Sap Se

Sap Ag

Arndt Effern

Guenter Briam

Steffen Siegmund

Edgardo Gildo Koenig

Ralf Stauffer

Torsten Ziegler

Frank-Martin Haas

Maximilian Schmidtke

Erkan Emre

Systems and methods include determination of training data instances associated with a respective time periods based on time-series data of each of several metrics, training of a score generator, based on the training data instances, to generate an outlier score, generation of surrogate time-series data of each of the metrics based on the time-series data of each of the metrics, determination of input data instances associated with each one of the respective time periods based on the surrogate time-series data, input of the input data instances to the trained score generator to generate an outlier score for each input data instance, determination of a threshold based on the outlier scores, identification of ones of the training data instances associated with an outlier score greater than the threshold, and identification of an anomaly associated with each of the training data instances associated with an outlier score greater than the threshold.

Anomaly detection using unsupervised learning and surrogate data sets

According to some embodiments, each of a plurality of computer systems to be monitored receives a monitoring solution agent code portion and a monitoring solution agent content portion, the monitoring solution agent code portion and monitoring solution agent content portion together forming a monitoring solution agent. The monitoring solution agent code portion and monitoring solution agent content portion may comprise a remote Monitoring Solution Agent that executes at the computer system to be monitored. According to some embodiments, monitoring solution agent content portion includes a data source layer, a data provider layer, a request layer, and a user interface layer.

System and method for updating monitoring software using content model with validity attributes

The disclosure generally describes methods, software, and systems, including a method for defining and using dependencies and equivalences for data elements in the data model in order to improve query efficiency. At design time of a data model, dependencies and equivalences for data elements in the data model are received over a computer network. The dependencies and equivalences are stored in persistent storage with the data model. A request is received over the computer network, the request to be executed to obtain results from a database associated with the data model. An optimized query is generated using the received request and the dependencies and equivalences. The optimized query is optimized relative to the received request.

Deep filter propagation using explicit dependency and equivalency declarations in a data model

The disclosure generally describes methods, software, and systems, including a method for optimizing queries referencing large object (LOB) information. A structured query language (SQL) query containing an LOB field is identified. LOB replacement information for the LOB field is obtained from a data model. The SQL query is optimized including substituting, using the obtained LOB replacement information, the LOB field with replacement language to create an updated SQL query, and extending the updated SQL query with a join of LOB field language to create an extended SQL query.

Explicit declaration of associations to optimize grouping of elements by large data objects

A local monitoring system of a computer system to be monitored may receive a monitoring solution agent code portion and a first monitoring solution agent content portion. Version D may be assigned to the first content portion, and a status of version D may be set to active such that new end user sessions are initialized with a local agent comprising the code portion and version D. A second content portion may be uploaded and assigned to be version A. Responsive to an end user request, the status of version D may be set to ready and the status of version A may be set to active such that new sessions are initialized with an agent comprising the code portion and version A. A third content portion may then be uploaded and assigned to be version B. Responsive to an end user request, the status of version A may be to ready and the status of version B may be set to active such that new sessions are initialized with an agent comprising the code portion and version B. When sessions using version A no longer exist, version A may be deleted.

System and method for updating content without downtime

In one general aspect, a method can include receiving initial content including a total number of data units for storage, identifying a number of data chunks, identifying a size for each of the data chunks, the size for each data chunk indicative of a number of data units for inclusion in the respective data chunk. The method can further include splitting the initial content into the number of data chunks, each data chunk including a portion of the total number of data units included in the initial content, the portion of the total number of data units based on the size of the data chunk, storing each of the data chunks in memory, and compressing the data chunks included in the memory.

Splitting-based approach to control data and storage growth in a computer system

A computer system including instructions recorded on a non-transitory computer-readable storage medium and readable by at least one processor may include a table generator module, a table updater module, and a data replicator module. The table generator module may be configured to cause the at least one processor to generate a target table. The table updater module may be configured to cause the at least one processor to modify data in the target table synchronously with data being modified in a source table. The data replicator module may be configured to cause the at least one processor to replicate the data contained in the source table in the target table.

Method for reorganizing or moving a database table

An example method may obtain a request to delete a plurality of data items satisfying a first condition from a database, and request a retrieval of a first database item from a first predefined storage block associated with the database based on a query including a negation of the first condition. It may be determined whether the first database item is retrieved from the first predefined storage block in response to the requesting the retrieval of the first database item from the first predefined storage block. When it is determined that the first database item is not retrieved, deletion of the first predefined storage block may be requested, else deletion of each one of the plurality of data items satisfying the first condition from the first predefined storage block may be requested.

Growing community of inventors

Sinsheim-Duehren, Germany

Arndt Effern