Abstract: A computer-implemented method of managing security services for one or more cloud computing platforms is disclosed. The method comprises receiving, by a security gateway system having a processor, a digital communication related to one of one or more computing applications hosted by a virtual cluster for private use on a cloud computing platform, the security gateway system residing within the cloud computing platform, the security gateway system performing network security gateway functions for the one or more computing applications. The method also comprises storing the digital communication in association with a timestamp in a storage device. The method further comprises receiving a piece of threat intelligence data indicating a security threat from a main controller residing outside the virtual cluster; storing the piece of threat intelligence data in a database; and determining whether the piece of threat intelligence data applies to any of the digital communications in the storage device.

Abstract: One aspect of the present disclosure involves dynamically performing power capping with respect to a group of computing systems. Different priority levels can be assigned to at least some of the individual computing systems within the group of computing systems. Individual power limits can be set for the plurality of individual computing systems based at least in part on the different priority levels and utilization levels of the plurality of individual computing systems. Another aspect of the present disclosure involves dynamically performing power capping with respect to various subsystems of a computing system. Different priority levels can be assigned to at least some of the plurality of individual subsystems within the computing system. Individual power limits can be set for the plurality of individual subsystems based at least in part on the different priority levels and current power consumption of the plurality of individual subsystems.

Abstract: The present disclosure relates generally to systems and methods for generating, processing and correlating data from multiple sensors in an autonomous navigation system, and more particularly to the utilization of configurable and dynamic sensor modules within light detection and ranging systems that enable an improved correlation between sensor data as well as configurability and responsiveness of the system to its surrounding environment.

Abstract: An adjustable-focus PV (picture/video) camera in a mixed-reality head-mounted display (HMD) device operates with an auto-focus subsystem that is configured to be triggered based on location and motion of a user's hands to reduce the occurrence of auto-focus hunting during camera operations. The HMD device is equipped with a depth sensor that is configured to capture depth data from the surrounding physical environment to detect and track the user's hand location, movements, and gestures in three-dimensions. The hand tracking data from the depth sensor may be assessed to determine hand characteristics—such as which of the user's hands or part of a hand is detected, its size, motion, speed, etc.—within a particular region of interest (ROI) in the field of view of the PV camera. The auto-focus subsystem uses the assessed hand characteristics as an input to control auto-focus of the PV camera to reduce auto-focus hunting occurrences.

Abstract: The current document is directed to automated application-release-management facilities that, in a described implementation, coordinate continuous development and release of cloud-computing applications. The application-release-management process is specified, in the described implementation, by application-release-management pipelines, each pipeline comprising one or more stages, with each stage comprising one or more tasks. The currently described methods and systems employ configuration files to specify configuration of the execution environment for application-release-management pipelines, application-release-management-pipeline stages, and application-release-management-pipeline-stage tasks and apply policies to configuration files to further specify the execution environments for application-release-management pipelines.

Abstract: A storage device includes: a storage controller to receive one or more notifications corresponding to host data transferred from a host device to the storage device over a storage interface; and a response circuit connected to the storage controller, the response circuit to trigger a response to the host device, and including: a first counter to track the one or more notifications, the one or more notifications corresponding to an entirety of the host data such that each of the notifications corresponds to a portion of the host data; a second counter to track one or more acknowledgements received from the storage controller, the one or more acknowledgments corresponding to the one or more notifications such that each of the acknowledgments corresponds to a notification; and a response trigger to select one of the first counter and the second counter to trigger the response to the host device.

Abstract: A storage device includes: a storage controller to receive one or more notifications corresponding to host data transferred from a host device to the storage device over a storage interface; and a response circuit connected to the storage controller, the response circuit to trigger a response to the host device, and including: a first counter to track the one or more notifications, the one or more notifications corresponding to an entirety of the host data such that each of the notifications corresponds to a portion of the host data; a second counter to track one or more acknowledgements received from the storage controller, the one or more acknowledgments corresponding to the one or more notifications such that each of the acknowledgments corresponds to a notification; and a response trigger to select one of the first counter and the second counter to trigger the response to the host device.

Abstract: A process is disclosed to identify the minimal set of sequential and combinational signals needed to fully reconstruct the combinational layout after emulation is complete. A minimal subset of sequential and combinational elements is output from the emulator to maximize the emulator speed and limit the utilization of emulator resources, e.g., FPGA resources. An efficient reconstruction of combinational waveforms or SAIF data is performed using a parallel computing grid.

Abstract: The current document is directed to an integrated cloud-management facility, or subsystem, that incorporates an automated-application-deployment-facility integrator that incorporates one or more automated-application-deployment facilities into the cloud-management facility. The automated-application-deployment-facility integrator allows users of the cloud-management facility to access one or more automated-application-deployment facilities within the context of the cloud-management facility. The automated-application-deployment-facility integrator provides to system managers and administrators, through the cloud-management facility, a wider range of functionalities and capabilities than is provided by a cloud-management facility that includes only a single automated-application-deployment facility, or subsystem.

Abstract: A method for managing network congestion is provided. The method comprises: receiving, at a receiver, a packet comprising a timestamp provided by a first clock of a sender; deriving, by the receiver, a latency value based at least in part on the timestamp provided by the first clock and a receipt time provided by a second clock of the receiver; determining a latency change by comparing the latency value with a previous latency value; and determining a state of network congestion based at least in part on the latency change.

Abstract: An adjustable-focus PV (picture/video) camera in a mixed-reality head-mounted display (HMD) device operates with an auto-focus subsystem that is configured to be triggered based on location and motion of a user's hands to reduce the occurrence of auto-focus hunting during camera operations. The HMD device is equipped with a depth sensor that is configured to capture depth data from the surrounding physical environment to detect and track the user's hand location, movements, and gestures in three-dimensions. The hand tracking data from the depth sensor may be assessed to determine hand characteristics—such as which of the user's hands or part of a hand is detected, its size, motion, speed, etc.—within a particular region of interest (ROI) in the field of view of the PV camera. The auto-focus subsystem uses the assessed hand characteristics as an input to control auto-focus of the PV camera to reduce auto-focus hunting occurrences.

Abstract: One aspect of the present disclosure involves dynamically performing power capping with respect to a group of computing systems. Different priority levels can be assigned to at least some of the individual computing systems within the group of computing systems. Individual power limits can be set for the plurality of individual computing systems based at least in part on the different priority levels and utilization levels of the plurality of individual computing systems. Another aspect of the present disclosure involves dynamically performing power capping with respect to various subsystems of a computing system. Different priority levels can be assigned to at least some of the plurality of individual subsystems within the computing system. Individual power limits can be set for the plurality of individual subsystems based at least in part on the different priority levels and current power consumption of the plurality of individual subsystems.

Abstract: A process is disclosed to identify the minimal set of sequential and combinational signals needed to fully reconstruct the combinational layout after emulation is complete. A minimal subset of sequential and combinational elements is output from the emulator to maximize the emulator speed and limit the utilization of emulator resources, e.g., FPGA resources. An efficient reconstruction of combinational waveforms or SAIF data is performed using a parallel computing grid.

Abstract: An autonomous cleaning robot (e.g., an autonomous vacuum) may clean an environment using a cleaning head that is self-actuated. The cleaning head includes an actuator assembly comprising an actuator configured to control rotation and vertical movement of a cleaning roller, a controller, and a cleaning roller having an elongated cylindrical length connected to the actuator assembly. The cleaning head also includes a computer processor connected to the actuator assembly and a non-transitory computer-readable storage medium that causes the computer processor to map the environment based on sensor data captured by the autonomous vacuum. The computer processor may determine an optimal height for the cleaning head based on the map and instruct the actuator assembly to adjust the height of the cleaning head.

Abstract: A storage device includes: a storage controller to receive one or more notifications corresponding to host data transferred from a host device to the storage device over a storage interface; and a response circuit connected to the storage controller, the response circuit to trigger a response to the host device, and including: a first counter to track the one or more notifications, the one or more notifications corresponding to an entirety of the host data such that each of the notifications corresponds to a portion of the host data; a second counter to track one or more acknowledgements received from the storage controller, the one or more acknowledgments corresponding to the one or more notifications such that each of the acknowledgments corresponds to a notification; and a response trigger to select one of the first counter and the second counter to trigger the response to the host device.

Abstract: A storage device includes: a storage controller to receive one or more notifications corresponding to host data transferred from a host device to the storage device over a storage interface; and a response circuit connected to the storage controller, the response circuit to trigger a response to the host device, and including: a first counter to track the one or more notifications, the one or more notifications corresponding to an entirety of the host data such that each of the notifications corresponds to a portion of the host data; a second counter to track one or more acknowledgements received from the storage controller, the one or more acknowledgments corresponding to the one or more notifications such that each of the acknowledgments corresponds to a notification; and a response trigger to select one of the first counter and the second counter to trigger the response to the host device.

Abstract: An autonomous cleaning robot (e.g., an autonomous vacuum) may clean an environment using a cleaning head that is self-actuated. The cleaning head includes an actuator assembly comprising an actuator configured to control rotation and vertical movement of a cleaning roller, a controller, and a cleaning roller having an elongated cylindrical length connected to the actuator assembly. The cleaning head also includes a computer processor connected to the actuator assembly and a non-transitory computer-readable storage medium that causes the computer processor to map the environment based on sensor data captured by the autonomous vacuum. The computer processor may determine an optimal height for the cleaning head based on the map and instruct the actuator assembly to adjust the height of the cleaning head.

Abstract: An autonomous cleaning robot (e.g., an autonomous vacuum) may clean an environment using a cleaning head that is self-actuated. The cleaning head includes an actuator assembly comprising an actuator configured to control rotation and vertical movement of a cleaning roller, a controller, and a cleaning roller having an elongated cylindrical length connected to the actuator assembly. The cleaning head also includes a computer processor connected to the actuator assembly and a non-transitory computer-readable storage medium that causes the computer processor to map the environment based on sensor data captured by the autonomous vacuum. The computer processor may determine an optimal height for the cleaning head based on the map and instruct the actuator assembly to adjust the height of the cleaning head.

Abstract: A computer-implemented method of managing security services for one or more cloud computing platforms is disclosed. The method comprises receiving, by a security gateway system having a processor, a digital communication related to one of one or more computing applications hosted by a virtual cluster for private use on a cloud computing platform, the security gateway system residing within the cloud computing platform, the security gateway system performing network security gateway functions for the one or more computing applications. The method also comprises storing the digital communication in association with a timestamp in a storage device. The method further comprises receiving a piece of threat intelligence data indicating a security threat from a main controller residing outside the virtual cluster; storing the piece of threat intelligence data in a database; and determining whether the piece of threat intelligence data applies to any of the digital communications in the storage device.

Abstract: An online system guarantees achievement of an impression goal and a reach goal associated with a set of content items received from a content-providing user of the online system within a period of time associated with the goals. To ensure that the goals are achieved within the period of time, the online system may adjust values of filters associated with the set of content items that control a number of impression opportunities for which the set of content items will be eligible for presentation to users of the online system. The online system may compute a normalized ratio throughout the period of time associated with the goals based on the goals and the progress made by the online system towards achieving the goals. Based on the normalized ratio, the online system may track the performance of the content items and adjust the values of the filters.