Dynamically identifying performance anti-patterns
First Claim
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1. A computer-implemented method for identifying performance anti-patterns in a software system, comprising:
- using a processor device operably coupled with a global database, performing;
selecting a system node in evaluating the software system for presence of an anti-pattern, wherein the anti-pattern is a behavioral trend suggestive of a particular performance issue that is likely to lead to system failure;
providing collection parameters governing collection of data; and
iteratively performing the following at intervals, as per the collection parameters;
collecting the data as indicated by the collection parameters;
iteratively performing, for each anti-pattern documented in the global database associated with the selected system node;
selecting a diagnostic tool in association with the identified system node from the global database;
using the selected diagnostic tool, performing a behavioral trend analysis on the collected data to detect presence of the anti-pattern; and
responsive to detecting the presence of the anti-pattern;
adding the collected data to the global database in association with the anti-pattern; and
performing a remedial action as indicated in the global database, in association with the anti-pattern.
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Abstract
Dynamically identifying performance anti-patterns in a software system is based on a set of documented symptoms that are evaluated in real-time. The evaluation is based on the observed system behavior and its comparison against the documented symptoms of different types of performance issues.
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Citations
20 Claims
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1. A computer-implemented method for identifying performance anti-patterns in a software system, comprising:
using a processor device operably coupled with a global database, performing; selecting a system node in evaluating the software system for presence of an anti-pattern, wherein the anti-pattern is a behavioral trend suggestive of a particular performance issue that is likely to lead to system failure; providing collection parameters governing collection of data; and iteratively performing the following at intervals, as per the collection parameters; collecting the data as indicated by the collection parameters; iteratively performing, for each anti-pattern documented in the global database associated with the selected system node; selecting a diagnostic tool in association with the identified system node from the global database; using the selected diagnostic tool, performing a behavioral trend analysis on the collected data to detect presence of the anti-pattern; and responsive to detecting the presence of the anti-pattern;
adding the collected data to the global database in association with the anti-pattern; and
performing a remedial action as indicated in the global database, in association with the anti-pattern.- View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. An information processing system for identifying performance anti-patterns in a software system, comprising:
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a global database listing a plurality of anti-patterns, each anti-pattern associated with; a performance issue for which the anti-pattern is a symptom; a diagnostic tool used for diagnosing the performance issue; data collected as a result of applying the diagnostic tool; and a remedial action to perform when the anti-pattern is detected, wherein an anti-pattern is a behavioral trend suggestive of a particular performance issue that is likely to lead to system failure; a processor device operably coupled with the global database; and a memory operably coupled with the processor device, the memory comprising instructions that, when executed by the processor device, cause a computer to perform; selecting a system node from the software system for presence of an anti-pattern; providing collection parameters governing collection of the data from the system node; and iteratively performing the following at intervals, as per the collection parameters; collecting the data as indicated by the collection parameters; iteratively performing, for each anti-pattern documented in the database associated with the selected system node; selecting the diagnostic tool in association with the identified application from the global database; using the diagnostic tool as selected, performing a behavioral trend analysis on the collected data to detect presence of the anti-pattern; and responsive to detecting the presence of the anti-pattern;
adding the collected data to the global database in association with the anti-pattern; and
performing the remedial action as indicated in the global database. - View Dependent Claims (12, 13, 14, 15, 16, 17)
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18. A computer program product for identifying performance anti-patterns in a software system, the computer program product comprising:
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a storage medium readable by a processing circuit and storing instructions for execution by the processing circuit performing a method comprising; selecting a system node from the software system for presence of an anti-pattern, wherein the anti-pattern is a behavioral trend suggestive of a particular performance issue that is likely to lead to system failure; providing collection parameters governing collection of data; and iteratively performing the following at intervals, as per the collection parameters; collecting the data as indicated by the collection parameters; iteratively performing, for each anti-pattern documented in the global database associated with the selected system node; selecting a diagnostic tool in association with the identified system node from the global database; using the selected diagnostic tool, performing a behavioral trend analysis on the collected data to detect presence of the anti-pattern; and responsive to detecting the presence of the anti-pattern; adding the collected data to the global database in association with the anti-pattern; and performing a remedial action as indicated in the global database, in association with the anti-pattern. - View Dependent Claims (19, 20)
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Specification