US2018067839A1PendingUtilityA1

Using workload profiling and analytics to understand and score complexity of test environments and workloads

Assignee: IBMPriority: Sep 8, 2016Filed: Feb 10, 2017Published: Mar 8, 2018
Est. expirySep 8, 2036(~10.1 yrs left)· nominal 20-yr term from priority
G06F 11/3664G06Q 10/06393G06F 11/3676G06F 7/026G06F 11/3698G06F 11/3696
52
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Claims

Abstract

Aspects of the present invention include a method, system and computer program product determining, scoring and reporting the complexity of customer and test environments and workloads. The method includes a processor performing an accounting of factors related to complexity of a plurality of environments and workloads; determining one or more formulas to use for determining an overall score and ranking for each one of the plurality of environments and workloads; collecting relative environment and workload data; determining a complexity score for each one of the plurality of environments and workloads; and determining a complexity ranking for each one of the plurality of environments and workloads.

Claims

exact text as granted — not AI-modified
What is claimed is: 
     
         1 . A computer-implemented method comprising:
 performing, by a processor, an accounting of factors related to complexity of a plurality of environments and workloads;   determining, by the processor, one or more formulas to use for determining an overall score and ranking for each one of the plurality of environments and workloads;   collecting, by the processor, relative environment and workload data;   determining, by the processor, a complexity score for each one of the plurality of environments and workloads; and   determining, by the processor, a complexity ranking for each one of the plurality of environment and workloads.   
     
     
         2 . The computer-implemented method of  claim 1  further comprising determining, by the processor, to present in visual format the complexity score and the complexity ranking. 
     
     
         3 . The computer-implemented method of  claim 1  further comprising determining, by the processor, to present in report format the complexity score and the complexity ranking. 
     
     
         4 . The computer-implemented method of  claim 1  wherein performing, by a processor, an accounting of factors related to complexity of a plurality of environments and workload s comprises performing, by the processor, an accounting of factors related to complexity of a plurality of environments and workloads individually and/or collectively in various groupings. 
     
     
         5 . The computer-implemented method of  claim 1  wherein the factors related to complexity of a plurality of environments and workloads comprise environment configurations. 
     
     
         6 . The computer-implemented method of  claim 1  wherein collecting, by the processor, relative environment and workload data comprises techniques including environment and workload and operational questionnaires, interviews, workshops, deep dives, problem history analysis, social and traditional media analysis, empirical data analysis. 
     
     
         7 . The computer-implemented method of  claim 1  wherein determining, by the processor, a complexity ranking for each one of the plurality of environment and workloads comprises determining, by the processor, a complexity ranking of each environment and workload to be analyzed in relation to various previously collected customer and/or test environment and workload data and through a variety of customer and/or test groupings including a variety of classifications, including by geography, country, culture, industry, an overall global customer set and a test set.

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