JP2011145848A - Information processor, information processing method, and program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To simulate each resource to be used for business as well as each recovery process along with temporal progression of the business. <P>SOLUTION: State transition data 14 indicates a process of state transition from occurrence of failure to recovery of each resource used for business, and defines a transition condition of the state transition of a resting-on definition resource in which resting-on resource is defined by relating it to the state of the resting-on resource. Using this state transition data, a state information simulation calculating part 10 calculates a state transition that accompanies temporal passage from occurrence of failure to recovery of each resource by determining the presence of state transition, based on the state of the relaying-on resource about the relaying-on definition resource. Thus, the recovery state of business and resources accompanying temporal passage is simulated in a manner close to the recovery process in case a failure actually occurs. <P>COPYRIGHT: (C)2011,JPO&INPIT

Description

  The present invention relates to a technique for simulating a restoration process and a degeneration process of a business affected by, for example, disasters, accidents, epidemics of infectious diseases, and the like.

For example, in the Business Continuity Plan (BCP), in order to formulate a BCP, the target important business is executed in what process, and what elements, that is, management elements (people, equipment, etc.) ) And external factors (partners, social infrastructure, etc.), and what damage will be affected by each factor in the event of a disaster or accident, and how this will affect important business operations Need to be analyzed.
Next, based on the analysis results, a continuation plan for the bottleneck element is formulated, and the procedure for verifying whether the plan can be implemented successfully is taken.
2. Description of the Related Art Conventionally, an apparatus that associates a business process and a resource used in the business process and calculates the business process and the business recovery time from the resource recovery time has been devised, as shown in Patent Document 1.

JP 2008-146206 A

  The conventional method of setting the recovery time in the resource and calculating the recovery time of the business process and the business has the following problems.

(1) In Patent Document 1, since a disaster such as an earthquake is assumed, only the state transition from the steady state to the recovery state is not considered, and the component on which the business process depends with the passage of time such as new influenza It is difficult to grasp the change in the status of business processes and components along the time axis, including cases where the system cannot be used.
(2) BCP is not a single type, and there are various options corresponding to various cases. Therefore, in actual correspondence, BCP is executed by combining various options. Such option recombination is not considered, and it is difficult to analyze the business level and cost for BCP formulation.

One of the main objects of the present invention is to solve the above-mentioned problems, and it simulates the state change from the occurrence of a failure to the recovery for each of various resources used for the execution of the business. The main purpose is to derive the recovery process of each resource and business.
Another object of the present invention is to simulate the state change in the degeneration process at the time of failure occurrence for each resource and derive the degeneration process of each resource and business.

An information processing apparatus according to the present invention includes:
A dependency data storage unit that stores a plurality of resources having a dependency relationship with other resources, and stores dependency relationship data that defines a dependency relationship between the plurality of resources;
For each resource, the process of state transition from the occurrence of a failure that is assumed when a failure occurs is shown for each resource, and the subsequent state transition is performed for the dependency definition resource for which the dependency destination resource is defined in the dependency relationship data. The transition condition of the specific state transition is defined in association with the state of the dependent resource for a specific state transition, and the transition timing of each state transition subsequent to the specific state transition is determined from the transition time of the specific state transition. A state transition data storage unit for storing state transition data defined as a time difference between
The state transition process indicated in the state transition data is simulated for each resource from the failure occurrence time, and the transition condition of the specific state transition is satisfied for the dependency destination definition resource based on the state of the dependency destination resource. The transition time of the specific state transition is derived based on the time difference from the failure occurrence time when the transition condition of the specific state transition is satisfied, and the derived specific state A simulation operation unit for deriving a transition time of each state transition subsequent to the specific state transition based on a transition time of the transition and a transition timing of each state transition defined in the state transition data .

  According to the present invention, the dependency destination definition is performed using state transition data that defines the state transition process from the occurrence of a failure for each resource and defines the state transition state of the dependency destination definition resource in association with the state of the dependency destination resource. For resources, the state transition from the occurrence of a failure is calculated for each resource while determining the presence or absence of the state transition based on the state of the dependent resource, so it is similar to the recovery process or degeneration process when an actual failure occurs. It is possible to simulate the recovery status or degeneracy status of each resource and business over time.

FIG. 3 is a diagram illustrating an example of a system configuration according to the first embodiment. FIG. 3 shows a configuration example of a BCP simulator apparatus according to the first embodiment. FIG. 3 is a flowchart showing an operation example of the BCP simulator apparatus according to the first embodiment. FIG. 3 is a flowchart showing an operation example of the BCP simulator apparatus according to the first embodiment. FIG. 3 is a flowchart showing an operation example of the BCP simulator apparatus according to the first embodiment. FIG. 3 is a flowchart showing an operation example of the BCP simulator apparatus according to the first embodiment. FIG. 4 is a diagram illustrating an example of a business flow according to the first embodiment. The figure which shows the dependence relationship between the elements in the work which concerns on Embodiment 1. FIG. FIG. 4 is a diagram illustrating an example of process data according to the first embodiment. FIG. 4 is a diagram illustrating an example of component data according to the first embodiment. FIG. 4 is a diagram illustrating an example of dependency relationship data according to the first embodiment. FIG. 4 shows an example of scenario data according to the first embodiment. FIG. 4 shows an example of state transition data according to the first embodiment. FIG. 5 shows an example of state information simulation data according to the first embodiment. FIG. 4 is a diagram illustrating an example of transition states of components according to the first embodiment. FIG. 4 is a diagram illustrating an example of a table representing a state calculation according to the first embodiment. FIG. 6 shows an example of state transition display according to the first embodiment. FIG. 6 shows an example of state transition display according to the first embodiment. FIG. 3 shows a configuration example of a BCP simulator apparatus according to the first embodiment. The figure which shows the dependence relationship between the elements in the work which concerns on Embodiment 2. FIG. FIG. 6 is a flowchart showing an operation example of the BCP simulator apparatus according to the second embodiment. FIG. 6 is a flowchart showing an operation example of the BCP simulator apparatus according to the second embodiment. FIG. 6 is a flowchart showing an operation example of the BCP simulator apparatus according to the second embodiment. FIG. 10 shows an example of alternative option data according to the second embodiment. FIG. 10 is a diagram showing an example of option / set data according to the second embodiment. FIG. 10 shows an example of operation level data according to the third embodiment. FIG. 10 is a diagram illustrating an example of state information simulation data according to the third embodiment. FIG. 10 is a flowchart showing an operation example of the BCP simulator apparatus according to the third embodiment. FIG. 10 shows an example of state transition display according to the third embodiment. FIG. 10 shows an example of alternative option data according to the fourth embodiment. FIG. 10 shows an example of state transition data according to the fourth embodiment. FIG. 10 is a flowchart showing an operation example of the BCP simulator apparatus according to the fourth embodiment. FIG. 10 is a flowchart showing an operation example of the BCP simulator apparatus according to the fourth embodiment. . The figure which shows the example of the cost display which concerns on Embodiment 4. FIG. FIG. 4 is a diagram showing a simulation example in the process simulator apparatus according to the first embodiment. FIG. 6 shows a configuration example of a BCP simulator apparatus according to a third embodiment. FIG. 10 is a diagram illustrating a configuration example of a BCP simulator apparatus according to a fourth embodiment. FIG. 4 is a flowchart showing an outline of the operation of the BCP simulator apparatus according to the first embodiment. The figure explaining the processing procedure in the simulation calculation and state transition calculation function of the state transition which concerns on Embodiment 1. FIG. The figure which shows the example of the time data after the sorting which concerns on Embodiment 1. FIG. FIG. 5 shows an example of state information simulation data (initial state) according to the first embodiment. The figure which shows the hardware structural example of the BCP simulator apparatus which concerns on Embodiment 1-4.

In the first to fourth embodiments shown below, a component has a plurality of transition states instead of a recovery time, and the state transition time, operation level transition, cost (introduction, maintenance, State transition) can be held, and the state according to elapsed time for various risks is calculated.
In the first to fourth embodiments, a BCP can be designated as a plurality of optional business processes, recovery processes for elements, alternative processes, and arbitrary combinations of alternative elements, and each BCP can be compared for various risks. Enable analysis.
In the following first to fourth embodiments, the recovery process at the time of occurrence of a failure will be mainly described. However, the contents of the first to fourth embodiments are the degeneration process at the time of failure (step-by-step functions of business and system). (Reduction) is also applicable. In other words, by replacing the word “recovery” shown in the first to fourth embodiments with “degenerate”, the methods shown in the first to fourth embodiments are used for simulation of state transitions in the degeneration process when a failure occurs. Can do.

Embodiment 1 FIG.
FIG. 1 shows a system configuration example according to the present embodiment.

  The system according to the present embodiment includes a PC (Personal Computer) 1, a BCP simulator device 2, a process simulator device 19, and a computer network 3.

In FIG. 1, the PC 1 provides man-machine interface means such as an input device 17 and a display device 18.
The BCP simulator device 2 performs a simulation of a restoration process and a degeneration process for each resource used for business execution. The BCP simulator device 2 is an example of an information processing device.
The computer network 3 is a network that connects the BCP simulator device 2, the PC 1, and the process simulator device 19.
The process simulator device 19 performs a predetermined simulation based on the control of the BCP simulator device 2.

FIG. 2 shows an internal configuration example of the BCP simulator apparatus 2.
The BCP simulator device 2 is roughly divided into a control unit 4 and a storage unit 5.
The control unit 4 performs various controls for executing a restoration process simulation (or a degeneration process simulation).
The storage unit 5 stores data used for restoration process simulation (or degeneration process simulation).

  First, each element of the control unit 4 will be described.

  The process input editing unit 6 is a means for inputting and editing processes and process flow information.

The component input editing unit 7 is means for inputting and editing component information constituting the process.
In addition, a component means the resource used in order to implement | achieve work.
Although details will be described later, the resources include human resources such as a person in charge, service resources such as information system services, apparatus resources such as PCs, building resources such as buildings, and infrastructure resources such as transportation facilities.
Hereinafter, the term “component” and the term “resource” are used interchangeably.

  The dependency relationship input editing unit 8 is means for inputting and editing dependency relationship information between components and between processes and components.

  The state transition data input editing unit 9 is means for inputting and editing a set of state transition information in the elapsed time of the component as a scenario.

The state information simulation calculation unit 10 is a means for calculating the state transition information of the upper component and process based on the component data and the dependency relationship data from the state transition data associated with an arbitrary scenario.
In other words, the state information simulation calculation unit 10 simulates the state transition from the failure occurrence time to recovery (or the state transition in the degeneration process at the time of failure occurrence) for each resource in the state transition process indicated in the state transition data described later. Then, the transition time of each state transition is derived.
The state information simulation calculation unit 10 is an example of a simulation calculation unit.

  The process simulation control unit 26 restricts the operation content of the process simulated by the existing process simulator device 19.

  The graphic information generation unit 30 includes a state transition process (or a state transition in a degeneration process at the time of failure) of each resource simulated by the state information simulation calculation unit 10 and a transition time of each state transition. To generate graphic information that graphically represents.

  Next, each data stored in the storage unit 5 will be described.

The process data 11 is data indicating each business process included in the business flow input and edited by the process input editing unit 6 and the throughput in each business process.
The process data 11 is data shown in FIG. 9, for example.
The process data 11 in FIG. 9 is generated based on the process flow information shown in FIG.
The process flow information in FIG. 7 shows a business flow that starts from a draft, information collection (1) and information collection (2) are performed in parallel, and payment is finally performed.
In the process data 11 of FIG. 9, the throughput per worker and the number of workers are shown for each business process included in the business flow.
The process data 11 is input and edited by the operator using the process input editing unit 6.

The constituent element data 12 is data that holds constituent element information input and edited by the constituent element input editing unit 7.
The component data 12 is, for example, data shown in FIG. 10, and resources necessary for executing the business flow shown in FIG. 7 are shown as components.
In the example of FIG. 10, the name of each resource, the classification of each resource, and the presence or absence of dependence are shown.
The presence / absence of dependency indicates whether the resource is dependent on other resources.
Dependency is that one resource depends on another resource. In other words, in order for a certain resource to operate normally, it is necessary that the other resource is operating normally. If a failure or abnormality occurs in another resource, or if the operation stops, the resource Is a relationship that prevents normal operation.

The dependency relationship data 13 is data that holds the process and the component input and edited by the dependency relationship input editing unit 8 and the dependency relationship between the components.
The dependency relationship data 13 is data that indicates a plurality of resources having a dependency relationship with other resources and defines a dependency relationship between the plurality of resources. For example, the dependency relationship data 13 is data illustrated in FIG. 11.
In the dependency relationship data 13, a resource whose “dependence presence / absence” column of the component data 12 (FIG. 10) is “present” is described in the “dependence source” column, The resources on which the “source” resource depends are shown.
For example, the resource of information collection (1) depends on the resource of person in charge (1).
The dependency relationship data 13 in FIG. 11 is defined according to the dependency relationship between resources shown in FIG. 8, for example.
FIG. 8 shows the dependency relationship between resources for realizing the business flow of FIG.
In FIG. 8, the node at the start point (arrow base) of the arrow represents the dependency source resource, and the node at the end point (arrow destination) of the arrow represents the dependency destination resource.
For convenience of drawing, FIG. 8 shows the relationship between resources for information collection (1) and settlement only in the business process of FIG.
Also, the dependency relationship data 13 in FIG. 11 also shows only a part of the dependency relationships in FIG.

The scenario data 15 is data that associates and holds a set of state transition information at the elapsed time of each component input by the state transition data input editing unit 9 as a scenario.
The scenario data 15 is, for example, data shown in FIG. 12, and a plurality of types of failure scenarios that affect work are provided.

The state transition data 14 is data that holds state transition information at the elapsed time of each component input and edited by the state transition data input editing unit 9.
The state transition data 14 indicates, for each resource, a state transition from a failure occurrence to a recovery (or a state transition of a degeneration process at the time of the failure) assumed when a failure occurs.
In addition, the state transition data 14 has a subsequent state transition with respect to the dependency destination definition resource (the resource described in “dependency source” in FIG. 11) in which the dependency destination resource is defined in the dependency relationship data 13. The transition condition of the specific state transition is defined in association with the state of the dependency resource for the specific state transition that is being performed, and the transition timing of each state transition subsequent to the specific state transition is determined from the transition time of the specific state transition. It is defined as the time difference.
The state transition data 14 is data shown in FIG. 13, for example.
In FIG. 13, the scenario ID corresponds to the scenario ID of the scenario data 15, the name indicates the name of each resource, and the transition time indicates the time at which the state transitions by the time difference from the failure occurrence time.
The transition state indicates a transition destination state in the state transition at the transition time.
The condition is a condition (transition condition) for a state transition to occur.

In FIG. 13, “1” is shown as the scenario ID. Therefore, state transition in the recovery process of each resource when “earthquake directly under the capital (1)” in the scenario data 15 of FIG. 12 occurs is shown. ing.
For example, in the office PC (2), a state transition of Unavailable → Restricted → Available is performed when the “Tokyo Metropolitan Earthquake (1)” occurs.
The failure occurrence time (transition time: 0) is Unavailable.
When the state of all the dependent resources of the office PC (2) becomes “Available”, the transition condition is satisfied, and the state of the office PC (2) becomes “Restricted”.
For example, in the example of FIG. 8, when both the site A district power and the site A office become available, the state of the office PC (2) becomes restricted.
The time when the state of the office PC (2) becomes “Restricted” depends on the state of the dependent resource and is uncertain, so the transition time is conditional (time X).
When the state of all dependent resources of the office PC (2) becomes “Available” in the simulation, the time (simulation time) is specified as a specific value of time X.
The office PC (2) becomes available after 48 hours have elapsed from the time X.
The state transition data 14 targets all resources used for business.
In the example of FIG. 13, the transition time after transition time: 0 is conditional (time X) for all the displayed resources, but the state transition data 14 includes transition time: 0. A resource whose next transition time is a specific value (for example, 24 hours later) is also included.
For example, the base A district power, the base A district traffic, and the base A building, which are the lower end resources in FIG. 8, have no dependency destination resources, and the next transition time after transition time: 0 is a specific value.

Further, the state transition of each resource in the state transition data 14 follows any one of the state transition patterns shown in FIG.
Further, the state of each resource is determined according to the combination of states shown in FIG.
For example, if there are two dependent resources, one dependent resource is currently available, and the other dependent resource is currently recovering, a combination of column or row direction available and row or column direction recovering Thus, it is determined that the entire dependency destination resource is “Recovering”.
Also, for example, if there are three dependency resources, the first and second dependency resources are currently available, and the three dependency resources are currently recovering, the first and second dependency destinations A combination of resources is determined to be “Available” by a combination of “Available” in the column direction or the row direction and “Available” in the row direction or the column direction.
In addition, the entire dependent resources (the first and second combinations and the third dependent resource) are recovered by a combination of “Available” in the column direction or row direction and “Recovering” in the row direction or column direction. It is judged.
The procedure is the same for four or more cases.

The state information simulation data 16 is data that holds the result of the state information simulation operation unit 10 calculating the state information at the elapsed time of the upper process and the component based on the dependency relationship from the state transition information associated with the scenario. .
That is, in the state transition data 14 of FIG. 13, for example, the transition time defined as conditional (time X) or X + 48 hours for the office PC (2) is 48 hours or so by simulation by the state information simulation calculation unit 10. The state information simulation data 16 is obtained by deriving a specific value such as 96 hours and adding the derived specific value.
The state information simulation data 16 is, for example, data shown in FIG.
The state information simulation data 16 is an example of state transition simulation information.

  The storage unit 5 is an example of a dependency relationship data storage unit and a state transition data storage unit.

Next, the operation will be described.
Here, before explaining the details of the operation, an outline of the operation will be described with reference to the flowchart of FIG.
It is assumed that the process data 11, the component data 12, the dependency relationship data 13, the state transition data 14, and the scenario data 15 are stored in the storage unit 5 before the flow of FIG.

First, the state transition data input editing unit 9 receives a simulation scenario selection from the operator (S3801).
That is, the state information simulation calculation unit 10 accepts, for example, a scenario of “earthquake directly under the capital (1)” from the operator among the failures shown in the scenario data 15 of FIG.

Next, the state information simulation calculation unit 10 reads the state transition data 14 corresponding to the scenario selected in S3802 (the same scenario ID is set) from the storage unit 5 (S3802) (state transition data read step) ).
For example, in S3802, if the operator selects a scenario “earthquake directly under the capital (1)”, the record group in which “1” is described in the scenario ID column in the state transition data 14 is read. .

  Further, the state information simulation calculation unit 10 reads the dependency relationship data 13 from the storage unit 5 (S3803) (dependency relationship data reading step).

Next, the state information simulation calculation unit 10 repeats the state determination of each resource and the derivation of the transition time while simulating the state transition of the state transition data 14, and the state information illustrated in FIG. The state of each resource is recorded (S3804) (simulation calculation step).
More specifically, the state information simulation calculation unit 10 sorts the transition time values of the state transition data 14 in ascending order, and determines whether or not the transition condition is satisfied for each resource for each time after sorting. Determine the state of each resource.
Assume that when the transition time values of the state transition data 14 are sorted, for example, the sorting result shown in FIG. 40 is obtained.
In this case, some initial state transition occurs in any resource 15 hours after the occurrence of the failure. As described above, since the state transition time is specified by a constant in the resource at the lower end of FIG. 8 and other resources, a sort result as shown in FIG. 40 can be obtained.
Specific values such as 15 hours, 19 hours, and 25 hours, in other words, state transition times at which state transitions occur regardless of the state of other resources are referred to as independent state transition times.
On the other hand, the specific value of the time X derived based on the determination of the state of each resource by the state information simulation computation unit 10, in other words, the state transition derived by the state information simulation computation unit 10 for the dependency destination definition resource The time is called the derived state transition time.
The state information simulation calculation unit 10 performs the following processing for each independent state transition time shown in FIG. 40, and when the derived state transition time is derived for any dependency destination definition resource (time X When the derivation state transition time is specified), the derivation state transition time is recorded in the state information simulation data 16, and the derivation state transition time is added to the sort result of FIG. 40, and the derivation state transition time is also shown below. Process.

First, the state information simulation calculation unit 10 traces the dependency destination resource in order from the upper end resource (for example, information collection (1) in FIG. 8, settlement) in FIG. 8, which is a dependency destination definition resource that is not dependent on any resource. A bottom resource (for example, base A district power, base A district traffic, base A building in FIG. 8) that does not have a destination resource is extracted.
Then, the state information simulation calculation unit 10 determines the state of the extracted lower end resource, and based on the state of the lower end resource, the transition condition (transition time: conditional (time It is determined whether or not the transition condition of the record in which X) is described is satisfied, and the state of the dependency destination definition resource is determined.
Then, when the transition condition is satisfied, the transition time of the state transition is derived, and a record in which each state transition subsequent to the state transition is described (transition time: record in which X + 48 hours or the like is described) ) Is derived, and the derived transition time is recorded in the state information simulation data 16.
Thereafter, the state information simulation calculation unit 10 repeats the operation of determining whether the transition condition is satisfied for each dependency destination definition resource by tracing the dependency destination definition resource in order from the lower end resource to the upper end resource, The state of each dependency destination definition resource is determined, and the transition time of the state transition is derived.

For example, when determining the state of each resource starting from information collection (1), which is one of the top resources in FIG. 8, the order shown in FIG. 39 (the order of steps (1) to (4) in the figure). ) For each resource.
Note that FIG. 39 shows only lower-level resources from the person in charge (1) for convenience of drawing, and illustration of lower-level resources from the information system (1) service is omitted.

The state information simulation calculation unit 10 searches for a lower resource (dependency resource) of information collection (1), and extracts a person in charge (1), which is a lower resource.
In addition, the state information simulation calculation unit 10 searches for resources below the person in charge (1), and extracts the base A district traffic that is the lower resources.
Furthermore, the state information simulation calculation unit 10 searches for a lower resource of the base A district traffic, but since there is no lower resource (dependency resource) in the base A district traffic, the base A district traffic is set as a lower end resource. The state of the base A district traffic is determined (step (1)).

Next, the state information simulation calculation unit 10 determines whether the person in charge (1), which is the upper resource of the base A district traffic, which is the lower end resource, has another lower resource.
In this case, since there is a base A office, the state information simulation calculation unit 10 searches for resources under the base A office.
In this case, the base A building exists as a lower resource.
The state information simulation calculation unit 10 searches for resources under the base A building. However, since the base A building does not have a subordinate resource (dependent resource), the base A building is set as the lower end resource, and the state of the base A building is determined. Is determined (step (2)).

Next, the state information simulation calculation unit 10 confirms that there is no other lower resource in the base A office that uses the base A building as a dependency resource, and determines the state of the base A office (step (3)). ).
For example, for the base A office, a transition condition is set that “when all of the dependent resources become available, the state changes from Unavailable to Restricted”, and the base A building becomes available 48 hours after the failure occurs. Assuming that the site A building becomes Restricted 48 hours after the failure occurs, 48 hours later is recorded in the state information as a specific value of “time X” of the state transition data 14.

Next, the state information simulation calculation unit 10 confirms that there is no other lower-level resource in the person in charge (1) who uses the base A district traffic and the base A office as the dependent resource, and the state of the person in charge (1) Is determined based on the state of the base A district traffic and the base A office (step (4)).
Similarly, the state information simulation calculation unit 10 determines the state of each resource in the direction of the upper resource in order from the lower end resource for the lower resource from the information system (1) service to determine the state of the information system (1) service. Judgment.
Finally, the state information simulation calculation unit 10 determines the state of the information collection (1), which is the upper end resource, based on the person in charge (1) and the state of the information system (1) service.

  The state information simulation calculation unit 10 repeats such processing for each independent state transition time and every derived state transition time in FIG.

  In this way, the state information simulation calculation unit 10 repeats the procedure of S3804, and the state of each resource of the state information that was in the state as shown in FIG. 41 in the initial state is updated, and finally shown in FIG. Thus, the state information simulation data 16 is completed (S3805).

Next, the graphic information generation unit 30 generates graphic information and time-specific state information based on the state information simulation data 16 generated in S3805, and outputs it to the display device 18 of the PC 1 (S3806). The simulation result about the recovery process can be confirmed by displaying.
The graphic information is, for example, information illustrated in FIG. 17 and is information that graphically represents a state transition process from a failure occurrence to a recovery of a business and each resource and a transition time of each state transition.
Further, the state information by time is, for example, information shown in FIG. 18 and is information that represents the state of the business and each resource by time. In the example of FIG. 18, the state of work and each resource after 72 hours from the occurrence of a failure is shown.

Next, an example of the operation of the BCP simulator apparatus 2 according to the present embodiment will be described in detail using the flowcharts of FIGS. 3, 4, 5, and 6.
3 shows the overall operation flow, FIG. 4 shows the operation flow in the simulation of the state calculation of the state information simulation calculation unit 10, and FIG. 5 shows the state information simulation calculation unit 10 executing the state transition calculation function. FIG. 6 mainly shows an operation flow of the graphic information generation unit 30.

In FIG. 3, first, the process input editing unit 6 inputs a process and process flow as shown in FIG. 7 from the operator and performs predetermined editing, and the storage unit 5 stores the process data 11 as shown in FIG. S1).
Further, the component input editing unit 7 inputs the component element information from the operator, performs predetermined editing, and the storage unit 5 stores the component element data 12 as shown in FIG. 10 (S2).
Further, the dependency input editing unit 8 inputs dependency relationship information between components as shown in FIG. 8 and between processes and components as shown in FIG. 8 and performs predetermined editing. Such dependency data is stored (S3).
Further, the state transition data input editing unit accepts selection of any scenario from scenario data as shown in FIG. 12 from the operator (S4).
Further, the state transition data input editing unit 9 inputs the state transition information of the component corresponding to the selected scenario, performs predetermined editing, and saves the state transition data as shown in FIG. 13 (S5).

Next, the state information simulation computation unit 10 performs state transition simulation computation to generate state transition information based on the elapsed time of each process, and stores it as state information simulation data 16 as shown in FIG. 14 (S6).
At this time, the state information simulation computation unit 10 executes a state transition simulation computation.
Details of the execution procedure of the state transition simulation calculation will be described later with reference to FIG.

When the state information simulation data 16 is generated by executing the state transition simulation calculation, the process simulation control unit 26 controls the process simulator device 19 (S7).
After that, another scenario is simulated as necessary (S8).

  Next, details of the state transition simulation calculation will be described with reference to FIG.

In the state transition simulation calculation, first, the state information simulation calculation unit 10 extracts one record from the state transition data 14 (S9), and temporarily stores the transition time data in the record (S10).
At this time, if the time is already stored, it is ignored.
The state information simulation calculation unit 10 repeats this for the record corresponding to the designated scenario (scenario selected in S4) (S11).
Next, the temporarily stored transition time data is sorted in ascending order (S12). The sorted transition time data is, for example, as shown in FIG.
The state information simulation calculation unit 10 extracts one transition time data from the head of the transition time data after sorting (S13), and extracts one element from the process data 11 (draft, information collection (1), information collection in FIG. 9). (2) Take out one of the settlements) (S14).
Further, the state information simulation calculation unit 10 extracts one record of the dependency element (dependency resource) of the extracted process data element from the dependency relationship data 13 (S15), and calls the state transition calculation function for the dependency element. Then, the state of the dependent element at the time is obtained (S16).
The execution procedure of the state transition calculation function will be described later with reference to FIG.

The state information simulation calculation unit 10 repeats the processes of S15 to S16 as long as there are dependent elements (S17). When the state information of the dependent elements is acquired, the state information simulation is performed and stored in the state information simulation data 16 (S18). ).
The state information simulation calculation unit 10 repeats the processes of S14 to S18 as long as there is process data (S19), and repeats the processes of S13 to S19 as long as there is transition time data (S20).

  Next, the execution procedure of the state transition calculation function will be described with reference to FIG.

In the state transition calculation function, the state information simulation calculation unit 10 checks whether the specified element has a dependency destination (S21), and if there is no dependency destination, the state at the specified time (state transition time taken out in S9) is obtained. It is stored in the state information simulation data 16 (S22), and if there is a dependency destination, one record of the dependency element is extracted from the dependency relationship data 13 (S23), and a state transition operation function is called for that element (S24).
The state information simulation calculation unit 10 repeats S23 to S24 as long as there are dependent elements (S25).
Next, the state information simulation calculation unit 10 checks whether there is a condition that satisfies the condition among the state transition conditions of its own element (currently targeted element) (S26). The time when the transition occurs based on this condition is added to the transition time data (S27), and the state of the own element is stored (S28).
In addition, the state information simulation calculation unit 10 performs a state calculation from the state of the dependency destination element and the self element, and stores the derived state in the state information simulation data 16 (S29).

  Next, a procedure for generating graphic information (FIG. 17) or time-specific state information (FIG. 18) will be described with reference to FIG.

When displaying based on the generated state information simulation data 16, the graphic information generating unit 30 accepts a scenario selection from the operator when generated from a plurality of scenarios (S30).
Further, the graphic information generation unit 30 accepts selection of the whole or individual (process, component) as a display target part (S31), and accepts selection of whether or not to perform step by step as a display method ( S32).
If not step-by-step, the graphic information generation unit 30 generates graphic information (FIG. 17) for displaying a state transition display on the time axis of the display target part (S33).
In the case of step-by-step, the graphic information generating unit 30 accepts designation of the time to be displayed from the operator (S34), and the state of the display target part at the designated time is displayed in different colors for each element. Another state information (FIG. 18) is generated (S35), and the time designation is changed and repeated as necessary (S36).
Further, the graphic information generating unit 30 accepts selection of another part as necessary (S37), and accepts selection of another scenario as necessary (S38).

Next, the process simulator control (S7) of FIG. 3 will be described.
The business as shown in FIG. 7 will be described using an example in which parameters for simulation as shown in FIG. 9 are set.
Consider the case of performing a simulation of the number of processes with respect to the elapsed time as shown in FIG. 35A (simulation in which the number of processes increases in proportion to the elapsed time).
A disaster occurrence time, that is, a reference time point of state transition data (transition time = 0) is set, and control is performed so as to limit the process value according to the status of each business process, as shown in FIG. Control to simulate the number of cases when a disaster occurs at an arbitrary time.
In other words, the results shown in Fig. 35 (a) can be obtained in normal times, but when a disaster occurs, operations are not performed from the occurrence of the disaster to the recovery, so the number of processes remains the same until the recovery. The process simulation control unit 26 controls the process simulator device 19 so that the number of cases increases (FIG. 35B).

  As described above, according to the present embodiment, it becomes possible to check the state transition of the resources constituting the business process by the elapsed time, and it becomes easy to determine which resource is the bottleneck.

In addition, the state transition process from failure occurrence to recovery is indicated for each resource, and the state transition data that defines the state transition state of the dependency destination definition resource in association with the state of the dependency destination resource is used. Calculates the state transition from failure occurrence to recovery for each resource while judging whether there is a state transition based on the state of the dependent resource, so that the time elapses in a manner close to the recovery process when a failure actually occurs It is possible to simulate the recovery status of each resource and business involved.
Similarly, the state transition process in the degeneration process at the time of failure occurrence is shown for each resource, and the state transition data that defines the state transition state of the dependency destination definition resource in association with the state of the dependency destination resource is used. For the pre-defined resource, the state transition in the degeneration process at the time of failure occurrence is calculated for each resource while judging the presence / absence of state transition based on the state of the dependent resource, so it is close to the degeneration process at the time of actual failure In the form, it is possible to simulate the degeneracy situation of each resource and business with time.

  In addition, since the operation / stop of the process in the elapsed time can be set, the process simulation corresponding to the accident can be easily performed by restricting the operation of the process when performing the existing process simulation.

As described above, in the present embodiment, the process analysis simulator including the following means and elements and enabling analysis of the vulnerability of the resources constituting the process has been described.
(A) Process input editing means for inputting / editing process information and process flow information, and means for holding input / edited process data;
(B) Component input editing means for inputting / editing component information constituting a process, and means for holding input / edited component data;
(C) Dependency input editing means for inputting / editing dependency information between components and between processes and components, and means for holding input / edited dependency data;
(D) The state transition information in the elapsed time of the constituent element is the state information that is closed to the own element, or the state information that causes the state transition to be triggered by the state transition of the dependent element, and the set of these state transition information is State transition data input / editing means for inputting / editing as a scenario, means for holding state transition data input / edited, and means for holding scenario data;
(E) a simulation calculation means for calculating higher-order component elements, process state transition information based on component element data and dependency relationship data from state transition data associated with an arbitrary scenario, and the calculated simulation data as a scenario Means associated with and holding;
(F) means for displaying status information of an arbitrary process or component at an arbitrary elapsed time based on simulation data;
(G) Means for performing control so as to limit the operation of the process based on the state information at the elapsed time of the process with respect to the simulation of the existing process flow.

Embodiment 2. FIG.
Next, in addition to the contents described in the first embodiment, an embodiment that enables comparative analysis of a plurality of options will be described.

  FIG. 19 shows a configuration example of the BCP simulator apparatus 2 according to the present embodiment.

In FIG. 19, as compared with the configuration in the first embodiment (FIG. 1), an alternative option input editing unit 20 and an option / set input editing unit 22 are added to the control unit 4, and an alternative option is stored in the storage unit 5. Data 25 and option set data 27 are added.
The alternative option input editing unit 20 performs input editing of an alternative option of an arbitrary process or component.
The option set input editing unit 22 inputs and edits any combination of alternative options.
The substitute option data 25 holds a substitute option that has been input and edited.
The option set data 27 holds combinations of alternative options that have been input and edited.
In the present embodiment, the storage unit 5 is also an example of an alternative resource data storage unit.

The substitute option data 25 is, for example, data shown in FIG.
In FIG. 24, the name indicates an alternative resource. The replacement target indicates a resource to be replaced that is replaced by the replacement resource. The replaced resource is a resource shown in the component data 12 of FIG.
The classification and the presence / absence of dependence are the same as those shown in FIG.
FIG. 24 shows the relationship between alternative resources and alternative resources in the system configuration shown in FIG.
20 and 24, “base A (main)” represents the main building of the base A, and “base A (separate)” represents the annex of the base A. In FIG. 20, “base A (main) office” and “base A (main) server room” are changed to “base A (separate) office” and “base A (separate) server room” as a set. However, this is for convenience of drawing, and it is possible to change only from "Base A (main) office" to "Base A (separate) office". It is also possible to change only from “base A (main) server room” to “base A (separate) server room”.
As shown in FIG. 20, the dependency relationship of the alternative resource is different from the dependency relationship of the alternative resource.
For example, the WF system service that is the resource to be replaced uses the office PC (2), the WF system, and the base A LAN as the dependent resource, but the WF system service (alternative) that is the alternative resource uses the WAN and external ASP services. It is a dependency resource.
Therefore, in the present embodiment, alternative resource dependency data (not shown) that defines the dependency relationship of the alternative resource is stored in the storage unit 5. The alternative resource dependency data has the same format as the dependency data 13.
Furthermore, in the present embodiment, switching time data (not shown) indicating the switching time for switching from the substituting resource to the alternative resource is stored in the storage unit 5.
Note that the alternative option data 25, the alternative resource dependency data, and the switching time data correspond to the alternative resource data.

The option set data 27 is, for example, data shown in FIG.
FIG. 25 also assumes the system configuration shown in FIG.
The option set data 27 indicates a plurality of alternative resource sets (option sets) that can be used in combination.
The name indicates the name of the option set, and the target option number corresponds to the option number in FIG.
For example, in option set number 1, 4, 5, and 6 are shown as target option numbers, but this is set to base A (separate) office, base A (separate) server room, base (A) building. It is shown to be used as

Further, in the present embodiment, the state transition process until recovery that is assumed when a failure occurs is also shown in the state transition data 14 for alternative resources.
Further, the state information simulation calculation unit 10 changes the substitute resource indicated in the alternative option data 25 to the alternative resource at the switching time indicated in the switching time data, and is indicated in the state transition data 14 for each resource. Simulate the process of state transition.
More specifically, the state information simulation calculation unit 10 performs a simulation using the resource to be replaced before the switching time arrives, and switches to the alternative resource when the switching time arrives. A simulation is performed with reference to the dependency shown in the dependency data.

Next, details of the operation will be described.
In FIG. 21, FIG. 22, and FIG. 23, processing for alternative resources is added to the contents described in the first embodiment (FIGS. 3 to 5).

  Specifically, the alternative option input editing (S39) as shown in FIG. 24 and the option set input editing (S40) as shown in FIG. 25 are performed in advance, and the option set selection ( S41) is performed, and switching time is set (generation of switching time data) (S42).

In addition, in the state transition simulation calculation (FIG. 22), the state information simulation calculation unit 10 uses the process data (any one of the draft, information collection (1), information collection (2), and settlement in FIG. 9). It is checked whether an alternative is set and the alternative option (alternative resource) is included in the selected option set (S44).
If YES in S44 and the switching time has arrived, the state information simulation calculation unit 10 replaces the process data that is the resource to be replaced with the alternative resource (S45).

Further, in the state transition calculation function (FIG. 23), the state information simulation calculation unit 10 sets an alternative to the called component and sets the alternative option (substitute resource) to the selected option set. It is checked whether it is included (S46).
If YES in S46 and the switching time has arrived, the state information simulation calculation unit 10 replaces the element that is the resource to be replaced with the replacement resource (S47).
Processing other than the above processing is the same as in the first embodiment.

  As described above, according to the present embodiment, it is possible to perform a simulation operation for a plurality of option sets, and the display as shown in FIGS. 17 and 18 is performed for each option set. It becomes possible to compare and examine whether to introduce as BCP.

In the present embodiment, a process analysis simulator that includes the following means and elements and enables multiple options of comparative analysis has been described.
(A) An alternative option input editing means for inputting / editing an arbitrary process or element as another process or an element as an alternative option, and means for holding input / edited alternative option data;
(B) Option / set input editing means for inputting / editing an arbitrary combination of alternative options as an option set, and means for holding input / edited option / set data;
(C) means for specifying an arbitrary option set, performing a simulation operation, and storing the calculated simulation data in association with the option set;
(D) Means for displaying status information of any process or component at an arbitrary elapsed time in a comparable state based on simulation data associated with a plurality of option sets in the same scenario.

Embodiment 3 FIG.
Next, in addition to the contents described in the second embodiment, an embodiment that enables operation level comparative analysis will be described.

  FIG. 36 shows a configuration example of the BCP simulator apparatus 2 according to the present embodiment.

In FIG. 36, as compared with the configuration in the second embodiment (FIG. 19), an operation level input editing unit 23 and an operation level calculation unit 24 are added to the control unit 4, and operation level data 28 is stored in the storage unit 5. Has been added.
The operation level input editing unit 23 inputs and edits the level of operation level when an arbitrary element is set to “Restricted”.
The operation level calculation unit 24 calculates the operation level at the elapsed time of each element during the state transition simulation calculation.
The operation level data 28 holds the operation level as shown in FIG.

Here, the operation level is a performance level.
The state “Restricted” indicates that the resource is in a restricted operation possible state, that is, the performance / function is restricted but the operation is possible.
When the performance / function is limited, it is uniformly “Restricted”, but in reality, the performance level is considered to change over time. Specifically, in the recovery process, it is considered that the performance level increases with the passage of time, and in the degeneration process, the performance level is considered to decrease with the passage of time.
For this reason, the operation level data 28 indicates the relationship between the elapsed time since the transition to “Restricted” and the operation level (performance level) for each resource.
Further, the operation level calculation unit 24 changes the operation level over time after transitioning to “Restricted” based on the operation level data 28 for the resource that has transitioned to “Restricted” in the simulation by the state information simulation calculation unit 10. Calculate.
The operation level calculation unit 24 is an example of a performance level calculation unit, and the storage unit 5 is also an example of a performance level data storage unit.

  Next, the operation will be described with reference to the flowchart of FIG.

  FIG. 28 shows an operation level calculation function executed immediately after the state calculation and storage (S18) in the state transition simulation calculation (FIG. 4).

In FIG. 28, the operation level calculator 24 checks whether the calling process or the element has a dependency (S48). If there is no dependency, the state of the element at the time is “Restricted”. Is checked (S53).
If “Restricted” in S53, the operation level calculator 24 extracts the operation level data at that time corresponding to the element and sets it to the operation level of the element (S54).
On the other hand, if it is not “Restricted” in S53, the operation level calculation unit 24 checks whether the state is “Available” (S55), and if it is “Available”, sets the operation level to 100% (S56). ).
On the other hand, if it is not “Available”, the operation level calculator 24 sets the operation level to 0% (S57).
If there is a dependency in S48, the operation level calculation unit 24 extracts one record of the dependency element (dependency destination resource) from the dependency relationship data 13 (S49), calls this operation level calculation function (S50), and depends on this. Repeat as long as there are elements (S51).
Then, the operation level calculator 24 sets the lowest value among the operation levels of all the dependent elements to the operation level of this element (S52).
The calculated result is stored in the state information simulation data 16 as shown in FIG.
That is, an operation level (OP level) value is added as compared with FIG. 14 shown in the first embodiment.

As described above, according to the present embodiment, the operation level and the process in the elapsed time as shown in FIG. 29 using the concept of the operation level that abstractly represents the operation rate and the throughput due to the function restriction of each element. Can represent the business level of a business process, and in comparing multiple options or option sets, it is possible to compare and consider not only the time until the business process starts operation but also the business level. Become.
In FIG. 29, the current line shows the time transition of the operation level when resource substitution is not performed, and the settlement (substitution) option is when the settlement is switched to settlement (substitution) as shown in FIG. The time transition of the operation level is shown, and the WF system service (alternative) option indicates the time transition of the operation level when the WF system is switched to the WF system service (alternative) as shown in FIG.

In the present embodiment, a process analysis simulator has been described that includes the following means and elements, and enables multiple options of comparative analysis from the operation level.
(A) Operation level input / editing means for inputting / editing operation level information in the elapsed time of the component in association with an arbitrary scenario, and means for holding the input / edited operation level data;
(B) Based on dependency level information of component data from operation level data associated with an arbitrary scenario, operation level calculation means for calculating the operation level of the process, operation level calculation means, and operation level data calculated Means to keep associated with the scenario;
(C) Means for simulating the process flow by defining the operation of the process based on the operation level at the elapsed time of the process.

Embodiment 4 FIG.
Next, a description will be given of an embodiment that enables comparative analysis of costs with and without alternative resources, and further enables comparative analysis of costs between a plurality of options or option sets.

  FIG. 37 shows a configuration example of the BCP simulator apparatus 2 according to the present embodiment.

In FIG. 37, as compared with the configuration in the second embodiment (FIG. 19), an alternative option cost calculation unit 21 is added to the control unit 4.
In FIG. 37, the operation level calculation unit 24 and the operation level data 28 described in the third embodiment are omitted. However, the operation level calculation unit 24 and the operation level data 28 may be included.
The alternative option cost calculation unit 21 calculates the introduction cost, maintenance operation cost, and activation / switching cost of the alternative option according to the selected option set. The alternative option cost calculation unit 21 is an example of an alternative resource cost information generation unit.
In the present embodiment, the alternative option input editing unit 20 has a function of inputting and editing the introduction cost and maintenance operation cost of an arbitrary alternative option.
In the present embodiment, cost information is added to the alternative option data 25 as shown in FIG.
The alternative option data 25 is a part of the alternative resource data as described above.
In the present embodiment, the state transition data input editing unit 9 has a function for inputting and editing a flag indicating whether the transition information is for an alternative option (alternative resource) and activation switching cost information.
Further, in the present embodiment, the state transition data 14 includes a flag indicating whether or not the transition information is an alternative option as shown in FIG. 31 (“O” or “O” indicates an alternative option). Activation switching costs have been added.

  As described above, in the present embodiment, the alternative option data 25 indicates the cost that is generated when the alternative resource is changed to the alternative resource, and the alternative option cost calculation unit 21 is configured so that the state information simulation calculation unit 10 is replaced with the alternative resource. When the simulation is performed after changing from 1 to the alternative resource, information (alternative resource cost information) indicating the cost caused by the change to the alternative resource is generated based on the alternative option data 25.

  Next, the operation according to the present embodiment will be described with reference to FIGS.

FIG. 32 shows an operation at the time of execution of the activation cost calculation function executed immediately after the calculation and storage (S18) of the state in the simulation calculation of the state transition (FIG. 4).
When the operation level calculation function shown in the third embodiment is called, the activation cost calculation function is called immediately after the operation level calculation function.

In FIG. 32, the alternative option cost calculation unit 21 checks whether the calling process or element has a dependency (S58). If the element has no dependency, is the element an alternative option (substitute resource)? It is checked whether or not (S63).
If it is an alternative option, the alternative option cost calculation unit 21 checks whether or not the designated time is the time when the activation switching cost occurs (S64).
The time when the activation switching cost is generated is the transition time of a record having a value in the “activation switching cost” column shown in the state transition data 14 of FIG. For example, the 24-hour record of the external ASP service has a value of “2.0” in the “activation switching cost” column, and 24 hours (24 hours after the failure occurrence time) Become.

  In S64, when it is the time when the activation switching cost is generated, the alternative option cost calculating unit 21 sets the activation switching cost indicated in the state transition data 14 (the resource name, the time, and the activation switching cost are set. The data is stored in the work memory or the like (S65).

  On the other hand, when there is a dependency in S58 (in the case of YES), the alternative option cost calculation unit 21 extracts one record of the dependency element (dependency destination resource) from the dependency relationship data 13 (S59) and calls the activation cost calculation function (S60) This is repeated as long as there are dependent elements (S61), and the sum of the activation costs of all elements is set as the activation cost (S62).

  FIG. 33 shows an operation at the time of execution of the introduction maintenance cost calculation function called immediately after the state change simulation calculation function call (S6) in the state transition simulation calculation (FIG. 3).

In FIG. 33, the alternative option cost calculation unit 21 initializes the introduction cost and the maintenance operation cost variable (S66), extracts one record from the alternative option data 25 (S67), and includes the alternative option (substitution) included in the record. It is checked whether (resource) is included in the selected option set (S68).
If included, the introduction cost of the alternative option is added (S69), the maintenance cost of the alternative option is added (S70), and this is repeated as long as there is alternative option data (S71).

  As a result, as shown in FIG. 34, the introduction cost, the maintenance operation cost, and the generated cost in the elapsed time can be expressed. In comparison of a plurality of options or option sets, the operation process starts until the business process starts. A comparative study that takes into account not only the time and business level but also the cost will be possible.

In the present embodiment, a process analysis simulator has been described that includes the following means and elements, and enables multi-option comparative analysis from various points of view.
(A) Component input editing means for inputting / editing the introduction cost and maintenance / operation cost of the component input / edited as an alternative option, and means for holding the input / edited component data;
(B) Alternative option cost input editing means for inputting / editing the cost required to activate / switch to the alternative option in association with an arbitrary alternative option, and means for holding the input / edited alternative option cost data;
(C) a cost calculating means for calculating the introduction cost of the alternative option or the maintenance operation cost in association with an option set which is a combination of arbitrary alternative options, and a means for displaying the result;
(D) Cost calculating means for calculating the cost required for activation / switching in elapsed time in association with an option set that is a combination of arbitrary alternative options, and means for displaying the result.

Finally, a hardware configuration example of the BCP simulator apparatus 2 shown in the first to fourth embodiments will be described.
FIG. 42 is a diagram illustrating an example of hardware resources of the BCP simulator apparatus 2 illustrated in the first to fourth embodiments.
42 is merely an example of the hardware configuration of the BCP simulator device 2, and the hardware configuration of the BCP simulator device 2 is not limited to the configuration described in FIG. Also good.

42, the BCP simulator apparatus 2 includes a CPU 911 (also referred to as a central processing unit, a central processing unit, a processing unit, an arithmetic unit, a microprocessor, a microcomputer, and a processor) that executes a program.
The CPU 911 is connected to, for example, a ROM (Read Only Memory) 913, a RAM (Random Access Memory) 914, a communication board 915, and a magnetic disk device 920 via the bus 912, and controls these hardware devices.
Further, in FIG. 1 and the like, the BCP simulator device 2 is connected to the PC 1 having the input device 17 and the display device 18 via the computer network 3, but the CPU 911 of the BCP simulator device 2 has a display device 901, a keyboard 902, A mouse 903 or the like may be connected.
Further, the CPU 911 may be connected to an FDD 904 (Flexible Disk Drive), a compact disk device 905 (CDD), a printer device 906, and a scanner device 907.
Further, instead of the magnetic disk device 920, a storage device such as an optical disk device or a memory card (registered trademark) read / write device may be used.
The RAM 914 is an example of a volatile memory. The storage media of the ROM 913, the FDD 904, the CDD 905, and the magnetic disk device 920 are an example of a nonvolatile memory. These are examples of the storage device.
The “storage unit 5” described in the first to fourth embodiments is realized by the RAM 914, the magnetic disk device 920, and the like.
A communication board 915, a keyboard 902, a mouse 903, a scanner device 907, an FDD 904, and the like are examples of input devices.
The communication board 915, the display device 901, the printer device 906, and the like are examples of output devices.

  As shown in FIG. 1, the communication board 915 is connected to a network. For example, the communication board 915 may be connected to a LAN (local area network), the Internet, a WAN (wide area network), a SAN (storage area network), or the like.

The magnetic disk device 920 stores an operating system 921 (OS), a window system 922, a program group 923, and a file group 924.
The programs in the program group 923 are executed by the CPU 911 using the operating system 921 and the window system 922.

The RAM 914 temporarily stores at least part of the operating system 921 program and application programs to be executed by the CPU 911.
The RAM 914 stores various data necessary for processing by the CPU 911.

The ROM 913 stores a BIOS (Basic Input Output System) program, and the magnetic disk device 920 stores a boot program.
When the BCP simulator device 2 is activated, the BIOS program in the ROM 913 and the boot program in the magnetic disk device 920 are executed, and the operating system 921 is activated by the BIOS program and the boot program.

  The program group 923 stores a program for executing a function described as “˜unit” in the description of the first to fourth embodiments (other than “storage unit 5”). The program is read and executed by the CPU 911.

In the file group 924, in the description of the first to fourth embodiments, “simulation of”, “determination of”, “calculation of”, “calculation of”, “comparison of”, “evaluation of” ”,“ Update of ”,“ setting of ”,“ extraction of ”,“ registration of ”,“ selection of ”, information, data, signal values and variables indicating the results of processing Values and parameters are stored as items of “˜file” and “˜database”.
The “˜file” and “˜database” are stored in a recording medium such as a disk or a memory. Information, data, signal values, variable values, and parameters stored in a storage medium such as a disk or memory are read out to the main memory or cache memory by the CPU 911 via a read / write circuit, and extracted, searched, referenced, compared, and calculated. Used for CPU operations such as calculation, processing, editing, output, printing, and display.
Information, data, signal values, variable values, and parameters are stored in the main memory, registers, cache memory, and buffers during the CPU operations of extraction, search, reference, comparison, calculation, processing, editing, output, printing, and display. It is temporarily stored in a memory or the like.
In addition, arrows in the flowcharts described in the first to fourth embodiments mainly indicate input / output of data and signals, and the data and signal values are the RAM 914 memory, the FDD 904 flexible disk, the CDD 905 compact disk, and the magnetic field. Recording is performed on a recording medium such as a magnetic disk of the disk device 920, other optical disks, mini disks, DVDs, and the like. Data and signals are transmitted online via a bus 912, signal lines, cables, or other transmission media.

In addition, what is described as “to part” in the description of the first to fourth embodiments may be “to circuit”, “to device”, “to device”, and “to step”, It may be “˜procedure” or “˜processing”.
That is, the information processing method according to the present invention can be realized by the steps, procedures, and processes shown in the flowcharts described in the first to fourth embodiments.
Further, what is described as “˜unit” may be realized by firmware stored in the ROM 913. Alternatively, it may be implemented only by software, or only by hardware such as elements, devices, substrates, and wirings, by a combination of software and hardware, or by a combination of firmware. Firmware and software are stored as programs in a recording medium such as a magnetic disk, a flexible disk, an optical disk, a compact disk, a mini disk, and a DVD. The program is read by the CPU 911 and executed by the CPU 911. That is, the program causes the computer to function as “to part” in the first to fourth embodiments. Alternatively, the computer executes the procedure and method of “to unit” in the first to fourth embodiments.

  As described above, the BCP simulator apparatus 2 shown in the first to fourth embodiments includes a CPU as a processing device, a memory as a storage device, a magnetic disk, a keyboard as an input device, a mouse, a communication board, a display device as an output device, and a communication device. A computer including a board or the like, and implements the functions indicated as “to part” as described above using these processing devices, storage devices, input devices, and output devices.

  1 PC, 2 BCP simulator device, 3 computer network, 4 control unit, 5 storage unit, 6 process input editing unit, 7 component input editing unit, 8 dependency input editing unit, 9 state transition data input editing unit, 10 state Information simulation calculation unit, 11 process data, 12 component data, 13 dependency data, 14 state transition data, 15 scenario data, 16 state information simulation data, 17 input device, 18 display device, 19 process simulator device, 20 alternative option Input editing unit, 21 Alternative option cost calculation unit, 22 Option set input editing unit, 23 Operation level input editing unit, 24 Operation level calculation unit, 25 Alternative option data, 26 Process simulation control unit, 27 Subscription set data, 28 operation level data, 30 graphic information generation unit.

Claims (16)

A dependency data storage unit that stores a plurality of resources having a dependency relationship with other resources, and stores dependency relationship data that defines a dependency relationship between the plurality of resources;
For each resource, the process of state transition from the occurrence of a failure that is assumed when a failure occurs is shown for each resource, and the subsequent state transition is performed for the dependency definition resource for which the dependency destination resource is defined in the dependency relationship data. The transition condition of the specific state transition is defined in association with the state of the dependent resource for a specific state transition, and the transition timing of each state transition subsequent to the specific state transition is determined from the transition time of the specific state transition. A state transition data storage unit for storing state transition data defined as a time difference between
The state transition process indicated in the state transition data is simulated for each resource from the failure occurrence time, and the transition condition of the specific state transition is satisfied for the dependency destination definition resource based on the state of the dependency destination resource. The transition time of the specific state transition is derived based on the time difference from the failure occurrence time when the transition condition of the specific state transition is satisfied, and the derived specific state A simulation operation unit for deriving a transition time of each state transition subsequent to the specific state transition based on a transition time of the transition and a transition timing of each state transition defined in the state transition data Information processing device. The simulation operation unit
For at least one of the plurality of resources including the dependency destination definition resource, at least one of a state transition process from a failure occurrence to a recovery and a state transition process in a degeneration process at the time of failure occurrence is indicated together with a transition time of each state transition. The information processing apparatus according to claim 1, wherein state transition simulation information is generated. The simulation operation unit
Based on the dependency relationship data, the bottom resource that does not have the dependency destination resource is extracted by tracing the dependency destination resource in order from the top end resource that is the dependency destination definition resource that is not dependent on any resource,
Determine the status of the extracted bottom edge resource, and based on the bottom edge resource state, determine whether the transition condition of the specific state transition is satisfied for the dependency destination definition resource that has the bottom edge resource as the dependency destination resource. The state of the dependency destination definition resource is determined, and when the transition condition of the specific state transition is satisfied, a transition time of the specific state transition is derived, and each state transition subsequent to the specific state transition is derived. Deriving the transition time,
Each dependency destination definition resource repeats the operation of determining whether or not the transition condition of the specific state transition is satisfied for each dependency destination definition resource by tracing the dependency destination definition resource in order from the bottom resource to the top resource. The information processing apparatus according to claim 1, wherein the state is determined and a transition time of the state transition is derived. The state transition data storage unit
Stores state transition data describing the independent state transition time at which a state transition occurs in any resource regardless of the state of other resources as a time difference from the failure occurrence time,
The simulation operation unit
Whether the specific state transition transition condition is satisfied for each dependency destination definition resource by tracing the dependency destination definition resource in order from the bottom resource to the top resource at the independent state transition time described in the state transition data The information processing apparatus according to claim 3, wherein an operation for determining whether or not is repeated to determine a state of each dependency destination definition resource and to derive a transition time of the state transition. The simulation operation unit
At the independent state transition time, the dependency destination definition resource is traced in order from the lower end resource to the upper end resource, and an operation is performed to determine whether the transition condition of the specific state transition is satisfied for each dependency destination definition resource. As a result, when it is determined that the transition condition of the specific state transition is satisfied in any dependency destination definition resource, the independent state transition time is set as the transition time of the specific state transition in the dependency destination definition resource. The information processing apparatus according to claim 4, wherein: The simulation operation unit
In addition to the independent state transition time, at the derived state transition time, which is the state transition time derived for any dependency destination definition resource, the dependency destination definition resource is traced in order from the bottom resource to the top resource. Repeating the operation of determining whether the transition condition of the specific state transition is satisfied for each destination definition resource, determining the state of each dependency destination definition resource, and deriving the transition time of the state transition 6. The information processing apparatus according to claim 4 or 5, characterized in that: The simulation operation unit
At the derived state transition time derived for any dependency destination definition resource, the dependency destination definition resource is traced in order from the lower end resource to the upper end resource, and the transition condition of the specific state transition is satisfied for each dependency destination definition resource. As a result of performing the operation to determine whether or not the state is determined, if it is determined that the transition condition of the specific state transition is satisfied in any of the dependency destination definition resources, the derived state transition time is set to the dependency destination The information processing apparatus according to claim 6, wherein a transition time of the specific state transition in the definition resource is set. The dependency data storage unit
Stores dependency data that defines the dependency between multiple resources used in business,
The simulation operation unit
Based on the state transition process from the failure occurrence of the plurality of resources including the dependency destination definition resource and the transition time of each state transition, the process of the state transition from the failure occurrence of the task and the transition time of each state transition are derived. The information processing apparatus according to claim 1, further comprising: state transition simulation information indicating a state transition process from the occurrence of the business failure and a transition time of each state transition. The information processing apparatus further includes:
Based on the state transition simulation information generated by the simulation operation unit, generates graphic information that graphically represents the state transition process and the transition time of each state transition from the occurrence of a failure of the business and each resource, and a predetermined display device The information processing apparatus according to claim 8, further comprising: a graphic information generation unit that outputs to a computer. The graphic information generation unit
The information processing apparatus according to claim 9, wherein time-based state information that represents the state of the task and each resource by time is generated based on the state transition simulation information generated by the simulation calculation unit. The information processing apparatus further includes:
One of the resources indicated in the dependency data is indicated as an alternative resource, an alternative resource that substitutes the alternative resource is indicated, and alternative resource data that defines a dependency relationship between the alternative resource and another resource is stored An alternative resource data storage unit;
The state transition data storage unit
For the alternative resource, store state transition data indicating the state transition process expected when a failure occurs,
The simulation operation unit
11. The state transition process indicated in the state transition data is simulated for each resource by changing the substitute resource indicated in the alternative resource data to an alternative resource. An information processing apparatus according to claim 1. The alternative resource data storage unit
Storing alternative resource data indicating the switching time from the alternative resource to the alternative resource;
The simulation operation unit
The information processing apparatus according to claim 11, wherein a simulation using an alternative resource is performed before the switching time arrives, and the simulation is performed by switching to the alternative resource when the switching time arrives. The alternative resource data storage unit
Storing alternative resource data indicating the costs incurred when changing from a substituting resource to an alternative resource,
The information processing apparatus further includes:
An alternative resource cost information generation unit that generates alternative resource cost information indicating a cost caused by the change to the alternative resource based on the alternative resource data when the simulation operation unit changes the alternative resource to the alternative resource and performs a simulation. The information processing apparatus according to claim 11, wherein the information processing apparatus includes: The state transition data storage unit
Stores state transition data that includes a limited operational status indicating that the resource status is limited but performance is possible.
The information processing apparatus further includes:
A performance level data storage unit that stores performance level data indicating the relationship between the elapsed time and the performance level since the transition to the restricted operation enabled state for each resource;
A performance level calculation unit that calculates a change in performance level over time after transitioning to the restricted operation enabled state based on the performance level data for a resource that has changed to the restricted operation enabled state in the simulation by the simulation calculation unit. The information processing apparatus according to any one of claims 1 to 13. A dependency data reading step in which a computer reads dependency data defining a dependency relationship between the plurality of resources from a predetermined storage area while indicating a plurality of resources having a dependency relationship with other resources;
For each resource, the process of state transition from the occurrence of a failure that is assumed when a failure occurs is shown for each resource, and the subsequent state transition is performed for the dependency definition resource for which the dependency destination resource is defined in the dependency relationship data. The transition condition of the specific state transition is defined in association with the state of the dependent resource for a specific state transition, and the transition timing of each state transition subsequent to the specific state transition is determined from the transition time of the specific state transition. A state transition data reading step in which the computer reads state transition data defined as a time difference from a predetermined storage area;
The computer simulates the state transition process indicated in the state transition data for each resource from the failure occurrence time, and for the dependency destination definition resource, the specific state transition of the specific destination state is determined based on the state of the dependency destination resource. Determining whether or not the transition condition is satisfied, and deriving and deriving the transition time of the specific state transition based on the time difference from the failure occurrence time when the transition condition of the specific state transition is satisfied Having a simulation calculation step for deriving a transition time of each state transition subsequent to the specific state transition based on a transition time of the specific state transition and a transition timing of each state transition defined in the state transition data An information processing method characterized by the above. Dependency data read processing that reads a plurality of resources having a dependency relationship with other resources and reads dependency data defining a dependency relationship between the plurality of resources from a predetermined storage area;
For each resource, the process of state transition from the occurrence of a failure that is assumed when a failure occurs is shown for each resource, and the subsequent state transition is performed for the dependency definition resource for which the dependency destination resource is defined in the dependency relationship data. The transition condition of the specific state transition is defined in association with the state of the dependent resource for a specific state transition, and the transition timing of each state transition subsequent to the specific state transition is determined from the transition time of the specific state transition. State transition data reading processing for reading out state transition data defined as a time difference from a predetermined storage area;
The state transition process indicated in the state transition data is simulated for each resource from the failure occurrence time, and the transition condition of the specific state transition is satisfied for the dependency destination definition resource based on the state of the dependency destination resource. The transition time of the specific state transition is derived based on the time difference from the failure occurrence time when the transition condition of the specific state transition is satisfied, and the derived specific state Based on the transition time of the transition and the transition timing of each state transition defined in the state transition data, causing the computer to execute a simulation calculation process for deriving the transition time of each state transition following the specific state transition A featured program.

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