Cellepathy Inc.

Red Hat, Inc.

Red Hat Israel, Ltd.

Yuval Kashtan

Itzhak Pomerantz

Dan Abramson

Gal Hammer

Sean Ir

Andrei Kolin

Ohad Inbar

Guy Soffer

Talia Lavie

Shay Gigi

Barak Azulay

The technology disclosed herein enables an operating system kernel to schedule and perform load balancing of latency-sensitive tasks on processors that are otherwise excluded from a scope of load balancing performed by the kernel scheduler. An example method may include identifying, in an operating system of a computing device, one or more first tasks and one or more second tasks, where the second tasks are characterized by one or more latency constraints, identifying a first set of processors that are available for load balancing by a kernel scheduler of the operating system, scheduling execution of the first tasks on the first set of processors, identifying a second set of processors that are excluded from a scope of load balancing performed by the kernel scheduler, and scheduling execution of the second tasks on the second set of processors.

Latency sensitive workload balancing

Privilege capabilities can be implemented for devices used for container native function (CNF) operations according to some aspects described herein. In one example, a system can receive a request for executing a CNF using a device in a computing cluster. The CNF can involve an operation associated with a privileged capability. The system can determine the CNF is associated with a first credential for the privileged capability based on a data structure that stores process-level capabilities for the CNF and file handle level capabilities for the device. The system can determine the device is associated with a second credential for the privileged capability based on the data structure. In response to determining that the CNF is associated with the first credential and the device is associated with the second credential, the system can execute the CNF using the device in the computing cluster.

Implementing privilege capabilities for devices used for container native function operations

Providing clock times to virtual devices. In one embodiment, a method includes identifying a real-time clock device of a host computing device. The host computing device comprises a hypervisor and a virtual machine. The method also includes determining that a virtual device used by the virtual machine will use clock times obtained from the real-time clock device. The method further includes obtaining, by a processing device of the host computing device, a current clock time from the real-time clock device of the host computing device. The method further includes providing the current clock time to the virtual device.

Providing virtual devices direct access to clock times in memory locations managed by a hypervisor

Systems and methods are provided for selectively restricting a mobile device. In one implementation, a visual capture can be to identify one or more indicators within the visual capture. Based on the indicators, an implementation of a restriction at the mobile device can be adjusted. In another implementation inputs can be processed to compute a determination, determination reflecting at least one of the in-vehicle role of the user as a driver and the in-vehicle role of the user as a passenger; and, an operation state of the mobile device can be modified based on such a determination. According to another implementation, one or more outputs can be projected from a mobile device, inputs can be received, and such inputs and outputs can be processed to determine a correlation between them. A restriction can then be modified based on the correlation.

Restricting mobile device usage

Systems and methods are disclosed for computing various determinations at one or more mobile devices and/or central machines. In part, such determinations are computed based on analysis of one or more inputs originating at one or more sensors of one or more devices. The referenced methods can include operations such as: receiving one or more inputs, processing the one or more inputs to determine a quantity of occupants within a vehicle, and transforming a first operation state of a device present within the vehicle based on a determination that the quantity of occupants within the vehicle is not greater than one.

Device control based on number of vehicle occupants

Systems and methods are disclosed for computing various determinations at one or more mobile devices and/or central machines. In part, such determinations are computed based on analysis of one or more inputs originating at one or more sensors of one or more devices. Such determinations include determining an in-vehicle role, an in-vehicle location, a handheld state, and a vehicle class. Various transformations, modifications, and outputs can result from such determinations. Also disclosed are systems and methods for restricting operation of a mobile device, including restrictions that impede operation by a driver moreso than operation by a passenger. Also disclosed are systems and methods for orienting a coordinate system of a mobile device.

In-vehicle device location determination and enforcement of usage thereof

Sensor-based determination of user role, location, and/or state of one or more in-vehicle mobile devices and enforcement of usage thereof

In one embodiment, a mechanism for staged upgrades of a virtual machine system is disclosed. In one embodiment, a method includes determining a minimum number of virtual desktop servers (VDSs) necessary to host one or more VMs associated with the VDSs, migrating in a live manner the one or more VMs to the minimum number of VDSs, upgrading the non-upgraded VDSs that are not hosting any VMs, repeating the migrating and upgrading until all of the VDSs are upgraded, load balancing the VMs among the upgraded VDSs, and upgrading each of the VMs upon hosting of the VM by an upgraded VDS.

Growing community of inventors

Mishmeret, Israel

Yuval Kashtan