Telecommunication Systems, Inc.

Splunk Inc.

Sun Microsystems, Inc.

Darrell Sano

Kevin Tsurutome

Dipock Das

Steven Shaun McIntyre

Ricky Gene Burnett

Regan Gill

Sean Murphy

Kevin Mullet

The disclosure includes methods and systems that perform operations of identifying a behavior of a metric, where the metric is associated with a node of included within a nodal graph displayed on a graphical user interface. Additionally, a root cause of the behavior is determined through automated, computerized analytics, which may include execution of a search query associated with the node, and a notification of the root cause may be provided via the graphical user interface. Additionally, the graphical user interface may be configured to receive user input that results in the generation of a nodal graph, where the user input includes placement of nodes on a display screen and edges representing a connection between two nodes, where the edges may represent a dependency between the nodes.

Computerized monitoring of a metric through execution of a search query, determining a root cause of the behavior, and providing a notification thereof

Machine data is collected from multiple sources of an operating environment such as an information technology system, factory floor, or the like, into a data intake and query system, in one embodiment. Metrics representative of the environment are included in or derived from the data. Users may interact with an interface to depict a representation of various metrics and interdependencies and that depiction is reflected in a computer storage model. Changes to the computer storage model based on the user interaction may also result in training of a machine learning model according to the user interaction, the machine learning model configured to determine a prediction, classification or clustering of a result of a first search query by utilizing a result of at least a second search query as input to the machine learning model.

Real-time measurement and system monitoring based on generated dependency graph models of system components

Machine data is collected from multiple sources of an operating environment such as an information technology system, factory floor, or the like, into a data intake and query system, in one embodiment. Metrics representative of the environment are included in or derived from the data. Users may interact with an interface to depict a representation of various metrics and interdependencies and that depiction is reflected in a computer storage model. Changes to the computer storage model based on the user interaction may also result in automatic changes to control information reflected in the computer storage model that directs the processing of various monitoring functions associated with the metrics.

System monitoring driven by automatically determined operational parameters of dependency graph model with user interface

A navigation device includes a predictive traffic data database to store predictive traffic data at a plurality of times and a map database to store mapping data. A mapping module calculates a route and an estimated time of traversal for a route between a beginning geographic location and an ending geographic location based on the predictive traffic data and the mapping data. A start time modification module monitors for a modification of a start time for the route, with the mapping module recalculating the estimated time of traversal in response to the modification of the start time for the route.

User interface for predictive traffic

A navigation device for displaying at least one point-of-interest on a map comprises a channel set module to record a user defined channel set. The channel set includes at least one point-of-interest criteria. A channel set options module provides a user of the navigation device with an option to select the channel set. A channel set display module displays the point-of-interest criteria associated with the user selected channel set.

User interface for content channel HUD (heads-up display) and channel sets for location-based maps

A navigation device includes a predictive traffic data database to store predictive traffic data at a plurality of times and a map database to store mapping data. A mapping module calculates a route and an estimated time of traversal for a route between a beginning geographic location and an ending geographic location based on the predictive traffic data and the mapping data. A start time modification module monitors for a modification of a start time for the route, with the mapping module re-calculating the estimated time of traversal in response to the modification of the start time for the route.

A system allows a user to select an individual address from the multiple addresses for additional information on that particular address. Multiple addresses can be viewed together on a map for selection purposes. Selection of a particular address can trigger new GUIs for presentation of context information for a particular location to a user. Context information can include differing map views, e.g., map view, satellite view, terrain view, etc., landmarks, photos taken from that particular address, local businesses, telephone numbers for that particular address, etc. Presentation of context information can assist a user in making a more informed decision as to which addresses from multiple presented possible addresses to select. Context information provide criteria to select and/or rule out a particular address.

Context enabled address selection

A method and apparatus for browsing through a computer database on a computer system with a graphical user interface. The information to be browsed is displayed on a display screen. A browsing tool which resembles a magnifying glass is displayed on the display screen on top of the information. The browsing tool has a viewing lens with targeting crosshair and a 'magnifying' reticle. When the browsing tool is moved about the screen, the information on the screen is shown in normal form. When the browsing tool comes to a rest, the information within the viewing lens of the browsing tool is modified depending on the current browsing tool mode. When the browsing tool is in magnification mode, the information within magnifying reticle is enhanced such that it fills the entire viewing lens of the browsing tool. When the browsing tool is in hierarchical browsing mode, the next lower level of the hierarchy is displayed within the viewing lens of the browsing tool. When the browsing tool is in data filtering mode, the information is displayed according to a preset filtering rule.

Growing community of inventors

Oakland, CA, United States of America

Darrell Sano