Data center disaster circuit breaker utilizing machine learning
AssigneeSap SE
InventorYang Peng
Life of this patent
Estimating the term…
Abstract
Calls received by a data center that are associated with a request are monitored. Features are subsequently extracted from the monitored calls so that a machine learning model may use such features to determine that the request will cause the data center to malfunction. The machine learning model can be trained using data derived from a transaction log for the data center. At least one correction action to prevent the data center from malfunctioning can then be initiated in response to such determination. Related apparatus, systems, techniques and articles are also described.
Claims20
A computer-implemented method comprising:
- monitoring calls received by a data center and associated with a request;
- extracting features from the monitored calls;
- determining, by a machine learning model using the extracted features, that the request will cause the data center to malfunction, the machine learning model being trained using data derived from a transaction log for the data center;
- and
- initiating, in response to the determination, at least one corrective action to prevent the data center from malfunctioning.
A system comprising:
- at least one data processor;
- and
- memory storing instructions which, when executed by the at least one data processor, result in operations comprising:
- monitoring calls received by a data center associated with a request;
- extracting features from the monitored calls;
- determining, by a machine learning model using the extracted features, that the request will cause the data center to malfunction, the machine learning model being trained using data derived from a transaction log for the data center;
- and
- initiating, in response to the determination, at least one corrective action to prevent the data center from malfunctioning.
A non-transitory computer program product storing instructions which, when executed by at least one computing device, result in operations comprising:
- monitoring calls received by a data center associated with a request;
- extracting features from the monitored calls;
- determining, by a machine learning model using the extracted features, that the request will cause the data center to malfunction, the machine learning model being trained using data derived from a transaction log for the data center;
- and
- initiating, in response to the determination, at least one corrective action to prevent the data center from malfunctioning.
Dependencies are inferred from the claim text.