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    • 92. 发明申请
    • METHOD AND APPARATUS FOR SENDING SELT MEASUREMENT SIGNAL, AND CONTROL DEVICE
    • 用于发送测量信号的方法和装置,以及控制装置
    • US20150229356A1
    • 2015-08-13
    • US14692420
    • 2015-04-21
    • HUAWEI TECHNOLOGIES CO., LTD.
    • Jianping TU
    • H04B3/32H04L12/24H04L12/26H04B3/487
    • H04B3/32H04B3/487H04L41/0677H04L43/0876H04M3/22H04M3/306H04M11/062
    • Embodiments of the present invention relate to a method and an apparatus for sending a single-ended loop testing SELT measurement signal, and a control device. The method for sending a SELT measurement signal includes: aligning a synchronization symbol of a digital subscriber line on which a SELT diagnosis needs to be performed with a synchronization symbol of at least one DSL line for data transmission, where the synchronization symbol of the digital subscriber line on which a SELT diagnosis needs to be performed and the synchronization symbol of the at least one digital subscriber line for data transmission are uplink or downlink synchronization symbols; and carrying a SELT measurement signal over the aligned synchronization symbol of the DSL line on which a SELT diagnosis needs to be performed, where the SELT measurement signal is used to detect transmission quality or a line fault of the DSL line.
    • 本发明的实施例涉及发送单端环路测试SELT测量信号的方法和装置,以及控制装置。 用于发送SELT测量信号的方法包括:将需要执行SELT诊断的数字用户线路的同步符号与用于数据传输的至少一条DSL线路的同步符号对准,其中数字用户的同步符号 需要执行SELT诊断的线路,用于数据传输的至少一个数字用户线路的同步符号是上行链路或下行链路同步符号; 并且在需要执行SELT诊断的DSL线路的对准同步符号上携带SELT测量信号,其中SELT测量信号用于检测DSL线路的传输质量或线路故障。
    • 95. 发明申请
    • Recommending a Suspicious Component in Problem Diagnosis for a Cloud Application
    • 在云应用问题诊断中推荐可疑组件
    • US20150199226A1
    • 2015-07-16
    • US14591031
    • 2015-01-07
    • International Business Machines Corporation
    • Hai S. WuMeng YeTao Yu
    • G06F11/07H04L12/24
    • G06F11/079G06F11/0709H04L41/0677H04L41/5019H04L43/0829
    • The present invention discloses a method and an apparatus for recommending a suspicious component in problem diagnosis for a cloud application. In the method, firstly a graph data model representing a hierarchical structure of the cloud application is constructed, wherein the graph data model comprises an application node representing the cloud application, a plurality of component nodes representing a plurality of components of the cloud application, and inter-node lines indicating inter-node relationships. Then real-time information of the cloud application is obtained, in response to detecting performance degradation of the cloud application. Impact degrees of the plurality of component nodes on the performance degradation of the cloud application is obtained based on the constructed graph data model and the obtained real-time information, and a suspicious component sequence is generated according to the impact degrees of the plurality of component nodes.
    • 本发明公开了一种用于在云应用的问题诊断中推荐可疑组件的方法和装置。 在该方法中,首先构建表示云应用的层次结构的图形数据模型,其中图形数据模型包括表示云应用的应用节点,表示云应用的多个组件的多个组件节点,以及 节点间线路指示节点间关系。 然后,针对云应用的性能下降,可以获得云应用的实时信息。 基于所构建的图形数据模型和获得的实时信息,获得多个分量节点对云应用的性能下降的影响程度,并根据多个分量的影响度生成可疑分量序列 节点。
    • 96. 发明授权
    • Connectivity fault notification
    • 连接故障通知
    • US09075717B2
    • 2015-07-07
    • US14502176
    • 2014-09-30
    • RPX Clearinghouse LLC
    • Dinesh E. Mohan, Jr.Marc Holness
    • G06F11/00G06F11/07H04L12/46H04L12/24
    • G06F11/0772H04L12/4641H04L41/0631H04L41/0663H04L41/0677H04L41/0686Y02D30/30
    • Connectivity fault notification is provided by generating an alarm indication signal at a device that is logically adjacent to the fault, and forwarding the alarm indication signal upward through various levels to at least one client level entity. The alarm indication signal may be suppressed at any level for a service instance if service is restored at that level, or if a protection path prevents disruption of the service instance at that level, or auto-suppressed at an originating node based on number of times transmitted or elapsed time. The alarm indication signal may include a point of failure indicator such as the MAC address of the device that generates the alarm indication signal, or a failed resource identity such as an IEEE 802.1AB LLDP MAC Service Access Point (“MSAP”). Further, the alarm indication signal may be employed to trigger use of the protection path.
    • 通过在与故障逻辑上相邻的设备处产生报警指示信号,并将报警指示信号向上通过各种级别转发到至少一个客户端级实体来提供连接故障通知。 如果服务在该级别被恢复,或者如果保护路径防止在该级别的服务实例的中断或者在始发节点处基于次数自动抑制,则可以在服务实例的任何级别上抑制警报指示信号 传送或消逝时间。 报警指示信号可以包括诸如生成报警指示信号的设备的MAC地址或诸如IEEE 802.1AB LLDP MAC服务接入点(“MSAP”)之类的故障资源标识的故障点指示器。 此外,可以采用报警指示信号来触发保护路径的使用。
    • 97. 发明申请
    • Method and Device for Sending Inter-Domain Fault Information
    • 发送域间故障信息的方法和装置
    • US20150186202A1
    • 2015-07-02
    • US14416341
    • 2013-06-09
    • ZTE CORPORATION
    • Mingxiu Wang
    • G06F11/07H04L12/723H04L12/24
    • G06F11/0772H04L41/0663H04L41/0677H04L41/0686H04L45/04H04L45/28H04L45/50
    • A method and apparatus for transmitting inter-domain fault information are disclosed, wherein, the method includes: a service layer LSP determining that the protection or recovery of the service layer LSP is invalid; and the service layer LSP transmitting inter-domain fault information to a client layer of the service layer, wherein the inter-domain fault information is used for indicating that the protection or recovery of the service layer LSP is invalid; and the service layer LSP and the client layer LSP belong to different AS domains. The present invention allows a client layer LSP to learn in time that the protection or recovery of a service layer LSP has failed, so that the client layer LSP protects or recovers the service layer LSP in time, shortening the time of end-to-end service failure and improving the network survivability.
    • 公开了一种用于发送域间故障信息的方法和装置,其中,所述方法包括:确定所述业务层LSP的保护或恢复无效的业务层LSP; 业务层LSP向服务层的客户层发送域间故障信息,其中,域间故障信息用于指示业务层LSP的保护或恢复无效; 服务层LSP和客户端层LSP属于不同的AS域。 本发明允许客户端层LSP及时学习到服务层LSP的保护或恢复失败,从而客户端层LSP及时保护或恢复业务层LSP,缩短了端到端的时间 服务故障,提高网络生存能力。
    • 98. 发明授权
    • Comparing node states to detect anomalies
    • 比较节点状态以检测异常
    • US09071535B2
    • 2015-06-30
    • US13733288
    • 2013-01-03
    • MICROSOFT CORPORATION
    • Somak ChattopadhyayDong WeiSuman Nath
    • G06F15/16H04L12/24
    • H04L41/145H04L41/065H04L41/0654H04L41/0677H04L41/0873H04L41/0886H04L41/5096
    • Methods, systems, and computer storage media for detecting anomalies within nodes of a data center are provided. A self-learning system is employed to proactively and automatically detect the anomalies using one or more locally hosted agents for pulling information that describes states of a plurality of nodes (e.g., computing devices of a cloud-computing infrastructure), respectively, and using at least one early-warning mechanism for implementing a comparison technique. The comparison technique involves individually comparing the state information of the plurality of the nodes against one another and, based upon the comparison, grouping one or more nodes of the plurality of nodes into clusters that exhibit substantially similar state information. Upon identifying the clusters that include low number of nodes grouped therein, with respect to a remainder of the clusters of nodes, the members of the identified clusters are designated as anomalous machines.
    • 提供了用于检测数据中心节点内的异常的方法,系统和计算机存储介质。 采用自学习系统来主动和自动地检测异常,使用一个或多个本地托管的代理分别拉取描述多个节点(例如,云计算基础设施的计算设备)的状态的信息,并使用 至少一个实施比较技术的预警机制。 比较技术包括单独地将多个节点的状态信息彼此进行比较,并且基于比较,将多个节点中的一个或多个节点分组成具有基本相似的状态信息的群集。 在识别包括分组在其中的少数节点的簇时,相对于节点簇的其余部分,所识别的簇的成员被指定为异常机器。