Analysis method, analysis apparatus and computer-readable recording medium having stored therein analysis program

• US 9,720,751 B2
• Filed: 03/25/2015
• Issued: 08/01/2017
• Est. Priority Date: 04/18/2014
• Status: Active Grant

• Current Assignee: Fujitsu Limited
• Original Assignee: Fujitsu Limited
• Inventors: Hotta, Yuuji
• Primary Examiner(s): Wilson, Yolanda L
• Application Number:
  US14/668,141
• Publication Number:
  US 20150301866A1
• Time in Patent Office: 860 Days
• CPC Class Codes: G06F 11/00 Error detection; Error correction; Monitoring error detection, correction or monitoring in information storage based on relative movement between record carrier and transducer G11B20/18; monitoring, i.e. supervising the progress of recording or reproducing G11B27/36; in static stores G11C29/00
• CPC Class Codes: G06F 11/3466 Performance evaluation by tracing or monitoring
• CPC Class Codes: G06F 11/3476 Data logging G06F11/14, G06F11/2205 take precedence
• CPC Class Codes: H04L 41/5009 Determining service level performance parameters or violations of service level contracts, e.g. violations of agreed response time or mean time between failures [MTBF]

Abstract

Relating to services each including a plurality of processes having a plurality of hierarchies, service information is stored in which processes for each service are grouped in a predetermined hierarchy taking presence or absence of a common hierarchy into consideration. Then, based on log data and the service information relating to a plurality of services, a first decision process for deciding presence or absence of an abnormality relating to a process included in one or more services is performed. Further, a second decision process is performed for developing, where a process decided as an abnormal process is a grouped grouping process, the grouping process decided as an abnormal process to one or more processes in a lower hierarchy than the predetermined hierarchy based on the service information and deciding presence or absence of an abnormality relating to the one or more developed processes.

Claims

1. An analysis method, comprising:

storing, relating to services each including a plurality of modules having a plurality of hierarchical process levels, service information in which modules for each service are grouped in a predetermined process level taking presence or absence of a common process level into consideration;

performing, based on log data and the service information relating to a plurality of services, a first decision process for deciding presence or absence of an abnormality relating to a module included in one or more services; and

performing a second decision process for developing, where a module decided as an abnormal module is a grouped grouping module, the grouping module decided as an abnormal module to one or more modules in a lower process level than the predetermined process level based on the service information and deciding presence or absence of an abnormality relating to the one or more developed modules.

2. The analysis method according to claim 1, wherein the service information includes, for each service, first information with which a grouping module included in the service is associated;

and

the analysis method further comprises storing a first grouping module included in a first service; and

a second grouping module which is included in a second service and in which one or more but less than all of the plurality of grouped modules is common to that of the first grouping module, distinguishably from each other in the first information.

3. The analysis method according to claim 1, wherein the service information includes second information indicating a module included in the grouping module for each grouped process level;

and

the performing of the first decision process decides presence or absence of an abnormality relating to the grouping module from among the modules included in the one or more services after development to one or more modules in the lower process level than the predetermined process level is performed based on the second information.

4. The analysis method according to claim 1, wherein the service information includes second information indicating a module included in the grouping module for each grouped process level;

and

the analysis method further comprises;

storing a processing result of the second decision process; and

varying the predetermined process level into a different process level based on the stored processing result.

5. The analysis method according to claim 1, wherein the service information includes second information indicating a module included in the grouping module for each grouped process level;

and

the analysis method further comprises;

storing a processing result of the second decision process; and

dividing a predetermined grouping module into a plurality of grouping modules based on the stored processing result.

6. The analysis method according to claim 1, wherein, the performing of the second decision process develops, where the module decided as an abnormal module is a grouping module, the module decided as an abnormal module stepwise to one or more modules in a lower process level;

and decides presence or absence of an abnormality relating to the one or more developed modules, the stepwise development being performed until a result of the decision that the module decided as an abnormal module is not a grouping module any more is obtained.

7. The analysis method according to claim 1, wherein a time period interval within which both of a normal state and an abnormal state are not included at the same time in each service state is acquired based on the log data relating to the plurality of services;

and

the performing of the first decision process decides, presence or absence of an abnormality relating to the module included in one or more services executed within the acquired time period interval.

8. An analysis apparatus, comprising:

a storage unit configured to store, relating to services including a plurality of modules having a plurality of hierarchical process levels, service information in which modules for each service are grouped in a predetermined process level taking presence or absence of a common process level into consideration; and

a processor configured to;

perform, based on log data and the service information relating to a plurality of services, a first decision process for deciding presence or absence of an abnormality relating to a module included in one or more services; and

develop, where a module decided as an abnormal module is a grouped grouping module, the grouping module decided as an abnormal module to one or more modules in a lower process level than the predetermined process level based on the service information and decide presence or absence of an abnormality relating to the one or more developed modules.

9. The analysis apparatus according to claim 8, wherein the service information includes, for each service, first information with which a grouping module included in the service is associated;

and

the storage unit stores the first information in which a first grouping module included in a first service; and

a second grouping module which is included in a second service and in which one or more but less than all of the plurality of grouped modules is common to that of the first grouping module are set distinguishably from each other.

10. The analysis apparatus according to claim 8, wherein the service information includes second information indicating a module included in the grouping module for each grouped process level;

and

the processor decides presence or absence of an abnormality relating to the grouping module from among the module included in the one or more services after development to one or more modules in the lower process level than the predetermined process level is performed based on the second information.

11. The analysis apparatus according to claim 8, wherein the service information includes second information indicating a module included in the grouping module for each grouped process level;

the storage unit stores a processing result of the second decision process; and

the processor varies the predetermined process level into a different process level based on the stored processing result.

12. The analysis apparatus according to claim 8, wherein the service information includes second information indicating a module included in the grouping module for each grouped process level;

the storage unit stores a processing result of the second decision process; and

the processor divides a predetermined grouping module into a plurality of grouping modules based on the stored processing result.

13. The analysis apparatus according to claim 8, wherein, where the module decided as an abnormal module is a grouping module, the processor develops the module decided as an abnormal module stepwise to one or more modules in a lower process level and decides presence or absence of an abnormality relating to the one or more developed modules, the processing performing the development until a result of the decision that the module decided as an abnormal module is not a grouping module any more is obtained.

14. A non-transitory computer-readable recording medium having stored therein an analysis program for causing a computer to execute a process, the process comprising:

storing, relating to services each including a plurality of modules having a plurality of hierarchical process levels, service information in which modules for each service are grouped in a predetermined process level taking presence or absence of a common process level into consideration;

performing, based on log data and the service information relating to a plurality of services, a first decision process for deciding presence or absence of an abnormality relating to a module included in one or more services; and

performing a second decision process for developing, where a module decided as an abnormal module is a grouped grouping module, the grouping module decided as an abnormal module to one or more modules in a lower process level than the predetermined process level based on the service information and deciding presence or absence of an abnormality relating to the one or more developed modules.

15. The non-transitory computer-readable recording medium having stored therein an analysis program according to claim 14, wherein the service information includes, for each service, first information with which a grouping module included in the service is associated;

and

the process further comprises;

storing a first grouping module included in a first service; and

a second grouping module which is included in a second service and in which one or more but less than all of the plurality of grouped modules is common to that of the first grouping module, distinguishably from each other in the first information.

16. The non-transitory computer-readable recording medium having stored therein an analysis program according to claim 14, wherein the service information includes second information indicating a module included in the grouping module for each grouped process level;

and

the performing of the first decision process decides presence or absence of an abnormality relating to the grouping module from among the modules included in the one or more services after development to one or more modules in the lower process level than the predetermined process level is performed based on the second information.

17. The non-transitory computer-readable recording medium having stored therein an analysis program according to claim 14, wherein the service information includes second information indicating a module included in the grouping module for each grouped process level;

the process further comprises;

storing a processing result of the second decision process; and

varying the predetermined process level into a different process level based on the stored processing result.

18. The non-transitory computer-readable recording medium having stored therein an analysis program according to claim 14, wherein the service information includes second information indicating a module included in the grouping module for each grouped process level;

the process further comprises;

storing a processing result of the second decision process; and

dividing a predetermined grouping module into a plurality of grouping modules based on the stored processing result.

19. The non-transitory computer-readable recording medium having stored therein an analysis program according to claim 14, wherein, the performing of the second decision process develops, where the module decided as an abnormal module is a grouping module, the module decided as an abnormal module stepwise to one or more modules in a lower process level and decides presence or absence of an abnormality relating to the one or more developed modules, the stepwise development being performed until a result of the decision that the module decided as an abnormal module is not a grouping module any more is obtained.

20. The non-transitory computer-readable recording medium having stored therein an analysis program according to claim 14, wherein the process further comprises acquiring a time period interval within which both of a normal state and an abnormal state are not included at the same time in each service state based on the log data relating to the plurality of services;

and

the performing of the first decision process decides presence or absence of an abnormality relating to the module included in one or more services executed within the acquired time period interval.