Optimizing computational data systems

    公开(公告)号:US09852160B1

    公开(公告)日:2017-12-26

    申请号:US13905738

    申请日:2013-05-30

    CPC classification number: G06F17/30283 G06F11/30 G06F17/30286 G06F17/30306

    Abstract: A data computation rate is calculated for use by components in a computational data system. The data computation rate defines the frequency at which a computation, or other types of processing, is performed on or using certain data, such as a data value in a database. The data computation rate might be calculated based upon a current or historical data consumption rate that defines the frequency at which a consumer requests or has requested data, a data update rate that defines the current or historical frequency at which the data that is utilized to generate the processed data is or has been modified, a consumer-specified tolerance, and/or other information. The computed data consumption rate might then be utilized to specify the frequency at which the data should be processed by components in the computational data system.

    De-referenced package execution
    32.
    发明授权

    公开(公告)号:US09836315B1

    公开(公告)日:2017-12-05

    申请号:US14314205

    申请日:2014-06-25

    Abstract: A library registry service receives a library interface definition that defines an interface for a library stub and data indicating whether a corresponding package is to be executed locally or remotely. An application is then built using the library stub. When the application calls the library stub, the library stub determines whether the package is to be executed locally or remotely either dynamically or by consulting the library registry service. The library stub then causes the package to be executed in the determined location. An updated library may be periodically generated and deployed for execution by the library stub locally or remotely. The library stub might also batch calls and/or provide a control interface for configuring aspects of its operation.

    ADAPTING DECOY DATA PRESENT IN A NETWORK
    35.
    发明申请
    ADAPTING DECOY DATA PRESENT IN A NETWORK 有权
    适应网络中的严重数据

    公开(公告)号:US20160019395A1

    公开(公告)日:2016-01-21

    申请号:US14872880

    申请日:2015-10-01

    Abstract: Disclosed are various embodiments for obtaining policy data specifying decoy data eligible to be inserted within a response to an access of a data store. The decoy data is detected in the response among a plurality of non-decoy data based at least upon the policy data. An action associated with the decoy data is initiated in response to the access of the data store meeting a configurable threshold.

    Abstract translation: 公开了用于获得策略数据的各种实施例,该策略数据指定在对数据存储的访问的响应中有资格插入的诱饵数据。 至少基于策略数据,在多个非诱饵数据之间的响应中检测诱饵数据。 响应于满足可配置阈值的数据存储的访问,启动与诱饵数据相关联的动作。

    Payment device security
    36.
    发明授权

    公开(公告)号:US10475014B1

    公开(公告)日:2019-11-12

    申请号:US13838354

    申请日:2013-03-15

    Abstract: This disclosure is directed, in part, to providing payment device security by storing security information in a payment device that, when received by a point-of-sale (POS) device, initiates a security request by the POS device that is used to protect the payment device against fraudulent use or misuse by unauthorized people. The payment device may store a code that, when received by the POS device, may allow the POS device to determine a security request associated with the code. The POS device may determine the security request by converting the code locally or the POS device may transit the code to a security provider that returns the security request. The POS device may then implement and/or enforce the security request. In some embodiments, the authorized user of the payment device may specify at least part of the security request, thereby enabling customization the security request.

    Computing resource forecasting and optimization

    公开(公告)号:US10318896B1

    公开(公告)日:2019-06-11

    申请号:US14491762

    申请日:2014-09-19

    Abstract: Methods, systems, and computer-readable media for implementing computing resource forecasting and optimization are disclosed. A projected service call volume is determined for a particular service for a future period of time. A set of computing resources is determined to support the projected service call volume for the particular service. The set of computing resources is determined based on automated analysis of the projected service call volume and is calibrated for throughput for the particular service. The set of computing resources is allocated to provide the particular service for the future period of time.

    Cooperative network access
    40.
    发明授权

    公开(公告)号:US10038729B1

    公开(公告)日:2018-07-31

    申请号:US14094633

    申请日:2013-12-02

    CPC classification number: H04W48/12 H04W48/18 H04W84/12

    Abstract: One or more cooperative network servers establish connections with a plurality of access points to form a cooperative network. The plurality of access points may be operated by a plurality of different individuals. Incentives such as reciprocal usage, remuneration, and so forth may encourage participants to join the cooperative network. Data may be passed from an originating device through the access point to a datacenter, which may transfer the data to another datacenter which sends the data to another access point which ultimately provides the data to a destination device. The transfer between datacenters may use a high capacity backbone which may provide lower latency, reduced data transfer cost, and so forth.

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