The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 28, 2014

Filed:

Apr. 20, 2012
Applicants:

Rashed Ferdous, Rochester, MN (US);

Arthur J Meyer, Iii, Oronoco, MN (US);

Carlos P Sosa, Eagan, MN (US);

Inventors:

Rashed Ferdous, Rochester, MN (US);

Arthur J Meyer, III, Oronoco, MN (US);

Carlos P Sosa, Eagan, MN (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 9/50 (2006.01); G06F 11/30 (2006.01); G06F 11/34 (2006.01); G06F 11/00 (2006.01);
U.S. Cl.
CPC ...
G06F 11/3442 (2013.01); G06F 11/3409 (2013.01); G06F 11/3452 (2013.01); G06F 2209/503 (2013.01); G06F 11/004 (2013.01); G06F 2209/508 (2013.01); G06F 9/5044 (2013.01); G06F 9/505 (2013.01);
Abstract

Techniques used to enhance the execution of long-running or complex software application instances and jobs on computing systems. In one embodiment, inadequate system resources and failure of a job execution on the computing system may be predicted. A determination may be made as to whether inadequate resources exist prior to execution of the job, and resource requirements may be monitored to detect in real time if inadequate resources will be encountered during the job execution for cases where, for example, resource availability has unexpectedly decreased. If a resource deficiency is predicted on the executing computer system, the job may be paused and corrective action may be taken or a user may be alerted. The job may resume after the resource deficiency is met. Additional embodiments may integrate resource monitoring with the adaptive selection of a computer system or application execution environment based on resource capability predictions and benchmarks.


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