IMPACT ANALYSIS METHOD, IMPACT ANALYSIS APPARATUS AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM

• US 20140149169A1
• Filed: 06/08/2011
• Published: 05/29/2014
• Est. Priority Date: 06/08/2011
• Status: Abandoned Application

• Current Assignee: Hitachi, Ltd.
• Original Assignee: Hitachi, Ltd.
• Inventors: Nakano, Ryo
• Application Number:
  US14/006,228
• Publication Number:
  US 20140149169A1
• Time in Patent Office: Days
• US Class Current: 705/7.22
• CPC Class Codes: G06F 11/3051 Monitoring arrangements for monitoring the configuration of the computing system or of the computing system component, e.g. monitoring the presence of processing resources, peripherals, I/O links, software programs verification or detection of system hardware configuration G06F11/2247
• CPC Class Codes: G06F 11/3419 by assessing time
• CPC Class Codes: G06F 11/3466 Performance evaluation by tracing or monitoring
• CPC Class Codes: G06F 2201/865 Monitoring of software
• CPC Class Codes: G06Q 10/06312 Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling

Abstract

Provided is an impact analysis method in which a management computer acquires configuration information that defines configuration elements of the hardware and configuration elements of the software, and relation information between the configuration elements of the hardware and the configuration elements of the software, influence definition information that defines influences among the configuration elements of the configuration information, in time-series information that defines information related to operation of the software in time-series, and determines an influence of the configuration elements of the hardware on the configuration elements of the software on a basis of operation states in time-series defined by the time-series information from the relation information and the influence definition information to determine a configuration element of the software that is influenced by the hardware among the configuration elements of the software in the time band.

Claims

1. An impact analysis method in which a management computer including a processor and a memory analyzes an influence on software from hardware in a computer system, the method comprising:

a first step in which the management computer receives a time band for which the analysis is conducted;

a second step in which the management computer acquires configuration information that defines configuration elements of the hardware and configuration elements of the software, and relation information between the configuration elements of the hardware and the configuration elements of the software;

a third step in which the management computer acquires influence definition information that defines influences among the configuration elements of the configuration information;

a fourth step in which the management computer reads in time-series information that defines information related to operation of the software in time-series;

a fifth step in which the management computer determines an influence of the configuration elements of the hardware on the configuration elements of the software on a basis of operation states in time-series defined by the time-series information from the relation information and the influence definition information to determine a configuration element of the software that is influenced by the hardware among the configuration elements of the software in the time band; and

a sixth step in which the management computer outputs the configuration element of the software that is influenced by the hardware in time-series including the time band.

2. An impact analysis method according to claim 1, wherein:

in the fourth step, schedule information in which times of executing the configuration elements of the software are defined in time-series is acquired as the time-series information; and

in the fifth step, a configuration element of the software executed in the time band is determined based on the schedule information to determine the configuration element of the software that is influenced.

3. An impact analysis method according to claim 1, wherein:

in the fourth step, influence coefficient information in which an influence coefficient relative to a business provided by a configuration element of the software when a configuration element of the hardware that executes the configuration element of the software is stopped is defined in time-series for each of the configuration elements is acquired as the time-series information; and

in the fifth step, the configuration element of the software that is influenced by the hardware among the configuration elements of the software is determined within the time band and the influence coefficient is configured in time-series in the time band.

4. An impact analysis method according to claim 1, wherein:

in the fourth step, schedule information in which times of executing the configuration elements of the software are defined in time-series, and influence coefficient information in which an influence coefficient relative to a business provided by a configuration element of the software when a configuration element of the hardware that executes the configuration element of the software is stopped is defined in time-series for each of the configuration elements are acquired as the time-series information; and

in the fifth step, the configuration element of the software that is executed in the time band is determined based on the schedule information and the influence coefficient is configured in time-series in the time band.

5. An impact analysis method according to claim 2, further comprising a sixth step in which a configuration element of the hardware that has no influence on the software among the configuration elements of the hardware is determined in time-series in the time band.

6. An impact analysis method according to claim 3, further comprising a seventh step in which a configuration element of the hardware that has no influence on the software among the configuration elements of the hardware is determined in time-series in the time band.

7. An impact analysis method according to claim 4, further comprising an eighth step in which a configuration element of the hardware that has no influence on the software among the configuration elements of the hardware is determined in time-series in the time band.

8. An impact analysis method according to claim 2, wherein:

in the first step, the time band is received as a time band in which a failure occurs; and

in the fifth step, the configuration element of the software that is influenced by the failure from the hardware among the configuration elements of the software is determined in time-series in the time band where the failure occurs.

9. An impact analysis apparatus including a processor and a memory for analyzing an influence of hardware in a computer system on software, the apparatus comprising:

an input part configured to receive a time band for which the analysis is conducted;

a configuration information acquisition part configured to acquire configuration information that defines configuration elements of the hardware and configuration elements of the software, relation information between the configuration elements of the hardware and the configuration elements of the software, and influence definition information that defines influences among the configuration elements of the configuration information;

a time-series information acquisition part configured to acquire time-series information that defines information related to operation of the software in time-series; and

an influence analysis part configured to determine an influence of the configuration elements of the hardware on the configuration elements of the software on a basis of operation states in time-series defined by the time-series information from the relation information and the influence definition information to determine a configuration element of the software that is influenced by the hardware among the configuration elements of the software in the time band, wherein the influence analysis part outputs the configuration element of the software that is influenced by the hardware in time-series including the time band.

10. An impact analysis apparatus according to claim 9, wherein:

the time-series information is schedule information in which times of executing the configuration elements of the software are defined in time-series; and

the influence analysis part determines a configuration element of the software executed in the time band based on the schedule information to determine the configuration element of the software that is influenced.

11. An impact analysis apparatus according to claim 9, wherein:

the time-series information is influence coefficient information in which an influence coefficient relative to a business provided by a configuration element of the software when a configuration element of the hardware that executes the configuration element of the software is stopped is defined in time-series for each of the configuration elements; and

the influence analysis part determines the configuration element of the software that is influenced by the hardware among the configuration elements of the software in the time band and the influence coefficient is configured in time-series in the time band.

12. An impact analysis apparatus according to claim 9, wherein:

the time-series information includes schedule information in which times of executing the configuration elements of the software are defined in time-series, and influence coefficient information in which an influence coefficient relative to a business provided a the configuration element of the software when a configuration element of the hardware that executes the configuration element of the software is stopped is defined in time-series for each of the configuration elements; and

the influence analysis part determines the configuration element of the software that is executed in the time band based on the schedule information and the influence coefficient is configured in time-series in the time band.

13. An impact analysis apparatus according to claim 10, further comprising a release plan part for determining a configuration element of the hardware that has no influence on the software among the configuration elements of the hardware in time-series in the time band.

14. An impact analysis apparatus according to claim 11, further comprising a release plan part for determining a configuration element of the hardware that has no influence on the software among the configuration elements of the hardware in time-series in the time band.

15. A non-transitory computer-readable storage medium storing a program for analyzing an influence of hardware in a computer system on software, the program causing a computer to execute the steps of:

a first step of receiving a time band for which the analysis is conducted;

a second step of acquiring configuration information that defines configuration elements of the hardware and configuration elements of the software, and relation information between the configuration elements of the hardware and the configuration elements of the software;

a third step of acquiring influence definition information that defines influences among the configuration elements of the configuration information;

a fourth step of reading in time-series information that defines information related to operation of the software in time-series;

a fifth step of determining an influence of the configuration elements of the hardware on the configuration elements of the software on a basis of operation states in time-series defined by the time-series information from the relation information and the influence definition information to determine a configuration element of the software that is influenced by the hardware among the configuration elements of the software in the time band; and

a sixth step of outputting the configuration element of the software influenced by the hardware in time-series including the time band.