NETWORK DEBUGGING
    2.
    发明公开
    NETWORK DEBUGGING 有权
    网络故障排除

    公开(公告)号:EP2807563A1

    公开(公告)日:2014-12-03

    申请号:EP13741063.5

    申请日:2013-01-09

    IPC分类号: G06F11/36 G06F9/44

    摘要: A debugging system used for a data center in a network is disclosed. The system includes a monitoring engine to monitor network traffic by collecting traffic information from a network controller, a modeling engine to model an application signature, an infrastructure signature, and a task signature using a monitored log, a debugging engine to detect a change in the application signature between a working status and a non-working status using a reference log and a problem log, and to validate the change using the task signature, and a providing unit to provide toubleshooting information, wherein an unknown change in the application signature is correlated to a known problem class by considering a dependency to a change in the infrastructure signature. Other methods and systems also are disclosed.

    SYSTEM AND METHOD FOR DETERMINING APPLICATION DEPENDENCY PATHS IN A DATA CENTER
    4.
    发明公开
    SYSTEM AND METHOD FOR DETERMINING APPLICATION DEPENDENCY PATHS IN A DATA CENTER 有权
    系统和方法用于确定应用依赖性PATHS在数据中心

    公开(公告)号:EP2567316A2

    公开(公告)日:2013-03-13

    申请号:EP11778318.3

    申请日:2011-05-05

    IPC分类号: G06F9/44 G06F15/16

    摘要: A method and a system are disclosed for determining application dependency paths in a data center. The method and the system captures application traffic volume data on the servers with switches and monitoring agents; generates an application traffic matrix of all the components of the applications based on the application traffic volume data; estimates the number of the applications in the data center from the traffic matrix with a Rank Estimation via Singular Value Decomposition or Power Factorization Residue Errors process; and decomposes the traffic matrix into a first matrix and a second matrix with a non-negative matrix factorization process using the estimated number of applications. The first matrix represents a set of the components belonging to each of the applications and the second matrix represents the amount of traffic generated by each application over time. Any noise in the first and second matrices is removed with a concurrent volumes ratios based correlation process.