CN112527481A - 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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Abstract
The invention provides a systematic disaster recovery drilling plan generation method and a device, 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 the disaster recovery drilling plan, acquiring a standard time characteristic vector and acquiring a system time characteristic vector of each application system; respectively calculating the standard time characteristic vector and the system time characteristic vector of each application system to obtain a drilling risk degree vector of each application system; and for each application system, generating a disaster recovery drilling plan of the application system based on the comprehensive score and the drilling risk degree vector of the application system. By applying the method and the device, when the disaster-backup drilling plan 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 for generating the disaster-backup drilling plan of the system is effectively reduced, the disaster-backup drilling plan of each application system can be generated rapidly, and the efficiency for generating the disaster-backup drilling plan is improved.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a systematic disaster recovery drilling plan generation method and device.
Background
In order to ensure sufficient coping and recovery capabilities of various systems when encountering sudden accidents or disasters, the systems are usually required to be performed with disaster recovery exercises. By performing the in-disaster recovery drilling, the system can be effectively linked and switched when a disaster occurs, so that the data loss is avoided, and the condition that the system stops running for a long time to cause heavy loss is also prevented; the disaster recovery drilling can effectively reduce the probability that the system can not recover the function in time when encountering a disaster.
When disaster recovery drilling is performed on a system, the system is usually executed according to a drilling plan of the system, the drilling plan of the system usually needs to be communicated with an operation and maintenance department and a development department of the system one by one for determining the drilling plan of the system, the time cost for communicating with the operation and maintenance department and the development department of the system is large, the time for determining the drilling plan of the system is long, and the drilling plan of each system cannot be determined quickly under the condition that the number of the systems is increased.
Disclosure of Invention
In view of the above, the present invention provides a method and an apparatus for generating a systematic disaster recovery drilling plan, and it should be appreciated that in the generation of the systematic disaster recovery drilling plan, there is no need for a worker to communicate with an operation and maintenance department and a development department, so that the time required for generating the disaster recovery drilling plan is effectively shortened, the disaster recovery drilling plan is generated quickly, and the generation efficiency of the generated disaster recovery drilling plan is improved.
In order to achieve the purpose, the invention provides the following technical scheme:
a systematic disaster recovery drilling plan generation 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;
generating a request based on the disaster recovery drilling plan, acquiring a standard time characteristic vector and acquiring a system time characteristic vector of each application system;
calculating the standard time characteristic vector and the system time characteristic vector of each application system respectively to obtain a drilling risk degree vector of each application system;
and for each application system, acquiring a comprehensive score corresponding to the application system in a preset configuration management library, and generating a disaster recovery drilling plan of the application system based on the comprehensive score and the drilling risk degree vector.
Optionally, the above method, where the generating a request based on the disaster recovery drilling plan to obtain a standard time feature vector includes:
determining a drilling time period corresponding to the disaster backup drilling plan generation request, and determining overall plan information corresponding to the drilling time period;
dividing the drilling time period into a plurality of time windows, and distributing a uniform standard numerical value for each time window;
for each time window, determining a plan attribute of the time window in the overall plan information based on the window characteristics of the time window, determining a plan risk value of the time window based on the plan attribute, and calculating the plan risk value of the time window and a standard value to obtain the time risk value of the time window;
and assembling the time risk value of each time window into a first feature vector, and determining the first feature vector as a standard time feature vector.
Optionally, the obtaining the system time feature vector of each application system includes:
for each application system, determining system plan information of the application system;
determining a system time attribute for each of the time windows in the system planning information based on the window characteristics for each of the time windows;
determining a system risk value for each of the time windows based on the system time attribute for each of the time windows;
and generating a second feature vector containing the system risk value of each time window, and taking the second feature vector as the system time feature vector of the application system.
Optionally, the above method, 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 includes:
for each application system, calculating each system risk value in the system time characteristic vector of the application system and each time risk value in the standard time characteristic vector to obtain a drilling risk value of the application system during drilling in each time window;
and generating a third feature vector containing each drilling risk value, and determining the third feature vector as a drilling risk degree vector of the application system.
Optionally, the method for generating a disaster recovery drilling plan of the application system based on the comprehensive score and the drilling risk degree vector includes:
arranging and combining the comprehensive scores and the drilling risk values in the drilling risk degree vector to obtain the drilling type of the application system for drilling in each time window;
and selecting a target time window for the application system to drill in 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 above method, optionally, further includes:
combining the disaster recovery drilling plans of each application system to obtain an overall disaster recovery drilling plan;
and storing the overall disaster recovery drilling plan to a preset plan database, and performing disaster recovery drilling on each application system based on the overall disaster recovery drilling plan.
A disaster recovery drilling plan generation device of a system includes:
the system comprises a determining unit, a judging unit and a processing unit, wherein the determining unit is used for determining each application system corresponding to a disaster backup drilling plan generating request when the disaster backup drilling plan generating request sent by a user is received;
the obtaining unit is used for generating a request based on the disaster recovery drilling plan, obtaining a standard time characteristic vector and obtaining a system time characteristic vector of each application system;
the calculation unit is used for calculating the standard time characteristic vector and the system time characteristic 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 a comprehensive score corresponding to each application system in a preset configuration management library and generating a disaster recovery drilling plan of the application system based on the comprehensive score and the drilling risk degree vector.
The above apparatus, optionally, the obtaining unit includes:
a first determining subunit, configured to determine a drilling time period corresponding to the disaster-preparation drilling plan generating request, and determine overall plan information corresponding to the drilling time period;
the distribution subunit is used for dividing the drilling time period into a plurality of time windows and distributing a uniform standard numerical value 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 the 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 and a standard value to obtain a time risk value of the time window;
and the third determining 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 apparatus, optionally, the obtaining 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 planning information, a system time attribute of each of the time windows based on the window characteristics of each of the time windows;
a sixth determining subunit, configured to determine a system risk value for each of the time windows based on the system time attribute of each of the time windows;
and the first generating subunit is used for generating a second feature vector containing the system risk value of each time window, and taking the second feature vector as the system time feature vector of the application system.
The above apparatus, optionally, the calculating unit includes:
the operation subunit is configured to, for each application system, perform operation on 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 a drilling risk value of the application system during drilling in each time window;
and the second generating subunit is used for generating a third feature vector containing each drilling risk value, and determining the third feature vector as the drilling risk degree vector of the application system.
The above apparatus, optionally, the generating unit includes:
the combination subunit is configured to arrange and combine the comprehensive score and each drilling risk value in the drilling risk degree vector to obtain a drilling type of the application system performing drilling in each time window;
and the selecting subunit is configured to select, based on the drilling type of each time window, a target time window for drilling by the application system from the time windows, and generate a disaster recovery drilling plan of the application system based on the target time window.
The above apparatus, optionally, further comprises:
the combining unit is used for combining the disaster recovery drilling plans of each application system to obtain an overall disaster recovery drilling plan;
and the drilling unit is used for storing the overall disaster recovery drilling plan to a preset plan database and performing disaster recovery drilling on each application system based on the overall disaster recovery drilling plan.
Compared with the prior art, the invention has the following advantages:
the invention provides a systematic disaster recovery drilling plan generation method and a device, 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; generating a request based on the disaster recovery drilling plan, acquiring a standard time characteristic vector and acquiring a system time characteristic vector of each application system; calculating the standard time characteristic vector and the system time characteristic vector of each application system respectively to obtain a drilling risk degree vector of each application system; and for each application system, acquiring a comprehensive score corresponding to the application system in a preset configuration management library, and generating a disaster recovery drilling plan of the application system based on the comprehensive score and the drilling risk degree vector. By applying the method and the device, when the disaster recovery drilling plan 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 for generating the disaster recovery drilling plan of the system is effectively reduced, the disaster recovery drilling plan of each application system can be generated rapidly, and the efficiency for generating the disaster recovery drilling plan is improved.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a flowchart of a method for generating a disaster recovery drilling plan of a system according to an embodiment of the present invention;
fig. 2 is a flowchart of another method of generating a disaster recovery drilling plan of a system according to an embodiment of the present invention;
fig. 3 is a flowchart of another method of generating a disaster recovery drilling plan of the system according to the embodiment of the present invention;
fig. 4 is a flowchart of another method of generating a disaster recovery drilling plan of the system according to the embodiment of the present invention;
fig. 5 is a schematic structural diagram of a disaster recovery drilling 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 technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In this application, 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 an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The methods provided by embodiments of the present invention may be implemented in numerous general purpose or special purpose computing device environments or configurations, such as: personal computers, server computers, hand-held or portable devices, tablet-type devices, multi-processor apparatus, distributed computing environments that include any of the above devices or equipment, and the like.
The method provided by the embodiment of the invention can be applied to central systems of various industries, such as the central system of a commercial bank, wherein the central system consists of various subsystems or functional systems; the method provided by the invention can be applied to generate the disaster recovery drilling plan of the system. Referring to fig. 1, a flowchart of a method for generating a disaster recovery drilling plan of a system according to an embodiment of the present invention is specifically described as follows:
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 present invention, the disaster backup drilling plan generation request is analyzed to obtain each system identifier, and each application system corresponding to the disaster backup drilling plan generation request is determined based on the system identifier, where it should be noted that each application system may be each system in a bank platform, such as a business system, an information system, and the like. The system identification is an identification of the system and can be composed of numbers and letters.
S102, generating a request based on the disaster recovery drilling plan, obtaining standard time characteristic vectors and obtaining system time characteristic vectors of each application system.
In the method provided by the embodiment of the present invention, the standard time feature vector is a universal time feature vector for any application system, the standard feature vector includes a plurality of standard vector parameters, and each standard vector parameter is a vector parameter in a corresponding time window;
the system time characteristic vector of the application system comprises a plurality of system vector parameters, and each system vector parameter is the vector parameter of the application system under a corresponding time window.
S103, calculating the standard time characteristic vector and the system time characteristic vector of each application system respectively to obtain the drilling risk degree vector of each application system.
In the method provided by the embodiment of the invention, for each application system, a standard time characteristic vector and a system time characteristic vector of the application system are calculated according to a preset calculation method to obtain a drilling risk degree vector of the application system; the drilling risk degree vector comprises a plurality of risk degree vectors, and each risk degree vector is a risk value of the application system for performing disaster recovery drilling in a corresponding time window.
And S104, for each application system, acquiring a comprehensive score corresponding to the application system in a preset configuration management library, and generating a disaster recovery drilling plan of the application system based on the comprehensive score and the drilling risk degree vector.
In the method provided by the embodiment of the invention, for each application system, based on the system identifier 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, the service society and the level of the service public of the business supported by the application system; the higher the comprehensive score of the application system is, the higher the economic benefit and social benefit of the identification application system are, and the higher the risk degree of the application system for carrying out disaster recovery drilling is.
In the method provided by the embodiment of the invention, 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 is determined; generating a request based on the disaster recovery drilling plan, acquiring a standard time characteristic vector and acquiring a system time characteristic vector of each application system; calculating the standard time characteristic vector and the system time characteristic vector of each application system respectively to obtain a drilling risk degree vector of each application system; and for each application system, acquiring a comprehensive score corresponding to the application system in a preset configuration management library, and generating a disaster recovery drilling plan of the application system based on the comprehensive score and the drilling risk degree vector. By applying the method and the device, when the disaster recovery drilling plan 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 for generating the disaster recovery drilling plan of the system is effectively reduced, the disaster recovery drilling plan of each application system can be generated rapidly, and the efficiency for generating the disaster recovery drilling plan is improved.
It should be noted that, in the conventional method for generating a disaster recovery drilling plan of a system, multiple rounds of communication are generally required with each department, the disaster recovery drilling plan of the system is determined according to information provided by each department, a large amount of information is required for generating the disaster recovery drilling plan, and the information provided by each department is omitted or incomplete, so that the generated disaster recovery drilling plan is limited and inaccurate; by applying the method and the device, the risk degree of each application system performing in different time can be calculated through the multi-dimensional information, so that the disaster recovery drilling plan of the system is generated, the limitation caused by information omission is reduced to a great extent, and the disaster recovery drilling plan generated based on the risk degrees of the application systems performing in different time is more suitable for actual demand and has planning performance.
In the method provided in the embodiment of the present invention, when generating a disaster recovery drilling plan of an application system, generation of a system time feature vector based on a standard time feature vector and the application system is required, where a flow of a method for obtaining the standard time feature vector is shown in fig. 2, and the following is specifically described:
s201, determining a drilling time period corresponding to the disaster preparation drilling plan generating request, and determining overall planning information corresponding to the drilling time period.
In the method provided by the embodiment of the invention, the drilling time period can be set according to actual requirements, and the drilling time period is in days, such as half a year and one year; the drill time period is usually set to one year with reference to the actual application.
Further, the overall plan information refers to the overall work schedule information of the entire central system during the exercise period, for exampleHoliday information, weekends, specific transaction dates, system change time information and system production time information in the drilling time period; wherein, the specific transaction date can be a bank final settlement date or a special shopping date, such as twenty-one, 618 middle promotion, etc.; the system change time information is the specific time when the system changes, such as 18:00-24:00 on thursday and saturday of each week and 0:00-6:00 on friday and sunday of each week, and is the specific time period of the system change; the system commissioning time information is the specific time for commissioning by the system, for example, in the period of 15 to 20 months, the time periods with the date of 0:00-6:00 of single number and the date of 18:00-24:00 of double number are taken as the specific time for commissioning by the system. Optionally, the time window may be tnRepresenting, wherein the value range of n is a positive integer, and the maximum value of n is the number of time windows; t is t1Understood as the first time window, t2The second time window can be understood, and so on, and will not be described herein.
S202, dividing the drilling time period into a plurality of time windows, and distributing a uniform standard numerical value for each time window.
In the method provided by the embodiment of the present invention, the drilling time period is divided into a plurality of time windows, preferably, the corresponding duration of each time window is the same, for example, the duration of two hours is used as one time window. For example: the drilling time period is one year, i.e. the drilling time period is 1 month 1 day to 12 months 31 days, and every 2 hours is divided into a time window, then the following can be obtained: 1 month and 1 day, 0:00-2:00 is a time window, 1 month and 1 day, 2:00-4:00 is a time window, and the like, the exercise time period can be divided into a plurality of time windows.
Further, a standard value is assigned to each time window, and preferably, the standard value can be 1; the standard numerical value represents a risk value of disaster recovery drilling in the time window; wherein each norm value may constitute an initial norm vector I, I ═ {1,1, … … 1 }.
S203, for each time window, determining the plan attribute of the time window in the overall plan information based on the window characteristics of the time window, determining the plan risk value of the time window based on the plan attribute, and calculating the plan risk value of the time window and the standard value to obtain the time risk value of the time window.
In the method provided by the embodiment of the present invention, the window characteristic may specifically be a time characteristic of the time window, such as date information, time information, etc. of the time window, where the date information specifically includes information of year, month, day, and week of the time window, for example, the date information of the time window a is 2021 year, 2 month, 15 days monday; the time information includes specific time, for example, the time information of the time window a is 8:00-10: 00.
Further, the plan attribute of the time window is attribute information extracted from the overall plan information, for example, the time window is represented as a partial duration of the system change time, or the time window may be represented as a window at a specific transaction date. The planning risk value of each time window can be determined according to the planning attribute of each time window, and the planning risk value of each time window is multiplied 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 performing disaster recovery drilling under the time window; to illustrate, the value range of the planned risk value is [1,100 ]]. For example, when the time window is a window at a specific transaction date such as great promotion in twenty-one or 618 years, because the transaction amount of the customer accessing the banking center system is high on the specific transaction date, the risk of performing disaster recovery drilling in the time window is high, and the planned risk value of the time window may be determined to be 90; when the time window is a weekend and is not a time window for system change, the risk of performing disaster recovery drilling in the time window is moderate, and the numerical value can be 30; and will not be illustrated here. Further, the time risk value of the time window may be atnIs shown as atnRepresenting a time window tnThe time risk value of (a).
S204, the time risk values of the time windows are assembled into a first feature vector, and the first feature vector is determined as a standard time feature vector.
In the method provided by the embodiment of the invention, the time risk values of each time window are assembled into a first eigenvector according to the arrangement sequence of the time windows; and determines the first feature vector as a standard feature vector.
To illustrate, the standard feature vector can be represented by T, where T ═ at1,at2,at3,.....,atnIn which atnRepresenting a time window tnThe value range of n of the time risk value (S) can refer to the description in S201, and is not described herein again.
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 whole planning information of the drilling time period, the standard time eigenvector is determined based on the time risk value of each time window, and the standard time eigenvector can face each application system, so that a standard reference object 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 in the embodiment of the present invention, when generating the disaster recovery drilling plan for each application system, in addition to obtaining the standard time feature vector, a system time feature vector of each application system needs to be obtained, and a flow of the method for obtaining the system time feature vector of each application system is shown in fig. 3, which specifically describes the following:
s301, determining system plan 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 time interval, a system maintainable time interval and the like of the application system; for example, the system service period may be 8:00-17:00 on Monday through Friday; the system batch processing time is 0:00-2:00 per day; the system can be maintained for a period of 0:00-24:00 for each saturday and sunday.
S302, determining the system time attribute of each time window in the system planning information based on the window characteristics of each time window.
In the method provided by the embodiment of the present invention, the window characteristics 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 plan information, for example, the time window is a time period in the 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 the time in the system service period, and the system time data of the time window contains the service time attribute parameter; for another example, a time window is a time in a system maintainable time period, and the system time attribute of the time window 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 value of the time window represents the risk value of the application system performing disaster recovery drilling in the time window; continuing the example in S302, for example, when the system time attribute of the time window includes the batch processing time attribute parameter, the system risk value of the application system is determined to be 40, and the risk degree of the application system performing the disaster recovery drilling in the time window is medium; for example, the system time attribute of the time window includes a service time attribute parameter, and the system risk value of the application system is determined to be 80, so that the risk degree of the application system performing disaster recovery drilling in the time window is high; for example, if the system time attribute of the time window includes the maintenance time attribute parameter, and the system risk value of the application system is determined to be 1, the risk degree of the application system performing disaster recovery drilling in the time window is low; wherein the system risk value of the time window is available
It is shown that,
indicating that the application is in the time window tnThe system risk value of (1).
S304, generating a second feature vector containing the system risk value of each time window, and taking the second feature vector as the system time feature vector of the application system.
In the method provided by the embodiment of the invention, the system time characteristic vector of the application system can be represented by S,
to illustrate further, to indicate different systems, increasing S with a subscript indicates a different system, e.g., SARepresenting application systems A, SBRepresenting application system B.
In 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 based on the system time attribute of each time window, the system risk value of the application system in each time window can be determined, so that the risk value of the application system for performing disaster recovery drilling in each time window can be rapidly determined, and the system time characteristic vector of each application system can be rapidly determined.
In the method provided in the embodiment of the present invention, after the standard time feature vector and the system time feature vector of each application system are determined, a drilling risk degree vector of each application system can be generated, and a specific process is shown in fig. 4 and specifically described as follows:
s401, for each application system, calculating each system risk value in the system time characteristic vector of the application system and each time risk value in the standard time characteristic vector to obtain a drilling risk value of the application system during drilling in each time window.
In the method provided by the embodiment of the present invention, for each application system, the process of determining the drilling risk value of the application system during drilling in each time window is as follows: for each time window, determining the system risk value and the time risk value of the time window to be added, and determining the value obtained by the addition as the drilling risk value of the application system in the time window; the exercise risk value here can be understood as a comprehensive exercise risk value for exercise of the application system in the time window; optionally, the drill risk value can be rtnIs represented bytnIndicating that the application is in the time window tnA drill risk value for performing a drill.
S402, generating third feature vectors containing the drilling risk values, and determining the third feature vectors as the drilling risk degree vectors of the application system.
In the method provided by the embodiment of the present invention, the drilling risk degree vector of the application system can be represented by R, wherein,
indicating that the application is in the time window tnA drill risk value for performing a drill. Preferably, in order to distinguish the exercise risk degree vectors of different application systems, subscripts are added to R to indicate exercise risk degree vectors of different application systems, for example RA、RBAnd RCEtc. wherein RARepresenting a training risk level vector, R, of the application AA＝SA+T，RBIdentifying a drill risk level vector, R, of an application BB＝SB+T。
In the method provided by the embodiment of the invention, based on the standard time characteristic vector and the system time characteristic vector of the application system, the drilling risk degree vector of the application system can be obtained, the drilling risk value in the drilling risk degree vector is a comprehensive risk value of the application system performing disaster recovery drilling in a corresponding time window, the drilling risk value can have comprehensive reference, and the accuracy of risk evaluation of the application system performing disaster recovery drilling in the time window is also improved.
In the method provided by the embodiment of the invention, after the drilling 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 drilling risk degree vector are combined, so that a disaster recovery drilling plan of the application system can be obtained; the specific contents are as follows:
arranging and combining the comprehensive scores and the drilling risk values in the drilling risk degree vector to obtain the drilling type of the application system for drilling in each time window;
and selecting a target time window for the application system to drill in 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, the drilling risk values in the comprehensive score and the drilling risk degree vector are arranged and combined to obtain a plurality of combinations, each combination corresponds to each time window one by one, and the combination includes the drilling risk rating of the application system performing drilling in the time window; the drill 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 the drilling risk rating of one target combination is low, the drilling risk rating of another target combination is medium, and the drilling risk rating of the last target combination is high.
In the method provided by the embodiment of the invention, for each application system, the comprehensive scores of the application systems and the drilling risk values in the drilling risk degree vector are arranged and combined, so that the drilling risk rating of the application systems 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 systems can be generated; the method provides various selectivity and accuracy for generating the disaster recovery drilling plan, reduces the degree of manual participation to a great extent in the process, and does not need to communicate with each department of the application system, so that the generation efficiency of the disaster recovery drilling plan of the application system is improved.
In the method provided by the embodiment of the invention, the drilling risk rating of the application system for performing disaster-preparation drilling under each time window is calculated, and the time window of the disaster-preparation drilling of the application system can be recommended to the staff by the drilling risk rating, so that the disaster-preparation drilling system of the application system meeting the requirements of the staff can be generated.
In the method provided by the embodiment of the invention, after the disaster recovery drilling plans of each application system are generated, the disaster recovery drilling plans of each application system can be combined to obtain an overall disaster recovery drilling plan; and storing the overall disaster recovery drilling plan to a preset plan database, and performing disaster recovery drilling on each application system based on the overall disaster recovery drilling plan. By applying the method and the device, 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 disaster recovery drilling plan generating device of a system, which is used for implementing the embodiment shown in fig. 1, and the device can be applied to various types of computers or servers, and a schematic structural 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 of the application systems;
a calculating unit 503, configured to calculate 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;
a generating unit 504, configured to, for each application system, obtain, in a preset configuration management library, a composite score corresponding to the application system, and generate a disaster recovery drilling plan for the application system based on the composite score and the drilling risk degree vector.
In the device provided by the embodiment of the invention, 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 is determined; generating a request based on the disaster recovery drilling plan, acquiring a standard time characteristic vector and acquiring a system time characteristic vector of each application system; calculating the standard time characteristic vector and the system time characteristic vector of each application system respectively to obtain a drilling risk degree vector of each application system; and for each application system, acquiring a comprehensive score corresponding to the application system in a preset configuration management library, and generating a disaster recovery drilling plan of the application system based on the comprehensive score and the drilling risk degree vector. By applying the method and the device, when the disaster recovery drilling plan 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 for generating the disaster recovery drilling plan of the system is effectively reduced, the disaster recovery drilling plan of each application system can be generated rapidly, and the efficiency for generating the disaster recovery drilling plan is improved.
Based on the above-mentioned example, in the apparatus provided by the present invention, the obtaining unit 502 may be configured to:
a first determining subunit, configured to determine a drilling time period corresponding to the disaster-preparation drilling plan generating request, and determine overall plan information corresponding to the drilling time period;
the distribution subunit is used for dividing the drilling time period into a plurality of time windows and distributing a uniform standard numerical value 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 the 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 and a standard value to obtain a time risk value of the time window;
and the third determining 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-mentioned example, 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 planning information, a system time attribute of each of the time windows based on the window characteristics of each of the time windows;
a sixth determining subunit, configured to determine a system risk value for each of the time windows based on the system time attribute of each of the time windows;
and the first generating subunit is used for generating a second feature vector containing the system risk value of each time window, and taking the second feature vector as the system time feature vector of the application system.
Based on the above-mentioned example, in the apparatus provided by the present invention, the calculating unit 503 may be configured to:
the operation subunit is configured to, for each application system, perform operation on 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 a drilling risk value of the application system during drilling in each time window;
and the second generating subunit is used for generating a third feature vector containing each drilling risk value, and determining the third feature vector as the drilling risk degree vector of the application system.
Based on the above-mentioned example, in the apparatus provided by the present invention, the generating unit 504 may be configured to:
the combination subunit is configured to arrange and combine the comprehensive score and each drilling risk value in the drilling risk degree vector to obtain a drilling type of the application system performing drilling in each time window;
and the selecting subunit is configured to select, based on the drilling type of each time window, a target time window for drilling by the application system from the time windows, and generate a disaster recovery drilling plan of the application system based on the target time window.
Based on the above-mentioned cases, the apparatus provided by the present invention can be further configured to:
the combining unit is used for combining the disaster recovery drilling plans of each application system to obtain an overall disaster recovery drilling plan;
and the drilling unit is used for storing the overall disaster recovery drilling plan to a preset plan database and performing disaster recovery drilling on each application system based on the overall disaster recovery drilling plan.
The embodiment of the invention also provides a storage medium, which comprises a stored instruction, wherein when the instruction runs, the device where the storage medium is located is controlled to execute the management method of the server.
An electronic device is provided in an embodiment of the present invention, and the structural diagram of the electronic device is shown in fig. 6, which specifically includes 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 one or more processors 603 to perform the following operations on the one or more instructions 602:
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;
generating a request based on the disaster recovery drilling plan, acquiring a standard time characteristic vector and acquiring a system time characteristic vector of each application system;
calculating the standard time characteristic vector and the system time characteristic vector of each application system respectively to obtain a drilling risk degree vector of each application system;
and for each application system, acquiring a comprehensive score corresponding to the application system in a preset configuration management library, and generating a disaster recovery drilling plan of the application system based on the comprehensive score and the drilling risk degree vector.
The specific implementation procedures and derivatives thereof of the above embodiments are within the scope of the present invention.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, the system or system embodiments are substantially similar to the method embodiments and therefore are described in a relatively simple manner, and reference may be made to some of the descriptions of the method embodiments for related points. The above-described system and system embodiments are only illustrative, wherein the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
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 components and steps have been described above generally in terms of their functionality in order to clearly illustrate this 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 implementation. 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 (11)
1. A systematic disaster recovery drilling plan generation method is characterized by comprising 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;
generating a request based on the disaster recovery drilling plan, acquiring a standard time characteristic vector and acquiring a system time characteristic vector of each application system;
calculating the standard time characteristic vector and the system time characteristic vector of each application system respectively to obtain a drilling risk degree vector of each application system;
and for each application system, acquiring a comprehensive score corresponding to the application system in a preset configuration management library, and generating a disaster recovery drilling plan of the application system based on the comprehensive score and the drilling risk degree vector.
2. The method according to claim 1, wherein the obtaining a standard temporal feature vector based on the disaster recovery drilling plan generation request comprises:
determining a drilling time period corresponding to the disaster backup drilling plan generation request, and determining overall plan information corresponding to the drilling time period;
dividing the drilling time period into a plurality of time windows, and distributing a uniform standard numerical value for each time window;
for each time window, determining a plan attribute of the time window in the overall plan information based on the window characteristics of the time window, determining a plan risk value of the time window based on the plan attribute, and calculating the plan risk value of the time window and a standard value to obtain the time risk value of the time window;
and assembling the time risk value of each time window into a first feature vector, and determining the first feature vector as a standard time feature vector.
3. The method of claim 2, wherein the obtaining the system time feature vector of each of the application systems comprises:
for each application system, determining system plan information of the application system;
determining a system time attribute for each of the time windows in the system planning information based on the window characteristics for each of the time windows;
determining a system risk value for each of the time windows based on the system time attribute for each of the time windows;
and generating a second feature vector containing the system risk value of each time window, and taking the second feature vector as the system time feature vector of the application system.
4. The method according to claim 3, wherein the calculating the standard time eigenvector with the system time eigenvector of each of the application systems to obtain the exercise risk degree vector of each of the application systems comprises:
for each application system, calculating each system risk value in the system time characteristic vector of the application system and each time risk value in the standard time characteristic vector to obtain a drilling risk value of the application system during drilling in each time window;
and generating a third feature vector containing each drilling risk value, and determining the third feature vector as a drilling risk degree vector of the application system.
5. The method of claim 4, wherein generating the disaster recovery drilling plan for the application system based on the composite score and the drilling risk degree vector comprises:
arranging and combining the comprehensive scores and the drilling risk values in the drilling risk degree vector to obtain the drilling type of the application system for drilling in each time window;
and selecting a target time window for the application system to drill in 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.
6. The method according to any one of claims 1 to 5, further comprising:
combining the disaster recovery drilling plans of each application system to obtain an overall disaster recovery drilling plan;
and storing the overall disaster recovery drilling plan to a preset plan database, and performing disaster recovery drilling on each application system based on the overall disaster recovery drilling plan.
7. A systematic disaster recovery drilling plan generating device is characterized by comprising
The system comprises a determining unit, a judging unit and a processing unit, wherein the determining unit is used for determining each application system corresponding to a disaster backup drilling plan generating request when the disaster backup drilling plan generating request sent by a user is received;
the obtaining unit is used for generating a request based on the disaster recovery drilling plan, obtaining a standard time characteristic vector and obtaining a system time characteristic vector of each application system;
the calculation unit is used for calculating the standard time characteristic vector and the system time characteristic 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 a comprehensive score corresponding to each application system in a preset configuration management library and generating a disaster recovery drilling plan of the application system based on the comprehensive score and the drilling risk degree vector.
8. The apparatus of claim 7, wherein the obtaining unit comprises:
a first determining subunit, configured to determine a drilling time period corresponding to the disaster-preparation drilling plan generating request, and determine overall plan information corresponding to the drilling time period;
the distribution subunit is used for dividing the drilling time period into a plurality of time windows and distributing a uniform standard numerical value 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 the 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 and a standard value to obtain a time risk value of the time window;
and the third determining 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.
9. The apparatus of claim 8, wherein the obtaining unit comprises:
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 planning information, a system time attribute of each of the time windows based on the window characteristics of each of the time windows;
a sixth determining subunit, configured to determine a system risk value for each of the time windows based on the system time attribute of each of the time windows;
and the first generating subunit is used for generating a second feature vector containing the system risk value of each time window, and taking the second feature vector as the system time feature vector of the application system.
10. The apparatus of claim 9, wherein the computing unit comprises:
the operation subunit is configured to, for each application system, perform operation on 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 a drilling risk value of the application system during drilling in each time window;
and the second generating subunit is used for generating a third feature vector containing each drilling risk value, and determining the third feature vector as the drilling risk degree vector of the application system.
11. The apparatus of claim 10, wherein the generating unit comprises:
the combination subunit is configured to arrange and combine the comprehensive score and each drilling risk value in the drilling risk degree vector to obtain a drilling type of the application system performing drilling in each time window;
and the selecting subunit is configured to select, based on the drilling type of each time window, a target time window for drilling by the application system from the time windows, and generate a disaster recovery drilling plan of the application system based on the target time window.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110022879A1 (en) * | 2009-07-24 | 2011-01-27 | International Business Machines Corporation | Automated disaster recovery planning |
| CN106209422A (en) * | 2016-06-28 | 2016-12-07 | 中国银联股份有限公司 | Reduce the method and apparatus of Disaster Preparation Center's system switching unavailable time |
| US20170364415A1 (en) * | 2016-06-21 | 2017-12-21 | International Business Machines Corporation | Optimizing data backup schedules |
| US20180018108A1 (en) * | 2016-07-13 | 2018-01-18 | Dell Products, L.P. | Evaluation of Risk of Data Loss and Backup Procedures |
| US20180189147A1 (en) * | 2017-01-04 | 2018-07-05 | International Business Machines Corporation | Risk measurement driven data protection strategy |
-
2020
- 2020-12-02 CN CN202011405466.1A patent/CN112527481B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110022879A1 (en) * | 2009-07-24 | 2011-01-27 | International Business Machines Corporation | Automated disaster recovery planning |
| US20170364415A1 (en) * | 2016-06-21 | 2017-12-21 | International Business Machines Corporation | Optimizing data backup schedules |
| CN106209422A (en) * | 2016-06-28 | 2016-12-07 | 中国银联股份有限公司 | Reduce the method and apparatus of Disaster Preparation Center's system switching unavailable time |
| US20180018108A1 (en) * | 2016-07-13 | 2018-01-18 | Dell Products, L.P. | Evaluation of Risk of Data Loss and Backup Procedures |
| US20180189147A1 (en) * | 2017-01-04 | 2018-07-05 | International Business Machines Corporation | Risk measurement driven data protection strategy |
| US20180189146A1 (en) * | 2017-01-04 | 2018-07-05 | International Business Machines Corporation | Risk measurement driven data protection strategy |
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