Abstract: Systems and methods for enforcing plugin vehicle parking regulations are disclosed. Exemplary implementations may: capture parked vehicle images of a parked vehicle in a parking location from a plurality of cameras on electric vehicle service equipment systems (EVSEs) in a parking facility; compare the parked vehicle images to a plurality of plugin vehicle type images in a database; and sound an alarm if the parked vehicle is not a plugin vehicle or if the parked vehicle is not charging from the electric vehicle service equipment systems associated with the parking location within a predetermined time.

Abstract: Various embodiments for adaptively computing and implementing changes in resource allocations using historical data in a distributed computing environment. Historical data on resource consumption levels of an application is maintained. Either of an increase operation or reduction operation is triggered for a resource required by an application instance of the application, where a predicted consumption level for the resource required by the application instance is computed. The increase or reduction operation is computed and implemented for the resource required by the application instance to accommodate the predicted consumption level, thereby optimizing application efficiency and resource utilization in the distributed computing environment.

Abstract: Embodiments for leveraging directed acyclic graph (DAG) information to group tasks for execution, by at least one processor. An Input/Output (I/O) cost for each task in a set of tasks determined to be within a same input host set is determined, and tasks within the set of tasks are grouped into task groups according to an applied allocation time. The task groups are launched commensurate with a calculated delay time from each input host set so as to overlap I/O phases and central processing unit (CPU) phases to improve CPU efficiency. The launched task groups are executed by an executor according to the calculated delay time.

Abstract: A vehicle includes a battery. The vehicle includes a controller configured to inhibit battery charge. The charge inhibition is responsive to state of charge (SOC) of the battery achieving a cascading ceiling threshold during grid charge that decreases each day of a multiday period such that each day an SOC increase during the grid charge to achieve the ceiling threshold is same and the SOC achieves a floor threshold upon completion of a final day drive cycle of the multiday period.

Abstract: Systems and methods for enforcing plugin vehicle parking regulations are disclosed. Exemplary implementations may: capture parked vehicle images of a parked vehicle in a parking location from a plurality of cameras on electric vehicle service equipment systems (EVSEs) in a parking facility; compare the parked vehicle images to a plurality of plugin vehicle type images in a database; and sound an alarm if the parked vehicle is not a plugin vehicle or if the parked vehicle is not charging from the electric vehicle service equipment systems associated with the parking location within a predetermined time.

Abstract: In at least one embodiment of stream processing in a data processing system cluster, a driver requests, from a cluster manager, execution of a first task within a job including a plurality of tasks, as well as a first quantity of resources of the cluster to support execution of the task. At completion of execution of the first task by the cluster, the driver retains for a second task among the plurality of tasks at least a portion of the resources allocated to the first task by the cluster manager. The driver determines a second quantity of the resources to retain for the second task based on a relative priority of the job to other jobs in the cluster and efficiency of the cluster manager in allocating resources to the first task.

Abstract: A vehicle control method includes, by a controller, while an engine is auto-stopped and an electric parking brake is engaged, auto-starting the engine without releasing the electric parking brake responsive to application of an accelerator pedal less than a predefined amount, and auto-starting the engine and releasing the electric parking brake responsive to application of the accelerator pedal greater than the predefined amount. The method also includes comprising auto-stopping the engine and engaging the electric parking brake responsive to vehicle speed being less than a predefined threshold speed.

Abstract: A system includes an elongate member having a connection end electrically coupleable to an attachment point at an external surface of a vehicle. The system includes a motion sensor arranged to detect motion of the elongate member. The system includes a computer that is programmed to actuate one or more subsystems in the vehicle including at least one of steering, braking, and a powertrain, based on received motion data from the motion sensor.

Abstract: Systems, devices, and methods are disclosed for charging a vehicle battery based on whether a vehicle is in an enclosed area or an unenclosed area. An example method includes determining a vehicle battery state of charge (SOC). The method also includes, responsive to comparing the SOC to a threshold, determining, based on data from a vehicle sensor, whether the vehicle is in an enclosed or unenclosed area. And the method further includes responsively providing an alert to a computing device corresponding to the vehicle.

Abstract: A job executing on a computer system according to a scheduler configuration may be monitored. Responsive to determining that the job completed executing, a difference between an allocated resource allocated to the job and the job's actual resource usage may be computed. Responsive to determining that the difference meets a criterion, the scheduler configuration may be reconfigured to reduce the allocated resource for a submitted job associated with a given user.

Abstract: A job in a high performance computing system is executed according to a current scheduler configuration. The job is monitored to determine the job's actual resource usage, the job's performance metric and the job's completion. Responsive to determining that the job completed executing, a difference is computed between allocated resources allocated according to the current scheduler configuration at job submission for execution on the high performance computing system and the job's actual resource usage at the job's completion, wherein the difference is computed for each of N number of jobs that complete executing on the high performance computing system, wherein all of the N number of jobs are associated with a given user. Responsive to determining that the difference for said each of N number of jobs meets a criterion, the current scheduler configuration is automatically reconfigured to reduce the allocated resources for the jobs associated with the given user.

Abstract: A job in a high performance computing system is executed according to a current scheduler configuration. The job is monitored to determine the job's actual resource usage, the job's performance metric and the job's completion. Responsive to determining that the job completed executing, a difference is computed between allocated resources allocated according to the current scheduler configuration at job submission for execution on the high performance computing system and the job's actual resource usage at the job's completion, wherein the difference is computed for each of N number of jobs that complete executing on the high performance computing system, wherein all of the N number of jobs are associated with a given user. Responsive to determining that the difference for said each of N number of jobs meets a criterion, the current scheduler configuration is automatically reconfigured to reduce the allocated resources for the jobs associated with the given user.

Abstract: Various embodiments for adaptively computing and implementing changes in resource allocations using historical data in a distributed computing environment. Historical data on resource consumption levels of an application is maintained. Either of an increase operation or reduction operation is triggered for a resource required by an application instance of the application, where a predicted consumption level for the resource required by the application instance is computed. The increase or reduction operation is computed and implemented for the resource required by the application instance to accommodate the predicted consumption level, thereby optimizing application efficiency and resource utilization in the distributed computing environment.

Abstract: Embodiments for automatic diagonal scaling of workloads in a distributed computing environment. For each of a plurality of resources of each of a plurality of application instances, a determination as to whether a change in allocation of at least one of the plurality of resources is required. Operations requirements are computed for each of the plurality of application instances, the computed requirements including vertical increase and decrease operations, and horizontal split and collapse operations. The vertical decrease and horizontal collapse operations are first processed, the vertical increase and horizontal split operations are ordered, and the vertical increase and horizontal split operations are subsequently processed based on the ordering, thereby optimizing application efficiency and utilization of the plurality of resources in the distributed computing environment.

Abstract: A computing device in a vehicle, programmed to predict a collision risk by comparing an acquired occupant facial expression to a plurality of stored occupant facial expressions, and, brake a vehicle based on the collision risk. The computing device can be programmed to predict a collision risk by determining a number of seconds until a negative event, including a collision, a near-miss, or vehicle miss-direction, is predicted to occur at a current vehicle trajectory.

Abstract: Embodiments for leveraging directed acyclic graph (DAG) information to group tasks for execution, by at least one processor. An Input/Output (I/O) cost for each task in a set of tasks determined to be within a same input host set is determined, and tasks within the set of tasks are grouped into task groups according to an applied allocation time. The task groups are launched commensurate with a calculated delay time from each input host set so as to overlap I/O phases and central processing unit (CPU) phases to improve CPU efficiency. The launched task groups are executed by an executor according to the calculated delay time.

Abstract: Embodiments for leveraging directed acyclic graph (DAG) information to group tasks for execution, by at least one processor device. For a set of tasks, an input host set is determined for each task using a shuffle type and hosts used during a previous stage, and the tasks in the set of tasks determined to be within a same input host set are classified together. An Input/Output (I/O) cost for each task in the set of tasks is calculated and tasks within the set of tasks are grouped into task groups according to an applied allocation time. The task groups are launched commensurate with a calculated delay time from each input host set so as to overlap I/O phases and central processing unit (CPU) phases to improve CPU efficiency, the launched task groups being executed by an executor according to the calculated delay time.

Abstract: Embodiments for leveraging directed acyclic graph (DAG) information to group tasks for execution, by at least one processor device. For a set of tasks, an input host set is determined for each task using a shuffle type and hosts used during a previous stage, and the tasks in the set of tasks determined to be within a same input host set are classified together. An Input/Output (I/O) cost for each task in the set of tasks is calculated and tasks within the set of tasks are grouped into task groups according to an applied allocation time. The task groups are launched commensurate with a calculated delay time from each input host set so as to overlap I/O phases and central processing unit (CPU) phases to improve CPU efficiency, the launched task groups being executed by an executor according to the calculated delay time.

Abstract: A set of source files is stored in a shared storage repository for nodes of a distributed computing environment for software compilation. An object file is created based on at least a portion of the set of source files. A directed acyclic graph (DAG) is generated corresponding to a group of software build tasks and the relationship between the software build tasks based on the set of source files. A replication factor for the object file is determined based on the number of relationships of the object file identified from the DAG. The object file is stored in a local memory cache of at least one of the number of the nodes, wherein the number of the nodes is based on the replication factor for the object file.

Abstract: A system includes an elongate member having a connection end electrically coupleable to an attachment point at an external surface of a vehicle. The system includes a motion sensor arranged to detect motion of the elongate member. The system includes a computer that is programmed to actuate one or more subsystems in the vehicle including at least one of steering, braking, and a powertrain, based on received motion data from the motion sensor.