JP2538679B2 - Job execution time prediction display method - Google Patents

Description

The present invention relates to a job execution time prediction display method, and more particularly to a job execution time prediction display method in an information processing system.

[Conventional technology]

Conventionally, in an information processing system, when a job to be executed on a specific day is selected, a job execution order is determined, a job execution time is determined, etc., an execution requirement ledger is manually created for each job. , Jobs to be executed on a specific day are selected based on those ledgers, job execution order, arrival time of data necessary for execution of jobs sent from outside the information processing system, and mutual exclusion relationship between jobs A job execution schedule (a schedule that shows the execution order and execution time of jobs selected to be executed on a specific day) was created in consideration of the above (the execution schedule of this job is detailed. It wasn't clear).

[Problems to be Solved by the Invention]

The above-described conventional job execution schedule creation requires manual work, so when a job execution environment or execution conditions are changed in the information processing system, the execution schedule of the related job is updated each time. All the information in the table has to be updated, a lot of labor is required for the update, and there is a drawback that trouble due to omission of update may occur.

In addition, since it is not clear in detail what job will be executed at what time, it will not be possible to give an accurate answer to inquiries from outside the information processing system (inquiries regarding job execution time, etc.). There are drawbacks.

In view of the above points, an object of the present invention is to automatically grasp, store, edit and output (display) the execution time of a job executed on a specific day, and execute the job on the specific day. It is to provide a job execution time prediction display method that can clarify the schedule in advance.

[Means for solving the problem]

The job execution time prediction display method of the present invention indicates a job execution environment including calendar information and machine information, and job execution conditions including job execution date information, job execution time information, job execution sequence information, and job start condition information. And a basic information storage means for storing basic information having information on the job execution environment and job execution conditions in the job execution environment execution condition storage device based on the analysis by the directive statement analysis means. And a job execution time prediction means for predicting the execution date, execution time and execution order of the job based on the basic information stored in the job execution environment execution condition storage device by the basic information storage means, and the job execution time prediction means. The predicted information, which is a predicted result, is stored in the job execution environment execution section by the basic information storage means. Edited with basic information stored in the storage device and a prediction information editing output means for outputting.

[Action]

In the job execution time prediction display method of the present invention, the instruction statement analysis unit includes a job execution environment including calendar information and machine information, and a job including job execution date information, job execution time information, job execution sequence information, and job start condition information. The basic information storage means stores basic information having information on the job execution environment and job execution conditions in the job execution environment execution condition storage device based on the analysis by the directive statement analysis means. The job execution time prediction means predicts the execution date, execution time, and execution order of the job based on the basic information stored in the job execution environment execution condition storage device by the basic information storage means, and the predicted information edit output means calculates the job execution time. Execution of the job execution environment by the basic information storage means using the prediction information that is the result predicted by the prediction means Edit and output along with the basic information that has been stored in the matter storage device.

〔Example〕

 Next, the present invention will be described with reference to the drawings.

FIG. 1 is a block diagram showing the configuration of an embodiment of the job execution time prediction display method of the present invention. The job execution time prediction display method according to the present exemplary embodiment includes a command statement analysis unit 11 that analyzes the content of a given command statement 15, and basic information (execution of a job that serves as data for predicting a job execution time and the like). (Basic information storage means 12 for storing information about environment and execution conditions) in the job execution environment execution condition storage device 16, and the execution date and execution time of the job based on the basic information stored in the job execution environment execution condition storage device 16. And a job execution time prediction unit 13 that predicts an execution order and the like (which job is executed in what order and at what time), and stores the prediction result as prediction information in the prediction information storage device 17,
Prediction information edit / output means 14 for editing and outputting (displaying) various forms (including charts) based on the prediction information stored in the prediction information storage device 17, instruction sentence 15, and job execution environment execution condition storage It is configured to include a device 16, a prediction information storage device 17, and a display device 18.

FIG. 2 is a diagram showing an example of an instruction sentence 15 for instructing a job execution environment and execution conditions.

FIG. 3 is a diagram showing an example of a record relating to the job execution environment on the job execution environment execution condition storage device 16.

FIG. 4 is a diagram showing an example of records relating to job execution conditions in the job execution environment execution condition storage device 16.

FIG. 5 is a diagram showing an example of an instruction sentence 15 for instructing prediction of job execution time and the like.

FIG. 6 is a diagram showing an example of a record of prediction information on the prediction information storage device 17.

FIG. 7 is a diagram showing an example of a form (chart) output on the display device 18.

Next, the operation of the job execution time prediction display method of this embodiment having the above configuration will be described.

When the job execution environment and the execution conditions are determined (or changed) in the information processing system to which the job execution time prediction display method of this embodiment is applied, the instruction statement 15 as shown in FIG. 2 is used. The instruction statement analysis unit 11 is instructed to register (or update).

The instruction content of the instruction sentence 15 includes at least the following items.

(1) Items related to job execution environment Calendar information Specification of days of the week for holidays, specification of irregular non-working days, specification of irregular working days, etc. Machine information (2) Items related to job execution conditions Job execution date information Job execution date information, non-execution date specification, execution day specification, non-execution day specification, and cycle specification Job execution time information Start time ( Executable time, end time (end limit time), elaps (execution time), etc. Job execution sequence information Preceding job name, succeeding job name, etc. Job start condition information Name (exclusive job name) designation, data arrival time designation from the outside, etc.
Analyzes the instruction content of the instruction sentence 15 and passes the analysis result to the basic information storage means 12.

Based on the analysis by the directive statement analysis unit 11, the basic information storage unit 12 stores basic information (job execution environment and job execution conditions) in the job execution environment execution condition storage device 16 based on the contents instructed by the above-mentioned directive statement 15. (Basic information having information relating to) is stored.

The basic information is managed in the job execution environment execution condition storage device 16 in the format as shown in FIGS. 3 and 4 (the record related to the job execution environment in the job execution environment execution condition storage device 16 is the calendar ID ( IDentification),
It has year, holiday days, irregular non-working days, machine operating time, multiplicity, etc., and records related to job execution conditions on the job execution environment execution condition storage device 16 can be job name, synchronization, and execution. The time, end limit time, execution time, preceding job name, succeeding job name, exclusive job name, data arrival time from the outside, etc.) are edited by the prediction information edit output means 14 at a necessary time thereafter. Is output.

When the user predicts the execution date and execution time of the job after the current day, the month or month and day (the first day) to be predicted by the instruction statement 15 for instructing the prediction of the job execution time as shown in FIG. In the instruction sentence 15 shown in FIG. 5, the instruction (prediction instruction) in which the month (prediction date) is designated is given to the instruction sentence analysis means 11.

The instruction sentence analysis means 11 to which such an instruction sentence 15 is given
Analyzes the instruction content of the instruction sentence 15 and, since it is a prediction instruction, instructs the job execution time prediction means 13 of the month or the month and day to be predicted.

The job execution time prediction means 13 predicts the job execution time and the like according to the following procedure based on the basic information already created in the job execution environment execution condition storage device 16.

(1) Calendar information in the record related to the job execution environment (instruction statement that indicates the job execution environment and execution conditions
The information name in 15 is the job execution environment execution condition storage device 16
Create a calendar for the month to be predicted (calendar with confirmed working days and holidays (non-working days)) based on the applicable information in the basic information above.

(2) Whether or not each job can be executed is determined based on the job execution date information in the record related to the job execution condition.

(3) The execution order and priority of each job are determined based on the job execution time information and the job execution order information in the record related to the job execution condition.

(4) Based on the machine information in the record related to the job execution environment and the job start condition information in the record related to the job execution condition, the schedule time of each job is assigned in the order from the job with the highest priority. At this time,
If each job cannot be assigned within the specified time, an error message indicating that fact is output.

By the prediction processing of the job execution time prediction means 13 according to the procedure as described above, it is clarified what kind of jobs will be executed in what order in what day, and at what time. .

The job execution time prediction means 13 stores the prediction information, which is the result of the above-described prediction, in the prediction information storage device 17 in the format as shown in FIG. 6 (the prediction information record is the prediction target date, the day of the week). , Active / inactive flag, machine operating time,
It has multiplicity, job name, schedule time, execution time, data arrival time from the outside, etc.).

Basic information storage means 12 and job execution time prediction means 13
Each processing (the basic information storage means 12 stores the basic information in the job execution environment execution condition storage device 16 and the job execution time prediction means 13 stores the prediction information in the prediction information storage device 17) is completed. The prediction information edit output means 14 notified to that effect is stored on the job execution environment execution condition storage device 16 by the prediction information and basic information storage means 12 stored by the job execution time prediction means 13 on the prediction information storage device 17. Various forms are edited and output on the display device 18 based on the stored basic information.

The form (chart) shown in FIG. 7 is an example of various forms, and the execution time prediction chart (“JOB1”, “JOB2”, “JO
"B3", "LJOB1", "LJOB2" and "LJOB3" represent job names, and the range indicated by the arrow represents the schedule time) (prediction information edit output means)
Needless to say, 14 can output various forms other than the execution time prediction chart).

〔The invention's effect〕

As described above, according to the present invention, by providing the instruction sentence analysis means, the basic information storage means, the job execution time prediction means, and the prediction information edit output means, it is possible to automatically execute the execution time of a job executed on a specific day. It is possible to grasp, store, edit, output, and the like, and it is possible to clarify the job execution schedule on a specific day in advance, and further, the following effects are obtained.

(1) It is not necessary to manually update the ledger.

(2) To clarify the job to be executed in advance,
It becomes possible to prepare the media and the like required by the job.

(3) In order to clarify the job execution order in advance,
Fewer startup mistakes during job execution.

(4) In order to clarify the job execution time in advance,
The distribution schedule of job execution results can be clarified.

(5) In order to clarify the job execution schedule in advance,
Job start omission is eliminated.

(6) If the job cannot be executed within the designated time, the fact becomes clear in advance.

[Brief description of drawings]

FIG. 1 is a block diagram showing a configuration of an embodiment of the present invention, FIG. 2 is a diagram showing an example of an instruction statement in FIG. 1 for instructing a job execution environment and execution conditions, and FIG. FIG. 4 is a diagram showing an example of a record relating to a job execution environment on the job execution environment execution condition storage device in the figure, and FIG. 4 is an example of a record relating to job execution condition on the job execution environment execution condition storage device shown in FIG. FIG. 5 is a diagram showing an example of an instruction statement in FIG. 1 for instructing prediction of job execution time, etc., and FIG. 6 is a record of prediction information on the prediction information storage device in FIG. FIG. 7 is a diagram showing an example of a form output on the display device shown in FIG. 1. In the figure, 11 ... instruction statement analysis means, 12 ... basic information storage means, 13 ... job execution time prediction means, 14 ... prediction information edit output means, 15 ... instruction text, 16 ... job execution environment execution Condition storage device, 17 ... Prediction information storage device, 18 ... Display device.

Claims (1)

(57) [Claims] 1. A job execution environment including calendar information and machine information, and an instruction statement for instructing a job execution condition including job execution date information, job execution time information, job execution sequence information, and job start condition information is analyzed. And a basic information storage unit for storing basic information having information on the job execution environment and job execution conditions in the job execution environment execution condition storage device based on the analysis by the directive statement analysis unit. The execution date of the job based on the basic information stored in the job execution environment execution condition storage device by means
Job execution time predicting means for predicting execution time and execution order, and basic information stored in the job execution environment execution condition storage device by the basic information storage means, the prediction information being the result predicted by the job execution time predicting means. And a predictive information edit and output means for editing and outputting together with the predictive display method for job execution time.