SCHEDULING MAPREDUCE TASKS BASED ON ESTIMATED WORKLOAD DISTRIBUTION

    公开(公告)号:US20170139747A1

    公开(公告)日:2017-05-18

    申请号:US15415910

    申请日:2017-01-26

    CPC classification number: G06F9/5083 G06F9/4881 G06F9/4887 G06F2209/5019

    Abstract: A method for scheduling MapReduce tasks includes receiving a set of task statistics corresponding to task execution within a MapReduce job, estimating a completion time for a set of tasks to be executed to provide an estimated completion time, calculating a soft decision point based on a convergence of a workload distribution corresponding to a set of executed tasks, calculating a hard decision point based on the estimated completion time for the set of tasks to be executed, determining a selected decision point based on the soft decision point and the hard decision point, and scheduling upcoming tasks for execution based on the selected decision point. The method may also include estimating a map task completion time and estimating a shuffle operation completion time. A computer program product and computer system corresponding to the method are also disclosed.

    HEAD-DRIVEN, SELF-CAPTURED PHOTOGRAPHY

    公开(公告)号:US20240378817A1

    公开(公告)日:2024-11-14

    申请号:US18314175

    申请日:2023-05-09

    Abstract: According to one embodiment, a method, computer system, and computer program product for head-driven, self-captured photography is provided. The embodiment may include detecting a trigger event performed by a user while the user is interacting with a virtual environment. The embodiment may also include displaying a virtual camera within the virtual environment. The embodiment may further include modifying a location, a distance, and an orientation of the virtual camera in relation to the user based on a plurality of facial movement trigger events by the user. The embodiment may also include capturing one or more images using the virtual camera at the location, the distance, and the orientation based on a facial movement trigger event within the plurality of facial movement trigger events.

    Generating three-dimensional virtual scene

    公开(公告)号:US11069130B2

    公开(公告)日:2021-07-20

    申请号:US13691033

    申请日:2012-11-30

    Abstract: A method and system for generating a three-dimensional (3D) virtual scene are disclosed. The method includes: identifying a two-dimensional (2D) object in a 2D picture and the position of the 2D object in the 2D picture; obtaining the three-dimensional model of the 3D object corresponding to the 2D object; calculating the corresponding position of the 3D object corresponding to the 2D object in the horizontal plane of the 3D scene according to the position of the 2D object in the picture; and simulating the falling of the model of the 3D object onto the 3D scene from a predetermined height above the 3D scene, wherein the position of the landing point the model of the 3D object in the horizontal plane is the corresponding position of the 3D object in the horizontal plane of the 3D scene.

    Facilitating classification of equipment failure data

    公开(公告)号:US11061789B2

    公开(公告)日:2021-07-13

    申请号:US15842561

    申请日:2017-12-14

    Abstract: The subject disclosure relates to employing grouping and selection components to facilitate a grouping of failure data associated with oil and gas exploration equipment into one or more equipment failure type groups. In an example, a method comprises grouping, by a system operatively coupled to a processor, training data of a set of equipment failure data into one or more failure type groups based on one or more determined failure criteria, wherein the one or more failure type groups represent equipment failure classifications associated with energy exploration processes; and selecting, by the system, first ungrouped data from the set of equipment failure data based on a level of similarity between the first ungrouped data and the training data.

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