute, and calculating the planning risk value of the time window and a standard value to obtain a time risk value of the time window; the window characteristics of the time window represent the time characteristics of the time window, and the window characteristics comprise date information and time information of the time window; the planning attribute of the time window is attribute information extracted from the whole planning information, and the planning attribute of the time window comprises a part of duration representing that the time window is in system change time or comprises a window representing that the time window is under a specific transaction date; the time risk value of the time window represents the risk value of disaster recovery drilling under the time window;
assembling the time risk values of the time windows into first feature vectors, and determining the first feature vectors as standard time feature vectors;
The obtaining the system time feature vector of each application system includes:
for each application system, determining system planning information of the application system; the system plan information comprises a system production time plan, a system batch processing time, a system service period and a system maintainable period of an application system;
determining a system time attribute of each time window in the system plan information based on window characteristics of each time window;
determining a system risk value of each time window based on the system time attribute of each time window; the system time attribute of the time window is an attribute parameter of the time window extracted from system planning information, and the system time attribute of the time window comprises a processing time attribute parameter, a service time attribute parameter and a maintenance time attribute parameter; the system risk value of the time window represents the risk value of the disaster recovery practice of the application system in the time window;
generating a second eigenvector containing the system risk value of each time window, and taking the second eigenvector as the system time eigenvector of the application system;
The step of calculating the standard time feature vector and the system time feature vector of each application system to obtain the exercise risk degree vector of each application system comprises the following steps:
for each application system, calculating each system risk value in the system time feature vector of the application system and each time risk value in the standard time feature vector to obtain an exercise risk value when the application system exercises in each time window;
generating a third eigenvector containing each drilling risk value, and determining the third eigenvector as a drilling risk degree vector of the application system;
the generating the disaster backup exercise plan of the application system based on the comprehensive score and the exercise risk degree vector comprises the following steps:
arranging and combining the comprehensive scores and each exercise risk value in the exercise risk degree vector to obtain a plurality of combinations, wherein each combination corresponds to each time window one by one, and the combination comprises exercise risk rating of an application system for exercise in the time window;
determining target combinations from the combinations, determining a time window corresponding to the target combinations as a target time window, and generating a disaster recovery practice plan of the application system based on the target time window;
Further comprises:
combining disaster recovery drilling plans of each application system to obtain an overall disaster recovery drilling plan;
and saving the whole disaster backup exercise program to a preset plan database, and performing disaster backup exercise on each application system based on the whole disaster backup exercise program.
2. A disaster recovery drilling plan generation device of a system, comprising:
the system comprises a determining unit, a control unit and a control unit, wherein the determining unit is used for determining each application system corresponding to a disaster recovery drilling plan generation request when receiving the disaster recovery drilling plan generation request sent by a user;
the acquisition unit is used for generating a request based on the disaster recovery drilling plan, acquiring a standard time feature vector and acquiring a system time feature vector of each application system; the standard time feature vector comprises a plurality of standard vector parameters, and each standard vector parameter is a vector parameter under a corresponding time window; the system time feature vector comprises a plurality of system vector parameters, and each system vector parameter is a vector parameter of the application system under a corresponding time window;
the computing unit is used for computing the standard time feature vector and the system time feature vector of each application system respectively to obtain a drilling risk degree vector of each application system;
The generation unit is used for acquiring comprehensive scores corresponding to the application systems from a preset configuration management library for each application system, and generating disaster recovery practice plans of the application systems based on the comprehensive scores and the practice risk degree vectors; the comprehensive score is a score for judging the risk of the application system from two dimensions of economic benefit and social benefit; the higher the comprehensive score of the application system is, the higher the economic benefit and the social benefit of the application system are, and the higher the risk degree of the application system for carrying out disaster recovery exercise is;
the acquisition unit includes:
a first determining subunit, configured to determine an exercise time period corresponding to the disaster recovery exercise plan generation request, and determine overall plan information corresponding to the exercise time period; the overall planning information refers to overall work arrangement information of the overall center system in the exercise time period, and the overall planning information comprises: holiday information, weekends, specific transaction dates, system change time information and system production time information in the exercise time period;
the distribution subunit is used for dividing the drilling time period into a plurality of time windows and distributing uniform standard values for each time window;
A second determining subunit, configured to determine, for each time window, a plan attribute of the time window in the overall plan information based on a window feature of the time window, determine a plan risk value of the time window based on the plan attribute, and calculate the plan risk value of the time window with a standard value to obtain a time risk value of the time window; the window characteristics of the time window represent the time characteristics of the time window, and the window characteristics comprise date information and time information of the time window; the planning attribute of the time window is attribute information extracted from the whole planning information, and the planning attribute of the time window comprises a part of duration representing that the time window is in system change time or comprises a window representing that the time window is under a specific transaction date; the time risk value of the time window represents the risk value of disaster recovery drilling under the time window;
a third determining subunit, configured to assemble the time risk values of the time windows into a first feature vector, and determine the first feature vector as a standard time feature vector;
The acquisition unit includes:
a fourth determining subunit, configured to determine, for each of the application systems, system plan information of the application system; the system plan information comprises a system production time plan, a system batch processing time, a system service period and a system maintainable period of an application system;
a fifth determining subunit, configured to determine, in the system plan information, a system time attribute of each of the time windows based on a window feature of each of the time windows;
a sixth determining subunit, configured to determine a system risk value of each time window based on a system time attribute of each time window; the system time attribute of the time window is an attribute parameter of the time window extracted from system planning information, and the system time attribute of the time window comprises a processing time attribute parameter, a service time attribute parameter and a maintenance time attribute parameter; the system risk value of the time window represents the risk value of the disaster recovery practice of the application system in the time window;
a first generating subunit, configured to generate a second feature vector containing a system risk value of each time window, and use the second feature vector as a system time feature vector of the application system;
The calculation unit includes:
an operation subunit, configured to, for each of the application systems, operate each system risk value in a system time feature vector of the application system with each time risk value in the standard time feature vector, to obtain an exercise risk value when the application system performs exercise in each time window;
the second generation subunit is used for generating a third eigenvector containing each exercise risk value and determining the third eigenvector as an exercise risk degree vector of the application system;
the generation unit includes:
the combination subunit is used for arranging and combining the comprehensive scores and the exercise risk values in the exercise risk degree vectors to obtain a plurality of combinations, wherein each combination corresponds to each time window one by one, and the combination comprises an exercise risk rating of an application system for exercise in the time window;
the selecting subunit is used for determining target combinations from all combinations, determining a time window corresponding to the target combinations as a target time window, and generating a disaster recovery practice plan of the application system based on the target time window;
Further comprises:
the combination unit is used for combining the disaster recovery practice plans of each application system to obtain an overall disaster recovery practice plan;
and the drilling unit is used for storing the whole disaster backup drilling plan into a preset plan database and performing disaster backup drilling on each application system based on the whole disaster backup drilling plan.
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| US10331524B2 (en) * | 2016-06-21 | 2019-06-25 | International Business Machines Corporation | Optimizing data backup schedules |
| US10310948B2 (en) * | 2016-07-13 | 2019-06-04 | Dell Products, L.P. | Evaluation of risk of data loss and backup procedures |
| US10649857B2 (en) * | 2017-01-04 | 2020-05-12 | International Business Machine Corporation | Risk measurement driven data protection strategy |
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