Techniques for massively-parallel real-time database-integrated machine learning (ML)
inference are described. An ML model is deployed as one or more model serving units …

(57) ABSTRACT A machine-learning driven Database Management System (DBMS) is
provided. One or more machine-learning algo rithms are trained on the database constructs …

Current physical resources utilization of a computing system as a whole is monitored. The
number of queries concurrently being executed against a database by a database …

A computer-implemented method is disclosed that includes operations of parsing a query
comprised of a sequence of operators to detect each operator of the sequence of operators …

2020-11-02 Assigned to SPLUNK INC. reassignment SPLUNK INC. ASSIGNMENT OF
ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: MALEKPOUR …

(57) ABSTRACT A DBMS training subsystem trains a DBMS workload manager model with
training data identifying resources used to execute previous DBMS data-access requests …

A distributed computing device calculates word counts for each of a set of documents. The
word counts are represented as values, each representing a number of times a correspond …

(57) ABSTRACT A distributed computing device generates a gradient descent matrix based
on data received by the distributed computing device and a model stored on the distributed …

Embodiments utilize trained query performance machine learning (QP-ML) models to predict
an optimal compute node cluster size for a given in-memory workload. The QP-ML models …

Methods of machine learning for system deployments without performance regressions are
performed by systems and devices. A performance safeguard system is used to design pre …