Configuring and deploying Monte Carlo simulation pipelines

    公开(公告)号:US11055454B1

    公开(公告)日:2021-07-06

    申请号:US16012420

    申请日:2018-06-19

    Abstract: Techniques for performing Monte Carlo simulations within a provider network are described. A request to perform a Monte Carlo simulation is received that specifies a template identifying input parameters to the simulation. The simulation is performed in one or more virtual machines (VMs) by sampling input values from an input data distribution stored at a first network location specified in the template and by processing the sampled input values using an input parameter specified in the template to form an output distribution that is stored at a second network location specified in the template. A statistic of the output distribution is generated and sent to an electronic device.

    Query engine virtualization
    2.
    发明授权

    公开(公告)号:US11100106B1

    公开(公告)日:2021-08-24

    申请号:US16104027

    申请日:2018-08-16

    Abstract: Techniques for query engine virtualization are described. A query engine virtualization layer between clients and multiple query engines acts as a proxy to execute queries on behalf of the clients using ones of the multiple query engines selected for each query that are comparatively the best-suited to execute the query. The selection may be based on the workload pattern the query is issuing on the underlying data.

    Monte Carlo simulation monitoring and optimization

    公开(公告)号:US11226885B1

    公开(公告)日:2022-01-18

    申请号:US16012407

    申请日:2018-06-19

    Abstract: Techniques for monitoring and optimizing Monte Carlo simulations within a provider network are described. A metric representing a similarity between a first data distribution associated with a Monte Carlo simulation template and a second data distribution associated with a data source is generated and evaluated against a condition based on a threshold. A new Monte Carlo simulation template is generated based on the Monte Carlo simulation template. A Monte Carlo simulation is run based on the new Monte Carlo simulation template using a plurality of virtual machines (VMs).

    Dataset schema and metadata management service

    公开(公告)号:US11086827B1

    公开(公告)日:2021-08-10

    申请号:US16134788

    申请日:2018-09-18

    Abstract: Techniques for dataset schema and metadata management are described. A data model management service provides a logically centralized repository that allows discovery of datasets via exploration of dataset metadata. The data model management service can ensure the validity of the datasets and the associated metadata by enforcing dataset validation rules and/or requiring dataset metadata to be provided and limiting visibility into non-compliant datasets.

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