PREDICTING SERVICE DELIVERY METRICS USING SYSTEM PERFORMANCE DATA
    3.
    发明申请
    PREDICTING SERVICE DELIVERY METRICS USING SYSTEM PERFORMANCE DATA 有权
    使用系统性能数据预测服务提供量度

    公开(公告)号:US20150067140A1

    公开(公告)日:2015-03-05

    申请号:US14015007

    申请日:2013-08-30

    CPC classification number: H04L41/147 H04L41/5038 H04L41/5074

    Abstract: A method for predicting a computerized service delivery organization workload including collecting data of a computer implementing service delivery routine including overlapping samples of load values, overlapping samples of performance values, overlapping samples of event outputs, ticket values and ticket volumes, building a first correlation of said load values with said performance values for predicting new performance values based on new data, building a second correlation of said performance values with said event outputs, said ticket values and said ticket volumes, combining said first and second correlations into a third correlation for correlating said load values with a ticket volume and an event volume, and determining at least one projected event volume or projected ticket volume value using said third correlation and at least one projected load value of said computer.

    Abstract translation: 一种用于预测计算机化服务传送组织工作负载的方法,包括收集实施服务传递例程的计算机的数据,所述计算机包括负载值的重叠样本,性能值的重叠样本,事件输出的重叠样本,票值和票量,建立第一关联 所述负载值具有所述性能值,用于基于新数据预测新的性能值,构建所述性能值与所述事件输出,所述票值和所述票体积的第二相关性,将所述第一和第二相关组合成第三相关, 所述负载值具有票数量和事件量,以及使用所述第三相关性和所述计算机的至少一个预计负载值来确定至少一个投影事件量或预计票数量值。

    Under water image color correction

    公开(公告)号:US11164291B2

    公开(公告)日:2021-11-02

    申请号:US16741994

    申请日:2020-01-14

    Abstract: Aspects of the present invention disclose a method for color reconstruction of individual detected objects of an underwater image using a library of reference images. The method includes one or more processors obtaining image data of a computing device that includes an underwater image. The method further includes determining a depth measurement corresponding to the underwater image. The method further includes identifying an object of the underwater image based at least in part on a shape of the object. The method further includes reconstructing one or more colors of the object of the underwater image based at least in part on a reference image.

    MANAGING NETWORK SYSTEM INCIDENTS

    公开(公告)号:US20210111980A1

    公开(公告)日:2021-04-15

    申请号:US16600625

    申请日:2019-10-14

    Abstract: Managing network asset incidents by receiving historical network asset incident data, analyzing the historical network asset incident data to correlate incident occurrence, receiving real time network asset incident data, generating a list of network assets predicted to be affected by a real time incident, in response to receiving the real time network asset incident data, monitoring the list of network assets, and remediating a network incident for a listed network as set.

    Patching of virtual machines within sequential time windows

    公开(公告)号:US09696985B1

    公开(公告)日:2017-07-04

    申请号:US14989089

    申请日:2016-01-06

    Abstract: A method and associated system for patching virtual machines in L redundancy groups in accordance with a patching schedule. The patching schedule is generated by scheduling, in W sequential time windows, P patches applicable to the virtual machines. Each redundancy group includes virtual machines and independently belongs to a respective software application x of X software applications, wherein P≧1, L≧1, Rm≧1, and X≧1. The L redundancy groups collectively comprise at least 2 virtual machines. The scheduling determines xwmk for T tuples (w, m, k) defined by (w=1, . . . , W) and (m=1, . . . , L) and (k=1, . . . , Rm), by maximizing an objective function subject to constraints. Determining xwmk includes setting xwmk=1 if virtual machine k in redundancy group m is to be patched in time window w or setting xwmk=0 otherwise.

    MANAGING RISK IN MULTI-NODE AUTOMATION OF ENDPOINT MANAGEMENT
    7.
    发明申请
    MANAGING RISK IN MULTI-NODE AUTOMATION OF ENDPOINT MANAGEMENT 审中-公开
    管理端点管理的多节点自动化风险

    公开(公告)号:US20150200959A1

    公开(公告)日:2015-07-16

    申请号:US14503254

    申请日:2014-09-30

    CPC classification number: H04L41/50 G06F11/3442 H04L63/14

    Abstract: It is determined whether a user is authorized to carry out a management operation on a plurality of information technology assets in parallel, based on a role of the user and at least one characteristic of the management operation. A risk level of the management operation, and at least one characteristic of the plurality of information technology assets, are both determined. Based on the risk level and the at least one characteristic of the plurality of information technology assets, an execution pattern for the management operation is specified. In at least some cases, the management operation is carried out on the plurality of information technology assets in parallel, in accordance with the execution pattern.

    Abstract translation: 基于用户的角色和管理操作的至少一个特征,确定用户是否被授权并行地对多个信息技术资产进行管理操作。 确定管理操作的风险水平,以及多个信息技术资产的至少一个特征。 根据多个信息技术资产的风险等级和至少一个特征,指定管理操作的执行模式。 在至少一些情况下,根据执行模式,并行地对多个信息技术资产进行管理操作。

    Managing network system incidents

    公开(公告)号:US11088932B2

    公开(公告)日:2021-08-10

    申请号:US16600625

    申请日:2019-10-14

    Abstract: Managing network asset incidents by receiving historical network asset incident data, analyzing the historical network asset incident data to correlate incident occurrence, receiving real time network asset incident data, generating a list of network assets predicted to be affected by a real time incident, in response to receiving the real time network asset incident data, monitoring the list of network assets, and remediating a network incident for a listed network asset.

    UNDER WATER IMAGE COLOR CORRECTION

    公开(公告)号:US20210217144A1

    公开(公告)日:2021-07-15

    申请号:US16741994

    申请日:2020-01-14

    Abstract: Aspects of the present invention disclose a method for color reconstruction of individual detected objects of an underwater image using a library of reference images. The method includes one or more processors obtaining image data of a computing device that includes an underwater image. The method further includes determining a depth measurement corresponding to the underwater image. The method further includes identifying an object of the underwater image based at least in part on a shape of the object. The method further includes reconstructing one or more colors of the object of the underwater image based at least in part on a reference image.

    Predicting service delivery metrics using system performance data

    公开(公告)号:US09942103B2

    公开(公告)日:2018-04-10

    申请号:US14015007

    申请日:2013-08-30

    CPC classification number: H04L41/147 H04L41/5038 H04L41/5074

    Abstract: A method for predicting a computerized service delivery organization workload including collecting data of a computer implementing service delivery routine including overlapping samples of load values, overlapping samples of performance values, overlapping samples of event outputs, ticket values and ticket volumes, building a first correlation of said load values with said performance values for predicting new performance values based on new data, building a second correlation of said performance values with said event outputs, said ticket values and said ticket volumes, combining said first and second correlations into a third correlation for correlating said load values with a ticket volume and an event volume, and determining at least one projected event volume or projected ticket volume value using said third correlation and at least one projected load value of said computer.

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