A prediction apparatus predicts an upper limit of the number of job executions per unit period in a system which executes a job responding to a request from outside. The prediction apparatus firstly acquires a sample data regarding the job. The sample data to be acquired is a sample data from which the number of job executions for each unit period in the past can be identified. Then, based on a distribution of the number of job executions identified from the sample data, the upper limit of the number of job executions per unit period in the future is predicted. Thereafter, the predicted upper limit is outputted.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A prediction apparatus that predicts an upper limit of a momentary number of jobs, the momentary number of jobs being a number of job executions in a short time period for a system executing a job responding to a request from outside, comprising: an acquisition device that acquires a sample data regarding the job, from which a number of job executions for each unit period in a past can be identified, and a concentration ratio for each unit period in the past can be further identified, the concentration ratio being a ratio of a largest momentary number of jobs in the unit period to the number of job executions in the unit period; a jobs distribution calculation device that calculates a probability distribution of the number of jobs per unit period, based on the number of job executions for each unit period identified from the sample data; a concentration ratio distribution calculation device that calculates a probability distribution of the concentration ratio, based on the concentration ratio for each unit period identified from the sample data; and a prediction device that predicts the upper limit of the momentary number of jobs, based on an occurrence probability P(A) for each value A of the number of job executions per unit period identified from the probability distribution of the number of job executions and an occurrence probability P(B) for each value B of the concentration ratio identified from the probability distribution of the concentration ratio, and outputs the predicted upper limit. 2. The prediction apparatus according to claim 1, wherein the prediction device calculates, based on the occurrence probability P(A) for each value A of the number of job executions per unit period and the occurrence probability P(B) for each value B of the concentration ratio, for each combination (A, B) of the value A and the value B, an occurrence probability P(A)·P(B) of the momentary number of jobs Qs=A·B corresponding to the combination, and predicts a minimum value of the momentary number of jobs Qs in a range where a cumulative probability is greater than a specific probability to be the upper limit of the momentary number of jobs, the cumulative probability being a cumulative probability of the momentary number of jobs Qs and changing in accordance with the momentary number of jobs Qs, which functions as a variable, wherein the cumulative probability is calculated by accumulating the occurrence probability P(A)·P(B) for each combination (A, B) in ascending order of a value of the momentary number of jobs Qs, up to a value of the momentary number of jobs Qs corresponding to the variable. 3. The prediction apparatus according to claim 1, wherein at least one of the jobs distribution calculation device and the concentration ratio distribution calculation device calculates the corresponding probability distribution with an action of correction to show unimodality. 4. The prediction apparatus according to claim 1, wherein the system executes a transaction responding to a request from outside as the job, and the prediction device predicts, as the upper limit of the momentary number of jobs, the upper limit of a momentary number of transactions, that is a number of transactions in a short time period in the system. 5. The prediction apparatus according to claim 1, wherein the system is an information processing system in which an operation unit executes the job, and the prediction apparatus includes an operation units calculation device that calculates a number of operation units necessary for the information processing system, based on a number of jobs which can be simultaneously processed per operation unit and the upper limit of the momentary number of jobs predicted by the prediction device, and outputs the calculated number of operation units. 6. A recording medium that is computer-readable and records a program which causes a computer to execute processing that predicts an upper limit of a momentary number of jobs, the momentary number of jobs being a number of job executions in a short time period in a system executing a job responding to a request from outside, the processing comprising: a procedure that acquires a sample data regarding the job, from which a number of job executions for each unit period in a past can be identified, and a concentration ratio for each unit period in the past can be further identified, the concentration ratio being a ratio of a largest momentary number of jobs in the unit period to the number of job executions in the unit period; a procedure that calculates a probability distribution of the number of jobs per unit period, based on the number of job executions for each unit period identified from the sample data; a procedure that calculates a probability distribution of the concentration ratio, based on the concentration ratio for each unit period identified from the sample data; and a procedure that predicts the upper limit of the momentary number of jobs, based on an occurrence probability P(A) for each value A of the number of job executions per unit period identified from the probability distribution of the number of job executions and an occurrence probability P(B) for each value B of the concentration ratio identified from the probability distribution of the concentration ratio, and outputting the predicted upper limit. 7. A prediction method that predicts an upper limit of a momentary number of jobs, the momentary number of jobs being a number of job executions in a short time period in a system executing a job responding to a request from outside, comprising: an acquisition procedure that acquires a sample data regarding the job, from which a number of job executions for each unit period in a past can be identified, and a concentration ratio for each unit period in the past can be further identified, the concentration ratio being a ratio of a largest momentary number of jobs in the unit period to the number of job executions in the unit period; a jobs distribution calculation procedure that calculates a probability distribution of the number of job executions per unit period, based on the number of job executions for each unit period identified from the sample data; a concentration ratio distribution calculation procedure that calculates a probability distribution of the concentration ratio, based on the concentration ratio for each unit period identified from the sample data; and a prediction procedure that predicts the upper limit of the momentary number of jobs, based on an occurrence probability P(A) for each value A of the number of job executions per unit period identified from the probability distribution of the number of job executions and an occurrence probability P(B) for each value B of the concentration ratio identified from the probability distribution of the concentration ratio, and outputs the predicted upper limit. 8. The prediction method according to claim 7, wherein the prediction procedure is a procedure that: calculates, based on the occurrence probability P(A) for each value A of the number of job executions per unit period and the occurrence probability P(B) for each value B of the concentration ratio, for each combination (A, B) of the value A and the value B, an occurrence probability P(A)·P(B) of the momentary number of jobs Qs=A·B corresponding to the combination, and predicts a minimum value of the momentary number of jobs Qs in a range where a cumulative probability is greater than a specific probability to be the upper limit of the momentary number of jobs, the cumulative probability being a cumulative probability of the momentary number of jobs Qs and changing in accordance with the momentary number of jobs Qs, which functions as a variable, wherein the cumulative probability is calculated by accumulating the occurrence probability P(A)·P(B) for each combination (A, B) in ascending order of a value of the momentary number of jobs Qs, up to a value of the momentary number of jobs Qs corresponding to the variable. 9. The prediction method according to claim 7, wherein at least one of the jobs distribution calculation procedure and the concentration ratio distribution calculation procedure is a procedure that calculates the corresponding probability distribution with an action of correction to show unimodality.