Page rendering feedback
    1.
    发明授权
    Page rendering feedback 有权
    页面呈现反馈

    公开(公告)号:US09218267B1

    公开(公告)日:2015-12-22

    申请号:US13966872

    申请日:2013-08-14

    CPC classification number: G06F11/3688 G06F17/3089

    Abstract: A page rendering feedback technology is described. A page component and a script are sent to a rendering device as elements of a page. Feedback is received from the script regarding positional rendering information for the page component within the page. The component position may also be compared with a model component layout position to determine whether the component position was correctly rendered.

    Abstract translation: 描述了一种页面呈现反馈技术。 页面组件和脚本作为页面的元素发送到呈现设备。 从脚本接收到关于页面内的页面组件的位置呈现信息的反馈。 组件位置也可以与模型组件布局位置进行比较,以确定组件位置是否正确呈现。

    Incremental business event recording

    公开(公告)号:US11488180B1

    公开(公告)日:2022-11-01

    申请号:US14161568

    申请日:2014-01-22

    Abstract: Online retailers may operate a network of computing systems in order to provide an electronic marketplace to customers. The network of computing systems may be responsible for maintaining and providing different data to the customers of the online retailer. When a customer transmits a request to the online retailer the request may be divided into a set of tasks that may be executed in parallel by the computing systems. The data generated by executing the various tasks may be cached for various periods of time. Furthermore, log information may be generated based at least in part on execution of the various tasks. The logs may record data on initial access along with an identifier associated with the cached data. For subsequent tasks requiring cached data the log may include only the identifier associated with the cached data.

    Systems and methods providing event data
    3.
    发明授权
    Systems and methods providing event data 有权
    提供事件数据的系统和方法

    公开(公告)号:US09218437B1

    公开(公告)日:2015-12-22

    申请号:US14040617

    申请日:2013-09-27

    CPC classification number: G06F17/30516

    Abstract: Computer applications may generate a large volume of different types of record data. In one example, the large volume of record data may represent millions of different processes occurring every second. Described herein are systems, methods and devices for generating parsed data based on the large volume of record data. The parsed data may be consumed by computing nodes within a designated amount of time from the generation of the record data.

    Abstract translation: 计算机应用程序可能会生成大量不同类型的记录数据。 在一个示例中,大量的记录数据可以代表每秒发生的数百万个不同的进程。 这里描述了用于基于大量记录数据产生解析数据的系统,方法和装置。 解析的数据可以由生成记录数据之后的指定时间内的计算节点消耗。

    Scalable production test service
    5.
    发明授权

    公开(公告)号:US11310165B1

    公开(公告)日:2022-04-19

    申请号:US14133559

    申请日:2013-12-18

    Abstract: A network-based scalable production load test service may be implemented on a provider network including a plurality of computing devices in order to provide load testing for network-based production systems. In some embodiments, the plurality of computing devices is configured to receive a request to capture to a load test data repository items of transaction data for a network-based production service. In some embodiments, the plurality of computing devices is configured to capture to the load test data repository the items of transaction data. The transaction data include input to the network-based production service over a network. In some embodiments, in response to a load test specification received by the scalable production load test service, the plurality of computing devices is configured to dynamically allocate one or more resources to perform a load test of the network-based production service according to the load test specification.

    Machine generated service cache
    6.
    发明授权
    Machine generated service cache 有权
    机器生成的服务缓存

    公开(公告)号:US09245232B1

    公开(公告)日:2016-01-26

    申请号:US13774767

    申请日:2013-02-22

    CPC classification number: G06N99/005 G06F17/30902

    Abstract: A machine generated service cache that utilizes one or more machine learning classifiers is trained using service requests directed to a human-generated service and service responses generated by the human-generated service in response to the service requests. Once the machine generated service cache has been trained to a predetermined level of performance, the machine generated service cache can be utilized to process actual service requests directed to the human-generated service. The machine generated service cache might be utilized to process service requests for which it is not essential that the returned service response be identical to a response that would be generated by the human-generated service.

    Abstract translation: 利用一个或多个机器学习分类器的机器生成的服务高速缓冲存储器是使用针对人类产生的服务的服务请求和由人类生成的服务响应于服务请求生成的服务响应进行训练的。 一旦机器生成的服务高速缓存已经被训练到预定的性能水平,则机器产生的服务高速缓存可以用于处理针对人造服务的实际服务请求。 机器生成的服务高速缓存可以用于处理服务请求,其中所返回的服务响应与由人为生成的服务生成的响应相同并不是必需的。

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