JOB SCHEDULING BASED ON JOB EXECUTION HISTORY

    公开(公告)号:US20200151025A1

    公开(公告)日:2020-05-14

    申请号:US16739870

    申请日:2020-01-10

    Abstract: Methods, systems, and computer-readable media for job scheduling based on job execution history are disclosed. A request is received to schedule a workload comprising a plurality of jobs. A resource allocation score for the workload is determined. The resource allocation score represents (at least in part) an estimated likelihood of successful execution of the workload. A first portion of the workload is scheduled for execution, and a remaining portion (if any) of the workload is delayed. A quantity of jobs in the first portion of the workload is determined based (at least in part) on the resource allocation score. Execution of the first portion of the workload is initiated.

    Job scheduling based on job execution history

    公开(公告)号:US10534655B1

    公开(公告)日:2020-01-14

    申请号:US15188865

    申请日:2016-06-21

    Abstract: Methods, systems, and computer-readable media for job scheduling based on job execution history are disclosed. A request is received to schedule a workload comprising a plurality of jobs. A resource allocation score for the workload is determined. The resource allocation score represents (at least in part) an estimated likelihood of successful execution of the workload. A first portion of the workload is scheduled for execution, and a remaining portion (if any) of the workload is delayed. A quantity of jobs in the first portion of the workload is determined based (at least in part) on the resource allocation score. Execution of the first portion of the workload is initiated.

    EVENT-DRIVEN SCHEDULING USING DIRECTED ACYCLIC GRAPHS

    公开(公告)号:US20180276040A1

    公开(公告)日:2018-09-27

    申请号:US15468036

    申请日:2017-03-23

    Abstract: Methods, systems, and computer-readable media for event-driven scheduling using directed acyclic graphs are disclosed. A directed acyclic graph is generated that comprises a plurality of nodes and a plurality of edges. The nodes represent jobs, and the edges represent dependency relationships between individual jobs. Based (at least in part) on one or more events, a job scheduler determines that one of the nodes represents a runnable job. One or more of the dependency relationships for the runnable job are satisfied by the one or more events. An execution schedule is determined for the runnable job. Based (at least in part) on the execution schedule, execution of the runnable job is initiated using one or more computing resources.

    Execution of replicated tasks using redundant resources

    公开(公告)号:US11803420B1

    公开(公告)日:2023-10-31

    申请号:US15385751

    申请日:2016-12-20

    CPC classification number: G06F9/5005

    Abstract: Methods, systems, and computer-readable media for execution of replicated tasks using redundant resources are disclosed. Replicas of a task are generated. Computing resources are selected from at least one pool of computing resources of a provider network. The provider network includes a plurality of pools of computing resources that vary in a characteristic, and the computing resources are selected based (at least in part) on the characteristic. Concurrent execution of the replicas of the task is initiated using the selected computing resources. Input data for the concurrent execution does not vary from one of the replicas to another of the replicas, and at least a portion of the replicas produce individual results for the input data. Based (at least in part) on a policy, an individual result of one or more of the replicas is selected as a final result of the task.

    Cloud computing in communications service provider networks

    公开(公告)号:US10965737B1

    公开(公告)日:2021-03-30

    申请号:US16699414

    申请日:2019-11-29

    Abstract: Techniques for reducing latency between resources of a cloud provider network and end user devices are described. In one embodiment, a system includes a cloud provider network including a first control plane service to manage customer compute instances hosted on resources of the cloud provider network. The system further includes a first provider substrate extension of the cloud provider network connected to a first communications service provider network. The first provider substrate extension includes a first computer system having capacity for executing customer compute instances, is controlled at least in part by the first control plane service via a connection through at least a portion of the first communications service provider network, executes at least a first customer compute instance using the first computer system, wherein the first customer compute instance communicates with a first mobile computer system connected via the first communications service provider network.

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