会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 24. 发明授权
    • Determining optimal component location in a networked computing environment
    • 确定网络计算环境中的最佳组件位置
    • US08909769B2
    • 2014-12-09
    • US13408013
    • 2012-02-29
    • Rajesh Radhakrishnan
    • Rajesh Radhakrishnan
    • G06F15/173
    • H04L41/0823H04L41/12H04L43/0852
    • Service data and service management data traffic in a networked computing environment (e.g., a cloud computing environment) may flow thorough a large number of devices (e.g., storage, network, cache and other devices and appliances) when the data move from one or more source systems to one or more target systems (or end user systems). Embodiments of the present invention provide a data analysis driven approach that detects patterns in data movements, and data traffic can be used to determine placement of certain network service components such as, among others, storage devices and appliances, server devices and appliances, network devices and appliances, etc.
    • 当数据从一个或多个数据移动时,网络计算环境(例如,云计算环境)中的服务数据和服务管理数据流量可能会流过大量设备(例如,存储,网络,缓存和其他设备和设备) 源系统到一个或多个目标系统(或最终用户系统)。 本发明的实施例提供了一种数据分析驱动方法,其检测数据移动中的模式,并且可以使用数据流量来确定某些网络服务组件(诸如存储设备和设备,服务器设备和设备,网络设备 电器等
    • 25. 发明申请
    • NETWORK SERVICE FUNCTIONALITY MONITOR AND CONTROLLER
    • 网络服务功能监控和控制器
    • US20130339515A1
    • 2013-12-19
    • US13495640
    • 2012-06-13
    • Rajesh Radhakrishnan
    • Rajesh Radhakrishnan
    • G06F15/173
    • H04L41/142H04L41/064H04L41/0816H04L41/147
    • A system and method is disclosed for controlling functionality of a computer network to avoid occurrence of resource or service incidents that degrade or disrupt operation of the network. The metrics monitored are formulated into control charts. Nelson like rules analyze the control charts to identify abnormal service events and abnormal resource events. The identified abnormal service events and abnormal resource events are analyzed using various analytic modes to identify potential resource incidents and potential service incidents. The analytic modes include covariate analysis, multivariate analysis, time series analysis and similar analytic techniques. Information on the abnormal service and abnormal resource events and the information on the potential service incidents/potential resource incidents are forwarded to a control or decision center to guide actions by an autonomic system or human operator to prevent the identified potential resource incidents and potential service incidents from degrading or disrupting operation of the network.
    • 公开了一种用于控制计算机网络的功能以避免发生降级或中断网络操作的资源或服务事件的系统和方法。 监控的指标被制定为控制图。 Nelson喜欢规则分析控制图,以识别异常服务事件和异常资源事件。 使用各种分析模式分析识别的异常服务事件和异常资源事件,以识别潜在的资源事件和潜在的服务事件。 分析模式包括协变量分析,多变量分析,时间序列分析和类似分析技术。 关于异常服务和异常资源事件的信息以及有关潜在服务事件/潜在资源事件的信息被转交给控制或决策中心,以指导自治系统或人为操作者的行动,以防止所识别的潜在资源事件和潜在服务事件 从网络的劣化或中断操作。