MAPPING LOG SETS BETWEEN DIFFERENT LOG ANALYSIS TOOLS IN A PROBLEM DETERMINATION ENVIRONMENT

• US 20090063395A1
• Filed: 08/30/2007
• Published: 03/05/2009
• Est. Priority Date: 08/30/2007
• Status: Abandoned Application

• Current Assignee: Kyndryl Incorporated
• Original Assignee: International Business Machines Corporation
• Inventors: Knight, Christine N., Klump, Nellie, Labadie, Eric
• Application Number:
  US11/847,514
• Publication Number:
  US 20090063395A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 11/0709 in a distributed system consisting of a plurality of standalone computer nodes, e.g. clusters, client-server systems
• CPC Class Codes: G06F 11/079 Root cause analysis, i.e. error or fault diagnosis in a hardware test environment G06F11/22; in a software test environment G06F11/36

Abstract

A method is provided for mapping analysis data between a first data analysis tool configured to interpret analysis data expressed in a first format to a second data analysis tool configured to interpret analysis data expressed in a second format. The method comprises receiving a set of analysis data expressed in the first format from the first data analysis tool; receiving an indication of the second format; identifying a set of common analysis data from the set of analysis data using a set of common analysis data properties and a first context, the first context providing a set of rules for expressing the set of common analysis data properties in the first format; and generating a representation of the set of common analysis data in the second format using a second context. The first context provides a set of rules for expressing the set of common analysis data properties in the first format. The second context provides a set of rules for expressing the set of common analysis data properties in the second format.

Claims

1. A method for mapping analysis data between a first data analysis tool configured to interpret analysis data expressed in a first format to a second data analysis tool configured to interpret analysis data expressed in a second format, the method comprising:

receiving a set of analysis data expressed in the first format from the first data analysis tool;

receiving an indication of the second format;

identifying a set of common analysis data from the set of analysis data using a set of common analysis data properties and a first context, the first context providing a set of rules for expressing the set of common analysis data properties in the first format; and

generating a representation of the set of common analysis data in the second format using a second context, the second context providing a set of rules for expressing the set of common analysis data properties in the second format.

2. The method of claim 1, further comprising sending the representation of the set of common analysis data in the second format to the second data analysis tool.

3. The method of claim 1, further comprising adding a set of context properties specific to the second format to the representation of the set of common analysis data in the second format using a third context, the third context providing a set of rules for expressing the set of context properties in the second format.

4. The method of claim 1, wherein the set of analysis data comprises a logically related set of log files containing problem determination data, and wherein the first and second data analysis tools are problem determination log file analysis tools.

5. The method of claim 1, wherein the first context is at least partially provided by pre-defined default settings.

6. The method of claim 1, further comprising receiving at least part of the first or second context.

7. The method of claim 6, wherein the at least part of the first or second context is specified by a user.

8. The method of claim 6, wherein the at least part of the first or second context is specified by context information within the first or second analysis tool.

9. The method of claim 1, wherein the first and second formats are XML formats, and wherein the first and second contexts are XML Schema Definitions.

10. The method of claim 1, wherein the method is performed by a web service on a web service application provider.

11. The method of claim 10, wherein the method is performed by the web service using operations provided a Web Services Description Language interface.

12. A computer-usable medium having computer readable instructions stored thereon for execution by a processor to perform a method for mapping analysis data between a first data analysis tool configured to interpret analysis data expressed in a first format to a second data analysis tool configured to interpret analysis data expressed in a second format, the method comprising:

receiving a set of analysis data expressed in the first format from the first data analysis tool;

receiving an indication of the second format;

identifying a set of common analysis data from the set of analysis data using a set of common analysis data properties and a first context, the first context providing a set of rules for expressing the set of common analysis data properties in the first format; and

generating a representation of the set of common analysis data in the second format using a second context, the second context providing a set of rules for expressing the set of common analysis data properties in the second format.

13. A data processing system comprising:

a central processing unit;

a random access memory for storing data and programs for execution by the central processing unit;

a first storage level comprising a nonvolatile storage device; and

computer readable instructions stored in the random access memory for execution by central processing unit to perform a program for mapping analysis data between a first data analysis tool configured to interpret analysis data expressed in a first format to a second data analysis tool configured to interpret analysis data expressed in a second format, the method comprising;

receiving a set of analysis data expressed in the first format from the first data analysis tool;

receiving an indication of the second format;

identifying a set of common analysis data from the set of analysis data using a set of common analysis data properties and a first context, the first context providing a set of rules for expressing the set of common analysis data properties in the first format; and

generating a representation of the set of common analysis data in the second format using a second context, the second context providing a set of rules for expressing the set of common analysis data properties in the second format.