摘要:
In one embodiment, a machine learning server in a computer network determines a plurality of computing features shared across a given set of computing products, and collects, from each computing product of the given set, problem-solution data for each computing feature of the plurality of computing features. Problem-solution data is indicative of problems related to a respective computing feature, attempted solution actions for the problems, and outcomes of the attempted solutions on the problem. The machine learning server updates a machine learning model of suggested solutions for computing-feature-specific problems based on the collected problem-solution data, and provides, based on the machine learning model, a particular suggested solution for a particular computing-feature-specific problem to a particular computing product. An outcome of the particular suggested solution for the particular computing-feature-specific problem on the particular computing product may then be fed back to the machine learning server as collected problem-solution data.
摘要:
Disclosed herein are systems and methods of negotiating an acceptable speed for communication between at least two Ethernet devices connected by a link. In one aspect, the method monitors the link health and status and makes a speed choice decision based on the error rate and link partner capability.
摘要:
Methods and systems are disclosed which may provide MultiGig capability to a system where a physical layer device (PHY) or a network device does not have the capacity to support all available line speeds while operating in a single system-interface mode between MAC and PHY devices.
摘要:
In one embodiment, a machine learning server in a computer network determines a plurality of computing features shared across a given set of computing products, and collects, from each computing product of the given set, problem-solution data for each computing feature of the plurality of computing features. Problem-solution data is indicative of problems related to a respective computing feature, attempted solution actions for the problems, and outcomes of the attempted solutions on the problem. The machine learning server updates a machine learning model of suggested solutions for computing-feature-specific problems based on the collected problem-solution data, and provides, based on the machine learning model, a particular suggested solution for a particular computing-feature-specific problem to a particular computing product. An outcome of the particular suggested solution for the particular computing-feature-specific problem on the particular computing product may then be fed back to the machine learning server as collected problem-solution data.
摘要:
Methods and systems are disclosed which may provide MultiGig capability to a system where a physical layer device (PHY) or a network device does not have the capacity to support all available line speeds while operating in a single system-interface mode between MAC and PHY devices.