Bias in powering down links to a switch (in redundant topologies), allow full switch shutdown for power saving

    公开(公告)号:US20250155959A1

    公开(公告)日:2025-05-15

    申请号:US18508120

    申请日:2023-11-13

    Abstract: Devices, networks, systems, methods, and processes for determining a dynamic bias associated with a network device are described herein. A communication network may include multiple network devices and multiple links between the network devices. The communication network may further include a controller that monitors the communication network to determine dynamic changes in a network topology of the communication network. The controller determines the dynamic bias associated with the network device based on the dynamic changes. The controller generates and transmits a control signal based on the dynamic bias. The network device receives the control signal and switches an operation state of the network device, or an operation state of the links connected to the network device, based on the control signal. The controller can thereby achieve reduction in power consumption of the communication network by switching off the network device without affecting reliability and availability of the communication network.

    AUDITABLE RULE ENGINE-BASED DIAGNOSTIC TOOLS

    公开(公告)号:US20210182714A1

    公开(公告)日:2021-06-17

    申请号:US16818791

    申请日:2020-03-13

    Abstract: This disclosure describes techniques for diagnostic tools rendering auditable reasoning of underlying rule engines. A method includes a computing system running a software tool executing an iteration of an underlying rule engine of the software tool to compute at least one input fact; sending a command over a communication interface to a fact source and obtaining an output from the fact source over the communication interface; recording the output from the fact source in a diagnostic event construct; recording a reference to the diagnostic event construct in an inference construct; displaying information of the inference construct in a conclusion view user interface; and displaying information of the diagnostic event construct referenced by the inference construct in an expanded view user interface.

    OPTIMIZED DETECTION OF NETWORK DEFECT EXPOSURE IN NETWORK ENVIRONMENT

    公开(公告)号:US20200162343A1

    公开(公告)日:2020-05-21

    申请号:US16368735

    申请日:2019-03-28

    Abstract: Present technology is directed to preferred processing and the verification of diagnostic signatures for a plurality of network defect. The disclosed optimization process is based on expressing each Diagnostic Signature as a minimal sum of product Boolean function of associated network commands, followed by ranking of each command reference in the product terms of the Boolean expression as well as each Boolean product terms of the SOP Boolean expressions, and constructing a decision tree based on the provided rankings to thereby determine a minimum set of commands along with an preferred command dispatch sequence for evaluating a Diagnostic Signature. Further aspects include the translation of both the optimization computation (interpretation of network conditions associated with a network defect) and the computed workflow (dispatch of the command) into a series of declarative rules that can be processed by a machine reasoning engine to thereby automate the optimization process.

    Optimized detection of network defect exposure in network environment

    公开(公告)号:US11546227B2

    公开(公告)日:2023-01-03

    申请号:US16368735

    申请日:2019-03-28

    Abstract: Present technology is directed to preferred processing and the verification of diagnostic signatures for a plurality of network defect. The disclosed optimization process is based on expressing each Diagnostic Signature as a minimal sum of product Boolean function of associated network commands, followed by ranking of each command reference in the product terms of the Boolean expression as well as each Boolean product terms of the SOP Boolean expressions, and constructing a decision tree based on the provided rankings to thereby determine a minimum set of commands along with an preferred command dispatch sequence for evaluating a Diagnostic Signature. Further aspects include the translation of both the optimization computation (interpretation of network conditions associated with a network defect) and the computed workflow (dispatch of the command) into a series of declarative rules that can be processed by a machine reasoning engine to thereby automate the optimization process.

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