Method and apparatus for a self-adjusting calibrator

• US 9,684,556 B2
• Filed: 10/12/2015
• Issued: 06/20/2017
• Est. Priority Date: 10/12/2015
• Status: Active Grant

• Current Assignee: Bank of America Corp.
• Original Assignee: Bank of America Corp.
• Inventors: Purushothaman, Sasidhar, Gunasekaran, Srikarthik, Sharma, Tanvir
• Primary Examiner(s): Lottich, Joshua P
• Application Number:
  US14/880,374
• Publication Number:
  US 20170102980A1
• Time in Patent Office: 617 Days
• CPC Class Codes: G06F 11/0709 in a distributed system consisting of a plurality of standalone computer nodes, e.g. clusters, client-server systems
• CPC Class Codes: G06F 11/0751 Error or fault detection not based on redundancy power supply failures G06F1/30; network fault management H04L41/06
• CPC Class Codes: G06F 11/0754 by exceeding limits
• CPC Class Codes: G06F 11/0772 Means for error signaling, e.g. using interrupts, exception flags, dedicated error registers
• CPC Class Codes: G06F 11/0787 Storage of error reports, e.g. persistent data storage, storage using memory protection
• CPC Class Codes: G06F 11/079 Root cause analysis, i.e. error or fault diagnosis in a hardware test environment G06F11/22; in a software test environment G06F11/36
• CPC Class Codes: G06F 11/0793 Remedial or corrective actions recovery from an exception in an instruction pipeline G06F9/3861; by retry G06F11/1402; for recovering from a failure of a protocol instance or entity H04L69/40
• CPC Class Codes: G06F 11/34 Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment

Abstract

A self-adjusting calibrator is provided. The calibrator may include a calibrator datastore. The calibrator datastore may store assimilated performance data. The assimilated performance data may relate to a collection of configuration items. The calibrator datastore may also store performance metrics. The performance metrics may map historic error events in a system to a plurality of configuration items. The calibrator may also include an optimal value computation engine. The optimal value computation engine may be in communication with the calibrator datastore. The optimal value computation engine may determine an optimal threshold value for each configuration item in the collection of configuration items. The optimal threshold value may enable a receiver, which may be associated with calibrator datastore, to receive true error event information that occurred in the system. The optimal threshold value may also prevent the receiver from receiving false error event information that occurred in the system.

Claims

1. A method for calibration, the method comprising:

receiving a plurality of error events at a continuous error data pooler;

analyzing each event included in the plurality of error events;

assigning, based on the analyzing, each event included in the plurality of events, to at least one configuration item, said at least one configuration item selected from a plurality of configuration items;

reducing a threshold effectiveness level associated with a configuration item included in the plurality of configuration items in response to receipt of an error event, included in the plurality of error events, which is a not a true error event and the error event caused a maximum error event tally to reach a predetermined number;

reducing the threshold effectiveness level upon receipt of notification that a true error failed to be detected by the continuous data pooler.

2. The method of claim 1, further comprising increasing a threshold, associated with the threshold effectiveness level, when the threshold effectiveness level was reduced in response to the receipt of the error event which is not a true error event and the error event caused the maximum error event tally to reach a predetermined number.

3. The method of claim 2, further comprising decreasing a threshold, associated with the threshold effectiveness level, when the threshold effectiveness level was reduced upon receipt of notification that the true error failed to be detected by the continuous data pooler.

4. The method of claim 3, further comprising displaying, on a Graphical User Interface (“

GUI”

), a table comprising the plurality of configuration items, the threshold effectiveness level for each configuration item and the threshold level for each configuration item.

5. The method of claim 4, further comprising displaying a recommended threshold for each configuration item.

6. The method of claim 5, further comprising adjusting the threshold, for each configuration item, to the recommended threshold.