International Business Machines Corporation

Peter Wai Yee Wong

Santhosh Rao

Flavio Alvarenga Bergamaschi

Duy Q Huynh

Kenneth Michael Ashcraft

Erin Christine Burke

Viktors Bertsis

Duc J Vianney

Maynard Paul Johnson

Richard Charles Hendrickson

A method, system, and computer usable program product for a smart profiler are provided in the illustrative embodiments. An allowable number of interrupts for use by a profiler application is determined. A count number for a counter is determined. The counter is configured to count occurrences of an event in a data processing system up to the count number. An interrupt is raised when the counter has counted the occurrences of the event up to the count number. The interrupt is processed. The counting of occurrences of the event, raising the interrupt, and processing the interrupt are repeated for a predetermined time. A decision is made whether a total number of interrupts raised in the predetermined period differs from the allowable number. The count number of the counter is adjusted to cause the difference between the total number of interrupts in the predetermined period and the allowable number to decrease.

Smart profiler

A computer implemented method, data processing system, and computer usable code are provided for analyzing input/output problems. A monitoring agent collects input/output data from a plurality of levels in a multi-level input/output stack. The monitoring agent analyzes the input/output data from the plurality of levels to form an analysis. A determination is then made as to whether the analysis requires an action and an action is initiated in response to a determination that the analysis requires an action.

Framework for automatically analyzing I/O performance problems using multi-level analysis

A method and system to minimize to redundancy in testing a new software system by utilizing a knowledge base is provided. The knowledge base may be represented in a form of a decision tree including leaf nodes which store previously tested optimal configurations. When the knowledge base does not contain an optimal configuration for the new software, an optimal solution for the new software system may be determined by adding a further decision tree branch to the initial decision tree. A desirable tree branch may be selected from a table including a predetermined set of desirable tree branches for each category of software. As a result, the number of solutions to be tested on the input software may be limited and cost and effort to run redundant tests on a software system may be reduced.

Method and system for optimizing configuration classification of software

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Austin, TX, United States of America

Peter Wai Yee Wong