Abstract: In one embodiment, a method by an arbiter associated with hardware resources of a computing system includes associating with N indexed requesters requesting accesses to the hardware resources, where each of the N indexed requesters is associated with a credit counter and a weight, repeatedly granting a right to access the hardware resources to each requester that satisfies conditions in an indexing order among the N indexed requesters until none of the N indexed requesters satisfies the conditions and replenishing, upon a determination that none of the N indexed requesters satisfies the conditions, a credit counter associated with each of the N indexed requesters.

Abstract: The present disclosures are directed to personal care compositions comprising crosslinked silicone elastomer; personal care compositions comprising a crosslinked silicone elastomer powder that is free of surfactant; and personal care compositions that are free of a polyether compound. The present disclosures are further directed to personal care compositions comprising one or more of oils, an aqueous phase, sunscreens, film formers, waxes, emulsifiers, particulates, pigments, dyes, and preservatives.

Abstract: System and methods are described for parsing log data items to find events in the log data items, wherein an event comprises at least a portion of a log data item matching an event definition; aggregating a plurality of performance metric definitions into a single expression; and generating a plurality of performance metrics from the events by applying the single expression to the events.

Abstract: Systems and methods are described for applying a plurality of data points of a time series data set representing values of a metric measuring performance of a cloud computing service to a machine learning model to predict a forecast of a most likely value of the metric at a selected future time. The method includes determining whether the plurality of data points of the time series data set are anomalies according to the machine learning model and the forecast and generating a collective anomaly from the anomalies when the plurality of data points is determined to be anomalies. The method further includes determining whether the collective anomaly does not meet one or more cloud computing service level objective (SLO) threshold requirements and sending an alert when the collective anomaly does not meet one or more cloud computing SLO threshold requirements.

Abstract: Systems and methods are described for generating metrics from log data items, automatically inferring one or more schemas based at least in part on analyzing samples of the log data items, validating samples of the log data items against the one or more schemas to detect log data item errors, and analyzing the log data item errors according to metrics analytics rules to determine an effect of the log data item errors on a quality measurement of the metrics.

Abstract: System and methods are described for parsing log data items to find events in the log data items, wherein an event comprises at least a portion of a log data item matching an event definition; aggregating a plurality of performance metric definitions into a single expression; and generating a plurality of performance metrics from the events by applying the single expression to the events.

Abstract: Systems and methods are described for generating metrics from log data items, automatically interring one or more schemas based at least in part on analyzing samples of the log data items, validating samples of the log data items against the one or more schemas to detect log data item errors, and analyzing the log data item errors according to metrics analytics rules to determine an effect of the log data item errors on a quality measurement of the metrics.

Abstract: Systems and methods are described for applying a plurality of data points of a time series data set representing values of a metric measuring performance of a cloud computing service to a machine learning model to predict a forecast of a most likely value of the metric at a selected future time. The method includes determining whether the plurality of data points of the time series data set are anomalies according to the machine learning model and the forecast and generating a collective anomaly from the anomalies when the plurality of data points is determined to be anomalies. The method further includes determining whether the collective anomaly does not meet one or more cloud computing service level objective (SLO) threshold requirements and sending an alert when the collective anomaly does not meet one or more cloud computing SLO threshold requirements.

Abstract: A method, system, and apparatus for accessing data-driven websites and applications on a mobile client device are described. A request for a website received from the mobile client device is transmitted to a provider. At least one web page template of the website and application data corresponding to the at least one web page template is received from the provider in response to the request, and is transmitted to the mobile client device. Thereafter, in an offline mode, the mobile client device can display a plurality of web pages corresponding to the website, each web page displaying corresponding data of the application data formatted according to a common format provided by the at least one web page template. Furthermore, a method, system, and apparatus for tracking the usage of applications on a mobile client device is provided. The occurrence of at least one user initiated event on the mobile client device during offline operation is enabled.

Abstract: A method, system, and apparatus for accessing data-driven websites and applications on a mobile client device are described. A request for a website received from the mobile client device is transmitted to a provider. At least one web page template of the website and application data corresponding to the at least one web page template is received from the provider in response to the request, and is transmitted to the mobile client device. Thereafter, in an offline mode, the mobile client device can display a plurality of web pages corresponding to the website, each web page displaying corresponding data of the application data formatted according to a common format provided by the at least one web page template. Furthermore, a method, system, and apparatus for tracking the usage of applications on a mobile client device is provided. The occurrence of at least one user initiated event on the mobile client device during offline operation is enabled.

Abstract: A portable or wearable device and related methods of use that provide an altered microenvironment surrounding the respiratory path, specifically a person's mouth or nose, wherein the air in the microenvironment is either filtered to remove pollutants or pathogens, or wherein the air is altered by therapeutic or pharmaceutical or other agents, which disinfect the air or otherwise provide a desirable characteristic. In an alternative embodiment, a therapeutic or pharmaceutical agent is delivered to the air path to the individual wearing the device of the present invention.

Abstract: A method, system, and apparatus for accessing data-driven websites and applications on a mobile client device are described. A request for a website received from the mobile client device is transmitted to a provider. At least one web page template of the website and application data corresponding to the at least one web page template is received from the provider in response to the request, and is transmitted to the mobile client device. Thereafter, in an offline mode, the mobile client device can display a plurality of web pages corresponding to the website, each web page displaying corresponding data of the application data formatted according to a common format provided by the at least one web page template. Furthermore, a method, system, and apparatus for tracking the usage of applications on a mobile client device is provided. The occurrence of at least one user initiated event on the mobile client device during offline operation is enabled.