AUTOMATIC LOG SENSOR TUNING

• US 20150094990A1
• Filed: 06/18/2014
• Published: 04/02/2015
• Est. Priority Date: 09/27/2013
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Beisiegel, Michael, Joseph, Dinakaran, Nadgir, Devaprasad K.
• Granted Patent: US 9,449,072 B2
• Time in Patent Office: Days
• US Class Current: 702/189
• CPC Class Codes: G06F 16/217 Database tuning G06F16/2282 takes precedence; database performance monitoring G06F11/3409
• CPC Class Codes: G06F 16/285 Clustering or classification
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: H04L 41/069 using logs of notifications; Post-processing of notifications
• CPC Class Codes: H04L 67/02 based on web technology, e.g. hypertext transfer protocol [HTTP]
• CPC Class Codes: H04Q 2209/823 where the data is sent when the measured values exceed a threshold, e.g. sending an alarm
• CPC Class Codes: H04Q 9/00 Arrangements in telecontrol or telemetry systems for selectively calling a substation from a main station, in which substation desired apparatus is selected for applying a control signal thereto or for obtaining measured values therefrom

Abstract

A process for automatic tuning a set of collectors and/or sensors includes: collecting first machine data by a first sensor in a collection framework, processing the first machine data by a first collector in the collection framework to yield first collected machine data, performing analytics on the first collected machine data to generate analytics output, and tuning, based, at least in part, on the analytics output, at least one of the following: the first sensor and the first collector.

Claims

1. A method comprising:

collecting first machine data by a first sensor in a collection framework;

processing the first machine data by a first collector in the collection framework to yield first collected machine data;

performing analytics on the first collected machine data to generate analytics output; and

tuning, based, at least in part, on the analytics output, at least one of the following;

the first sensor and the first collector.

2. The method of claim 1 wherein:

the tuning tunes the first sensor;

the method further comprising;

collecting advanced information by the first sensor in its tuned state.

3. The method of claim 1 wherein:

the tuning tunes the first collector;

the method further comprising;

processing advanced information by the first collector in its tuned state.

4. The method of claim 1 wherein:

the performance of analytics occurs in real time; and

the tuning occurs in real time.

5. The method of claim 1 wherein the performance of analytics is performed by pipe analytics using a single thread request/response paradigm.

6. The method of claim 1 further comprising:

determining an alert condition;

wherein;

the performance of analytics is performed in response to the alert condition.