Eliminating execution of jobs-based operational costs of related reports

Patent metadata

Field	Value
Publication number	US-2016357606-A1
Application number	US-201615246577-A
Country	US
Kind code	A1
Filing date	Aug 25, 2016
Priority date	Nov 25, 2013
Publication date	Dec 8, 2016
Grant date	—

Abstract

Optimizing operational costs in a computing environment includes identifying high-cost jobs that are executed to generate one or more reports in the computing environment, identifying one or more reports the generation of which is dependent on the execution of the high-cost jobs, and culling at least a first job from among the high-cost jobs, in response to determining that a benefit achieved from the reports that depend on the first job does not justify costs associated with generating the reports.

First claim

What is claimed is:

1 . A method for optimizing operational costs in a computing environment, the method comprising:
identifying, via a computer processor, high-cost jobs from among a plurality of jobs that are executed by one or more computing devices in the computing environment to generate one or more reports in the computing environment, the high-cost jobs determined as a function of resource usage of resources in the computing environment, wherein the resource usage comprises at least one of CPU usage, data storage usage, memory usage, and network bandwidth usage; identifying, via the computer processor, one or more reports the generation of which is dependent on the execution of the high-cost jobs; and culling, via the computer processor, at least a first job from among the high-cost jobs, in response to determining that a benefit achieved from the reports that depend on the first job does not justify costs associated with generating the reports, wherein costs associated with a report are calculated based on aggregated cost of jobs on which the report depends, and wherein the cost of the individual job is determined by: if the job is not executing during the highest peak of resource usage, then its individual cost is zero; if the job is executing during the highest peak of resource usage but is needed by other reports too, then its individual cost is zero; and if the job is executing during the highest peak of resource usage and is only needed by a particular report, then the job cost is added to the report's individual job cost.

Assignees

• IBM

Inventors

• Fankhauser Michael
• Haber Marc N
• Halberstadt Benjamin
• Hecker Roger K

Classifications

• G06Q10/0631 Primary

  Resource planning, allocation, distributing or scheduling for enterprises or organisations · CPC title

• G06F16/254

  Extract, transform and load [ETL] procedures, e.g. ETL data flows in data warehouses · CPC title

• G06Q10/0637

  Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals · CPC title

• G06F9/4881

  Scheduling strategies for dispatcher, e.g. round robin, multi-level priority queues · CPC title

• G06Q10/0639

  Performance analysis of employees; Performance analysis of enterprise or organisation operations · CPC title