JPH05334102A - Device for forecasting job execution status - Google Patents

Abstract

PURPOSE:To provide a job execution status forecasting device for automatically calculating the time when each job ends, at the time of executing several supposed jobs by an information processor. CONSTITUTION:The CPU time, CPU using rate and starting condition of each batch job in a file 21 are read out by a reading means 11 and outputted to a memory 12 and a display part 4. A job information forming means 13 changes information stored in a memory 12 in accordance with an instruction from a keyboard 3 and forms the information of a job to be forecasted. A calculating means 14 judges a batch job to be newly started in each unit time after starting time in accordance with the information of the job to be forecasted, calculates a CPU using rate to be practically allocated to each batch job to be executed within the unit time and accumulates the CPU time of each batch job based upon the calculated result to calculate the end time of each batch job. An output means 15 writes the end time in a file 22 and outputs the end time to a display part 4 or the like by a time chart format through a graphing means 16.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a job execution status predicting apparatus, and more specifically, it automatically calculates when each job is finished when several supposed jobs are executed by an information processing apparatus. The present invention relates to a job execution status prediction device that outputs the same.

[0002]

2. Description of the Related Art Generally, as the number and scale of jobs to be processed in an information processing apparatus increases, it takes a longer time to finish all jobs. Therefore, in a department or department that must finish the execution of all jobs by the end time, before submitting a new job for a new job, the job Predict what the end time will be in advance, and if there is a job that does not end even after the end time,
There is an urgent need to take measures such as upgrading the level of information processing equipment.

Conventionally, the end time of such a job is predicted by performing a prediction calculation on a desk according to the information of each job after the change.

[0004]

However, such a prediction by desktop calculation does not cause much problem when the number of jobs is small, but when the number of jobs is large, the amount of calculation becomes enormous, and a result cannot be obtained. There is a problem that not only it takes a long time but also calculation errors increase.

The present invention has been made in view of such circumstances, and an object thereof is to automatically determine when each job ends when some supposed jobs are executed by an information processing apparatus. The object is to provide a job execution status prediction device that calculates and outputs the job execution status.

[0006]

In order to achieve the above object, the present invention has at least two of CPU time, CPU usage rate and elapsed time and a start condition for each batch job executed in an information processing apparatus. And responsive to input from an input device to modify information stored in the storage means and / or to store CPU time, CPU utilization and elapsed time for a new batch job. According to the job information generating means for generating the prediction target job information by adding at least two of them and the start condition, and for each unit time after the business start time according to the prediction target job information generated by the job information generating means, CP job that can be assigned to each batch job executed within the unit time
Calculation means for calculating the end time of each batch job by calculating the U usage rate and accumulating the CPU time of each batch job based on the calculation result, and each batch job calculated by the calculation means And an output unit for outputting the end time of (3) from the output device.

In addition to batch jobs, online
In order to predict the job execution status of an information processing apparatus that also executes jobs, a CP for each unit time relating to an online job executed by the information processing apparatus
U utilization, CPU time for each batch job, C
Storage means for storing at least two of the PU usage rate and the elapsed time and the start condition, and in response to the input from the input device, modify the information stored in the storage means and / or create a new one. At least 2 of CPU time, CPU usage and elapsed time for batch jobs
The job information generation means for generating the prediction target job information by adding the start condition and the start condition, and the newly started job for each unit time after the business start time according to the prediction target job information generated by the job information generation means. Determination, CPU of online job executed within the unit time
Calculation of the CPU usage rate that can be actually assigned to each batch job based on the remaining CPU usage rate for which the usage rate has been secured,
A calculation unit that calculates the end time of each batch job by accumulating the CPU time of each batch job based on the calculation result, and an output device that outputs the end time of each batch job calculated by the calculation unit And output means for outputting more.

Further, the present invention can be applied to an information processing apparatus which has to reserve a predetermined CPU usage rate for a separate job in order to execute the separate job on a specific day. By storing the CPU usage rate as a specific day processing frame in the storage means, and the calculation means by receiving the designation of the specific day processing from the input device,
The CPU usage rate of the online job is secured from the remaining CPU usage rate that secures the CPU usage rate as the specific day processing frame, and each batch
It has a configuration for calculating a CPU usage rate that can be actually assigned to a job.

[0009]

In the job execution status prediction apparatus of the present invention,
The storage means stores at least two of the CPU time, the CPU usage rate, and the elapsed time for each batch job executed in the information processing apparatus and the start condition, and the user corrects the input apparatus such as a keyboard. Upon entering the information or additional information, the job information generation means responsively modifies the information stored in the storage means and / or the CPU time, CPU, for the new batch job.
At least two of the usage rate and the elapsed time and the start condition are added to generate the prediction target job information. afterwards,
According to the prediction target job information generated by the job information generation means, the calculation means determines a batch job to be newly started for each unit time after the business start time, and each batch job executed within that unit time. The CPU utilization rate that can be actually assigned to each batch job is calculated, and the CPU time of each batch job is accumulated based on the calculation result to calculate the end time of each batch job, and the output means calculates it by the calculation means. The end time of each batch job is output from the output device.

In addition to batch jobs, online
In a job execution status prediction device capable of predicting the job execution status of an information processing apparatus that also executes a job, the storage means has a CPU usage rate for each unit time and a batch for an online job executed by the information processing apparatus.・
At least two of the CPU time, the CPU usage rate, and the elapsed time regarding the job and the start condition are stored, and when the user inputs the correction information or the additional information from the input device such as the keyboard, the job information generation means In response to modifying the information stored in the storage means, or /
And the CPU time, C, for the new batch job
At least two of the PU usage rate and the elapsed time and the start condition are added to generate the prediction target job information. Then, the calculation unit determines a job to be newly started for each unit time after the business start time according to the prediction target job information generated by the job information generation unit, and determines an online job executed within the unit time. Each batch job is calculated by calculating the CPU usage rate that can be actually assigned to each batch job based on the remaining CPU usage rate that secures the CPU usage rate, and by accumulating the CPU time of each batch job based on the calculation result. The job end time is calculated, and the output means outputs the end time of each batch job calculated by the calculation means from the output device.

Further, in the job execution status prediction apparatus capable of predicting the job execution status of the information processing apparatus which must be reserved for the job by the predetermined CPU usage rate on the specific day, the storage means is further specified. The CPU usage rate as a daily processing frame is stored, and the calculation means receives the designation of the specific day processing from the input device, and the remaining CPUs that have secured the CPU usage rate as the specific day processing frame.
The CPU usage rate of the online job is secured from the usage rate, and the CPU usage rate that can be actually assigned to each batch job is calculated from the remaining CPU usage rate.

[0012]

Embodiments of the present invention will now be described in detail with reference to the drawings.

Referring to FIG. 1, an embodiment of the job execution status predicting apparatus of the present invention comprises a control unit 1, an external storage device 2, a keyboard 3, a display unit 4 and a printer 5, and the control unit 1 The reading means 11, the memory 12, the job information generating means 13, the calculating means 14, the outputting means 15 and the graphing means 16 are included, and the external storage device 2 includes files 21 and 22.

The file 21 includes a CPU usage rate for each unit time related to an online job currently executed in the information processing apparatus to be predicted, a CPU time related to each batch job, a CPU usage rate, an elapsed time and a start. It is a file that stores the conditions and the CPU usage rate as the specific day processing frame, and an example of the stored contents is shown in FIG.

In the example of FIG. 2, in order to simplify the explanation, the operating time zone of the information processing apparatus to be predicted is 9: 0
The CPU usage rate of the online job A, which is constantly operating over the operating time period, holds an average value for every 10 minutes. Further, the elapsed time of each batch job B, C is the total time of the CPU processing time and the access time of the external file, the CPU time represents the CPU processing time in the total time, and the CPU usage rate is the CPU.
Indicates the ratio of time divided by elapsed time. That is, when the CPU time is α and the elapsed time is β (≧ α), the CPU usage rate is α / β × 100%. This CPU usage rate is
It is also a limit value that it can not be used any more even if it is empty.

As will be apparent from the following explanation of the operation, the prediction of the execution status of the batch job is performed by CPU time and CP.
Since it is performed by using the U usage rate, the elapsed time is essentially unnecessary, but is stored for the convenience of the user in this embodiment. Further, the CPU time is obtained from the CPU usage rate and the elapsed time, and the CPU usage rate is obtained from the CPU time and the elapsed time. Therefore, at least two of the CPU time, the CPU usage rate, and the elapsed time are actually stored. It's enough.

The operation of this embodiment will be described below.

When the user operates the keyboard 3 to instruct to read the file 21, the reading means 11 of the control unit 1
2 reads out the information as shown in FIG. 2 stored in the file 21, stores it in the memory 12, and displays the content on the display unit 4 on the monitor.

Next, when the user inputs a correction instruction or additional information from the keyboard 3, the job information generating means 13 changes the contents of the memory 12 accordingly (at this time, the display of the display unit 4 is also changed. Memory 1
2 to generate prediction target job information.

As an example, if the user inputs information on a new batch job D as shown in FIG. 3 from the keyboard 3, the job information generating means 13 stores the input information in the memory 12. By adding
Online job A, batch with the characteristics shown in FIG.
Information about the jobs B and C, the specific day processing frame, and the newly added batch job D is used as the prediction target job information.

Next, when the user designates either a normal day or a specific day as the processing date to be predicted and instructs the prediction start from the keyboard 3, the calculating means 14 starts the operation.

The calculation means 14 uses 1 as the CPU utilization rate that can be used when a normal day is designated as the processing day to be predicted.
If 00% is set and a specific day is specified, the specific day processing frame set in the prediction target job information in the memory 12 is set to 100.
The remaining CPU deducted from% is set as the usable CPU usage rate, and for each unit time, for example, every 10 minutes, after 9:00 of the work start time, determination of a job to be newly started, execution within that unit time Online job A
Calculation of the CPU usage rate that can be actually assigned to each of the batch jobs B, C, and D based on the remaining available CPU usage rate that secures the CPU usage rate of each of the batch jobs B, C, and By accumulating the CPU time of D, the job execution status information including the end time of each batch job is generated.

The job execution status information generated by the calculation means 14 is stored in the file 22 of the external storage device 2 by the output means 15, and is graphed by the graphing means 16 in a time chart format as shown in FIG. 4, for example. It is then output from the display unit 4 and / or the printer 5.

The flowchart of FIG. 5 shows an example of the processing of the calculating means 14, FIG. 6 shows an example of the contents of the internal table of the calculating means 14, and FIG. 7 shows the transition of the CPU usage status. The calculation means 14 will be described below according to the flow of the flowchart of FIG.
The operation of will be described.

The calculating means 14 first determines whether a processing day is a normal day or a specific day (S1), and if the normal day is specified, the usable CPU usage rate (CPU
100% is set as (max) (S2). On the other hand, if the specific day is specified, 90% obtained by subtracting 10% as the specific day processing frame shown in FIG. 2 is set as CPUmax (S3). Here, it is assumed that a normal day is designated.

Next, the time zone t of interest is set to 9:00 to 9:10, which is the first time zone (S4). Next, it is confirmed that the attention time period t is not outside the operating time period (9:00 to 10:00) (S5), and whether or not there is a job to be started is determined by the online It is judged according to the CPU usage rate of the job and the start condition of the batch job (S6).

In FIG. 2, the jobs to be started at 9:00 are the online job A and the batch job B. Therefore, the calculation means 14 stores 9:00 as the start time of the online job A and the batch job B in the internal table in S7 as shown in FIG.

Next, in S8, it is determined based on the internal table whether or not there is a batch job being started. In this case, since the batch job B is being activated, the process proceeds to S9, and it is determined whether or not the online job is in operation. If the online job is not running, the process proceeds to S11. If the online job is not included, the process proceeds to S11. If the online job is included, the online job is usually the highest priority job. , CPU for S10
After securing the usage rate, the process proceeds to S11. In this case, since the online job A is in operation, the CPU usage rate of 20% of the online job A of 9:00 to 9:10 is secured as shown in FIG. 7, and the remaining 8 after subtracting 20% from 100% is 8%.
0% is defined as CPUmax.

Next, in step S11, the batch
The assigned CPU usage rate of the job is calculated. In the present case,
The batch job being started up is only batch job B, and its CPU usage rate is 50% and less than CPUmax = 80%. Therefore, the assigned CPU usage rate of batch job B is set to 50% as shown in FIG. , S12.

At S12, the CP of the batch job being started
Accumulate U hours. In this case, the CPU time of the batch job B in the relevant time zone from 9:00 to 9:10 is 5 minutes because it is executed for 10 minutes at the allocated CPU usage rate of 50%, and the cumulative value up to that time is 0. The new cumulative value is 5 minutes.

Next, whether or not there is a completed job is determined based on the CPU usage rate of the online job in the prediction target job information for the online job, and in the prediction target job information for the batch job. The determination is made based on the comparison between the CPU time of the batch job and the accumulated CPU time up to the present (S13). In the present case,
The online job A being started does not end because the CPU usage rate other than 0% is set until 10:00, and the cumulative CPU time of the batch job B being started is 5 minutes.
Since it is less than 10 minutes in FIG. Therefore, it is determined that there is no finished job.

Next, the calculating means 14 sets the time zone of interest to the next 1
Move to 0 minutes (S15). That is, t = 9: 10 to 9:20
Then, the process returns to S5 and the above-described processing is repeated.

In this attention time zone 9:10 to 9:20,
Since the CPU usage rate of online job A is 30%, the calculation result of S10 is CPUmax = 70%, which is larger than the CPU usage rate of batch job B of 50%.
The batch job B is executed for 10 minutes at the allocated CPU usage rate of 50% as shown in FIG. As a result,
The cumulative CPU time of job B is 10 minutes, and S13
It is determined that the batch job B has ended, and 9:20 is stored in the internal table of the calculating means 14 as the end time of the batch job B as shown in FIG. 5 (S14).

In the next time zone of interest 9:20 to 9:30, batch job B is completed and batch job C and batch job D satisfying the start conditions are newly started. That is, the batch jobs C and D are detected as jobs to be started in S6, and 9:20 is stored in the internal table of the calculating means 14 as the start time of each as shown in FIG.

Also, online job A in this time zone
CPU usage rate is 40%, the calculation result of S10 is C
PUmax = 60%, batch jobs C and D being started
The CPU usage rate of 30% and 60% is less than the total value of 90%.

Therefore, in S11, CPUmax = 60%
The batch job C with a CPU usage rate of 30%
Job D is divided at a CPU usage rate of 60%, and the assigned CPU usage rate of batch job C is set to 2 as shown in FIG.
0%, the assigned CPU usage of batch job D is 40%
Calculate as%.

As a result, in S12, the batch job C
In the current attention time zone 9:20 to 9:30, the CPU time is calculated to be 2 minutes, and the cumulative value up to that point is 0. Therefore, the new cumulative value of the CPU time of the batch job C is calculated to be 2 minutes. .. Similarly, the cumulative value of the CPU time of the batch job D is calculated as 4 minutes.

In the next attention time zone 9:30 to 9:40 and the next attention time zone 9:40 to 9:50, the CPU usage rate of the online job A is in the time zone 9:20 to 9: 3.
Since it is 40%, which is the same as 0, the cumulative CPU time of batch job C at 9:50 is 6 minutes, and C of batch job D is C.
The cumulative value of PU time is 12 minutes.

Since the CPU times of the batch jobs C and D in the prediction target job information are 6 minutes and 12 minutes as shown in FIG. 2, it is determined that the batch jobs C and D have both ended at 9:50. , S14, the batch job C,
As the end time of D, 9:50 is stored in the internal table of the calculating means 14 as shown in FIG.

In the next time zone of interest from 9:50 to 10:00, since there are no batch jobs being started, S8 to S
Proceeding to 15, the attention time zone is changed from 10:00 to 10:10. As a result, it is determined in S5 that it is outside the operating hours, and the process proceeds to S16.

In step S16, unfinished jobs (including jobs that have not been started) are checked, and if there are jobs, overflow information indicating that the jobs have not finished even at the closing time is stored in the internal table. In the current example, there is no such job. Then, the calculation unit 14 requests the output unit 15 to output the job execution status based on the contents of the internal table and ends the processing.

[0042]

As described above, the job execution status predicting apparatus of the present invention automatically calculates when each job will end when several supposed jobs are executed by the information processing apparatus. Since it is output as a result, there is an effect that the burden on the user is significantly reduced and a prediction result can be obtained quickly as compared with the case where the prediction is made by a desk calculation as in the past.

[Brief description of drawings]

FIG. 1 is a configuration diagram of an embodiment of the present invention.

FIG. 2 is a diagram showing an example of contents stored in a file 21.

FIG. 3 is a diagram illustrating an example of information about an added job.

FIG. 4 is a diagram illustrating an example of a graph showing a job execution status that is output.

FIG. 5 is a flowchart showing an example of processing of a calculation unit.

FIG. 6 is a diagram showing an example of contents of an internal table of a calculation means.

FIG. 7 is a diagram showing an example of transition of CPU usage status.

[Explanation of Codes] 1 ... Control unit 2 ... External storage device 3 ... Keyboard 4 ... Display unit 5 ... Printer 11 ... Read-out means 12 ... Memory 13 ... Job information generation means 14 ... Calculation means 15 ... Output means 16 ... Graphing means

Claims (3)

[Claims] 1. A storage unit for storing at least two of a CPU time, a CPU usage rate, and an elapsed time and a start condition for each batch job executed by an information processing device, and a storage unit responsive to an input from an input device. Then, the information stored in the storage means is corrected, and / or at least two of the CPU time, the CPU usage rate, and the elapsed time regarding the new batch job and the start condition are added to obtain the job information to be predicted. According to the job information generation unit to be generated and the prediction target job information generated by the job information generation unit, for each unit time after the business start time, the batch job to be newly started is determined, and is executed within the unit time. C that can be actually assigned to each batch job
Calculation means for calculating the end time of each batch job by calculating the PU usage rate and accumulating the CPU time of each batch job based on the calculation result, and each batch job calculated by the calculation means And an output unit that outputs the end time of the job from the output device. 2. An online program executed by an information processing device
A storage unit that stores the CPU usage rate for each unit time related to the job, at least two of the CPU time, the CPU usage rate, and the elapsed time related to each batch job and the start condition, and responds to the input from the input device. And / or modify the information stored in the storage means, and / or add at least two of the CPU time, the CPU usage rate, and the elapsed time for the new batch job and the start condition to obtain the job information to be predicted. According to the job information generation unit to be generated and the prediction target job information generated by the job information generation unit, for each unit time after the business start time, determination of a job to be newly started, online execution within the unit time C that can be actually assigned to each batch job based on the remaining CPU usage rate that secures the CPU usage rate of the job Calculation means for calculating the end time of each batch job by calculating the U usage rate and accumulating the CPU time of each batch job based on the calculation result, and each batch job calculated by the calculation means And an output unit that outputs the end time of the job from the output device. 3. The CPU usage rate as a specific day processing frame is stored in the storage means, and the calculation means receives the designation of the specific day processing from the input device, thereby the CPU as the specific day processing frame. CP that can secure the CPU usage rate of the online job from the remaining CPU usage rate for which the usage rate has been secured, and that can be actually assigned to each batch job from the remaining CPU usage rate
The job execution status prediction device according to claim 2, having a configuration for calculating a U usage rate.