Adaptive monitoring of applications
AssigneeSap SE
InventorsStephan Zlatarev, Dimitar Valov
Life of this patent
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Abstract
Capability information for a sensor agent is received. The capability information includes one or more metrics that the sensor agent is configured to provide. The sensor agent is configured in accordance with an initial configuration including a first level of granularity for test data. When the test data is received from the sensor agent, a value of at least one metric from the one or more metrics is tested in a machine learning module. The value is classified based on an output from the machine learning module. The initial configuration of the sensor agent is automatically adjusted to adaptively define a second level of granularity for the test data provided by the sensor agent.
Claims20
A computer implemented method to adaptively monitor applications, the method comprising:
- receiving capability information comprising one or more metrics that a sensor agent is configured to provide;
- receiving test data from the sensor agent, wherein the test data comprises a value of at least one metric of the one or more metrics, and wherein the sensor agent is configured in accordance with a configuration comprising a first level of granularity for the test data;
- testing the value of the at least one metric in a machine learning module;
- classifying the value of the at least one metric based on an output from the machine learning module;
- and
- automatically adjusting the first level of granularity to adapt the configuration of the sensor agent to the test data.
A computer system to securely store data objects, the system comprising:
- a processor;
- and
- a memory in association with the processor storing instructions related to:
- receiving capability information comprising one or more metrics that a sensor agent is configured to provide;
- receiving test data from the sensor agent, wherein the test data comprises a value of at least one metric of the one or more metrics, and wherein the sensor agent is configured in accordance with a configuration comprising a first level of granularity for the test data;
- testing the value of the at least one metric in a machine learning module;
- classifying the value of the at least one metric based on an output from the machine learning module;
- and automatically adjusting the first level of granularity to adapt the configuration of the sensor agent to the test data.
A non-transitory computer readable medium storing instructions which when executed by at least processor cause a computer system to perform operations comprising:
- receive capability information comprising one or more metrics that a sensor agent is configured to provide;
- receive test data from the sensor agent, wherein the test data comprises a value of at least one metric of the one or more metrics, and wherein the sensor agent is configured in accordance with an initial configuration comprising a first level of granularity for the test data;
- test the value of the at least one metric in a machine learning module;
- classify the value of the at least one metric based on an output from the machine learning module;
- and
- automatically adjust the first level of granularity to adapt the configuration of the sensor agent to the test data.
Dependencies are inferred from the claim text.