US 9,755,925 B2Granted

Event driven metric data collection optimization

AssigneeOracle International Corporation

InventorsThyagaraju Poola, Venkata Ramana Karpuram, Vladimir Volchegursky, Madeline Mirzoeff

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Abstract

Systems, methods, and other embodiments associated with event driven metric data collection optimization are described. In one embodiment, a method includes providing a domain knowledge catalog that defines, for each of a plurality of source metrics: i) a plurality of target type relationships and ii) for each target type relationship, a plurality of metrics that are related to the source metric. For a particular system, a deployment topology is determined defines target entities that are included in the system, where the target entities comprise respective instances of a subset of the target type relationships. The method includes receiving configuration of an event related to a source metric. The domain knowledge catalog is accessed and metrics that are related to the subset of target type relationships for the source metric are selected for collection.

Claims20

Dependent claims

A non-transitory computer-readable storage medium storing computer-executable instructions that when executed by a computing machine cause the computing machine to:

store a domain knowledge catalog that defines, for each source metric of a plurality of source metrics:
(i) a plurality of target type relationships, where a target type relationship comprises a collection of one or more target types that cooperate to instantiate a target in a system;
and
ii) for each target type relationship, a plurality of metrics that are related to the source metric, where the source metric comprises a measure of an attribute of a target;
determine, for a particular system, a deployment topology that defines targets that are included in the system, where the deployment topology comprises a subset of the target type relationships;
identify an event related to a selected source metric;
select metrics for monitoring by:
in accessing the domain knowledge catalog;
(ii) selecting metrics that are related to the subset of target type relationships for the source metric;
and
(iii) determining a collection frequency for a metric based upon a minimum of a first collection frequency and a second collection frequency, where the first collection frequency is determined based at least in part on a duration of the event and where the second collection frequency is determined based at least in part on a time period between a first source metric value and a second source metric value in the event;
and
provide a recommendation to monitor the metrics selected for monitoring.

10 more elements

A computing system, comprising:

computer storage medium storing a domain knowledge catalog that defines, for each source metric of a plurality of source metrics:
(i) a plurality of target type relationships, where a target type relationship comprises a collection of one or more target types that cooperate to instantiate a target in a system;
and
(ii) for each target type relationship, a plurality of metrics that are related to the source metric, where the source metric comprises a measure of an attribute of a target;
recommendation logic configured to:
determine, for a particular system, a deployment topology that defines targets that are included in the system, where the deployment topology comprises a subset of the target type relationships;
identify an event related to a selected source metric;
select metrics for monitoring by:
(i) access the domain knowledge catalog;
(ii) select metrics that are related to the subset of target type relationships for the source metric;
and
(iii) determine a collection frequency for a metric based upon a minimum of a first collection frequency and a second collection frequency, where the first collection frequency is determined based at least in part on a duration of the event and where the second collection frequency is determined based at least in part on a time period between a first source metric value and a second source metric value in the event;
and
provide a recommendation to monitor the metrics selected for monitoring.

11 more elements

A computer-implemented method, comprising:

providing a domain knowledge catalog that defines, for each source metric of a plurality of source metrics:
(i) a plurality of target type relationships, where a target type relationship comprises a collection of one or more target types that cooperate to instantiate a target in an system;
and
(ii) for each target type relationship, a plurality of metrics that are related to the source metric, where the source metric comprises a measure of an attribute of a target;
determining, for a particular system, a deployment topology that defines targets that are included in the system, where the deployment topology comprises a subset of the target type relationships;
and
identifying an event related to a selected source metric;
and
selecting metrics for monitoring by:
(i) accessing the domain knowledge catalog;
and
(ii) selecting metrics that are related to the subset of target type relationships for the source metric;
and
(iii) determining a collection frequency for a metric based upon a minimum of a first collection frequency and a second collection frequency, where the first collection frequency is determined based at least in part on a duration of the event and where the second collection frequency is determined based at least in part on a time period between a first source metric value and a second source metric value in the event;
and
provide a recommendation to monitor the metrics selected for monitoring.

13 more elements

Dependencies are inferred from the claim text.

Facts

Application: 14/486,168Filed 15 Sep 2014
Published: US 2016/0080226 A117 Mar 2016
Granted: 5 Sep 2017
Term ends: Not estimatedThe source records don’t support an estimate.

Classification6 codes

H04L 43/08
Arrangements for monitoring or testing data switching networks: monitoring or testing based on specific metrics, e.g. QoS, energy consumption or…
H04L 41/069
Management of faults, events, alarms or notifications: using logs of notifications; Post-processing of notifications
H04L 67/10
Protocols: in which an application is distributed across nodes in the network
H04L 41/0266
Exchanging or transporting network management information using the Internet; Embedding network management web servers in network elements;…:…