Teradata Us, Inc.

Daniel David Hoffman

Douglas Paul Brown

Hoa Thu Tran

Kenneth Ray Shortes

A data store system may include a storage device configured to store a plurality of data store tables and may include a processor in communication with the storage device. The processor may receive a plurality of requests. For each request, the processor may: (1) determine an associated workload type for the request; (2) determine a first respective rate at which the request is to be released for scheduling of execution; and (3) release the request for scheduling of execution based on the first respective rate. For each released request, the processor may: (1) determine a second respective rate based on the associated workload type at which each released request is scheduled to be executed; and (2) in response to execution being scheduled for a released request, execute the released request. A method and computer-readable medium are also disclosed.

Workload request rate control

Apparatus, systems, and methods may operate to acquire an original data set comprising a series of data points having an independent portion and a dependent portion, the dependent portion representing a measure of device performance that depends on at least one device characteristic represented by the independent portion. Additional activity may include identifying outlier data points in the series by determining, in comparison with all other members of the series, whether the outlier data points conform to a known trend of the series; transforming the original data set into a transformed data set by removing the outlier data points from the series; and publishing the transformed data set. Other apparatus, systems, and methods are disclosed.

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San Diego, CA, United States of America

Daniel David Hoffman