Servicenow, Inc.

Microsoft Technology Licensing, LLC

Scott Tucker

Chinna Babu Polinati

James Crotinger

Purushottam Shridhar Amradkar

Kanwaldeep Kaur Dang

Paul Yuknewicz

John Z Chen

John W Hart, Ii

Eugen Ardeleanu

Wenhui Zhu

Taosheng Hu

Sachin Gupta

Chen Ji

Steven Michael Hoag

An anomaly detection module may include a time-series analyzer that classifies current time-series data into at least one of a plurality of classifications based upon historical data and may construct a statistical model representative of the current time-series data based upon the at least one of the plurality of classifications. An anomaly detector monitors a stream of the current time-series data and identifies statistical outliers of the stream of the current time-series data, based upon the statistical model and may determine an anomalous score for the statistical outliers by tracking a history of the statistical outliers; wherein the anomalous score comprises a representation of a magnitude of deviation between the current time-series data and the statistical model over multiple measurements of the current time-series data, over a particular time interval, or both.

Systems and methods for anomaly detection

An apparatus for grouping alerts generated by automated monitoring of at least an operating condition of a machine, represented as a configuration item in a configuration management database, in a computer network. A first event pattern is identified based on configuration items associated with an alert avalanche identified from received historical alert data stored in memory. A second event pattern is identified based on co-occurrences of configuration item pairs in the historical alert data and on at least one conditional probability parameter. At least one alert group is determined by comparing at least one configuration item associated with a current alert to the plurality of configuration items of the first event pattern and of the second event pattern stored in memory. A graphical display region for displaying the alert group is generated.

Management of computing system alerts

Development environments are commonly used to facilitate the development of user interfaces (e.g. windows forms, web forms, etc.). Drawing objects are components that may be used within the development environment to provide visual enhancements to the user interface. An effective method for drawing one or more drawing objects is disclosed herein to draw the drawing objects as windowless shapes within a shape container. The shape container may be configured to participate in a windows message loop (e.g. event handling system), wherein the windowless shapes do not participate in the windows message loop (e.g. lack a windows handle). The shape container listens, for example, within the windows message loop for operations pertaining to windowless shapes, and executes the operations upon the windowless shapes. Computer resources may be efficiently allocated, for example to the graphical user interface during runtime, instead of the windowless shapes consuming resources to participate in the windows message loop.

Windowless shape drawing

Growing community of inventors

Kirkland, WA, United States of America

Scott Tucker