Intelligent mapping of empirical data

• US 10,437,652 B2
• Filed: 11/04/2015
• Issued: 10/08/2019
• Est. Priority Date: 09/22/2015
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Prewitt, Jr., Richard D., Walle, Marna L.
• Primary Examiner(s): Fan, Shiow-Jy
• Application Number:
  US14/932,473
• Publication Number:
  US 20170083385A1
• Time in Patent Office: 1,434 Days
• Field of Search: 717131, 717132, 717133, 717143, 707736
• CPC Class Codes: G06F 11/3024 where the computing system component is a central processing unit [CPU]
• CPC Class Codes: G06F 11/3409 for performance assessment
• CPC Class Codes: G06F 9/542 Event management; Broadcasting; Multicasting; Notifications

Abstract

Embodiments of the present invention provide systems and methods for performing data analysis. Mapping analytics are applied on data which contains extensive information. Mapped building blocks are found by applying mapping analytics. These mapped building blocks help determine which functions are in use within a system. By determining which functions are in use within a system, a higher-level of functionality in use can also be determined.

Claims

1. A method for performing data analysis, the method comprising the steps of:

collecting, by one or more processors, a software execution data set, with the software execution data set including information indicative of existing management, measurement, and monitoring data from a first computer system;

connecting, by one or more processors, to a data consumption program, with the data consumption program being instructed to retrieve the existing management, measurement, and monitoring data from the first computer system, with the data consumption program being a migration profiler program that is programmed to reduce data migration failures during a data migration;

transforming, by one or more processors, the existing management, measurement, and monitoring data into a plurality of building blocks based on an iterative approach;

for each building block of the plurality of building blocks, determining, by one or more processors, a set of field information value(s); and

for each given building block of the plurality of building blocks;

mapping the set of field information value(s) of the given building block to a higher functionality, and

inputting the higher functionality of the given building block to the migration profiler program to produce a resultant block of data which includes critical information pertaining to migration capabilities.

2. The method of claim 1 further comprising:

notifying, by the migration profiler program, a system administrator which functions of products are installed in a system.

3. The method of claim 2 further comprising:

consolidating, by the migration profiler program, functions that are in use on the system.

4. The method of claim 3 further comprising:

determining, by the migration profiler program, whether a set of migration(s) is necessary.