This application provides a network performance monitoring method, a network device, and a storage medium, and belongs to the field of network technologies. In this application, a forwarding plane samples network performance data based on a fine-grained time periodicity, and records a quantity of network performance exceptions; and a control plane generates, based on a coarse-grained time periodicity, an alarm when the quantity of network performance exceptions recorded by the forwarding plane is greater than a threshold. On a basis of meeting a fine-grained requirement on network performance monitoring, because the control plane does not need to report all the collected network performance data, a volume of data that needs to be reported by the control plane is greatly reduced. This resolves a problem of overload of a main control CPU that is caused by massive data reporting, and reduces dependency of the network performance monitoring on performance of the main control CPU of a device. This further resolves a problem that a large quantity of bandwidth resources are occupied due to the massive data reporting, reduces dependency of the network performance monitoring on the bandwidth resources, and helps meet a requirement for deploying a large quantity of performance monitoring nodes in a live network.

This application provides a network performance monitoring method, a network device, and a storage medium, and belongs to the field of network technologies. In this application, a forwarding plane samples network performance data based on a fine-grained time periodicity, and records a quantity of network performance exceptions; and a control plane generates, based on a coarse-grained time periodicity, an alarm when the quantity of network performance exceptions recorded by the forwarding plane is greater than a threshold. On a basis of meeting a fine-grained requirement on network performance monitoring, because the control plane does not need to report all the collected network performance data, a volume of data that needs to be reported by the control plane is greatly reduced. This resolves a problem of overload of a main control CPU that is caused by massive data reporting, and reduces dependency of the network performance monitoring on performance of the main control CPU of a device. This further resolves a problem that a large quantity of bandwidth resources are occupied due to the massive data reporting, reduces dependency of the network performance monitoring on the bandwidth resources, and helps meet a requirement for deploying a large quantity of performance monitoring nodes in a live network.

State of the art networking solutions are tightly coupled and proprietary in nature due to multiple vendors in the networking domain. Embodiments of the present disclosure provide a method and system for management and orchestration of heterogeneous network environment using dynamic, robust and network aware microservices. The method enables a platform for automatically and dynamically identifying appropriate group of microservices in accordance with network type and service type specified by the user, thus providing a solution that generates network aware microservices for each network in the heterogeneous network landscape. Furthermore, the system manages the identified microservices for each of the network by managing the life cycle of these microservices. The right life cycle management and coordination of the microservices for the network is in-line with desired goals/business logic, in a reliable and scalable manner, in heterogeneous network environments.

State of the art networking solutions are tightly coupled and proprietary in nature due to multiple vendors in the networking domain. Embodiments of the present disclosure provide a method and system for management and orchestration of heterogeneous network environment using dynamic, robust and network aware microservices. The method enables a platform for automatically and dynamically identifying appropriate group of microservices in accordance with network type and service type specified by the user, thus providing a solution that generates network aware microservices for each network in the heterogeneous network landscape. Furthermore, the system manages the identified microservices for each of the network by managing the life cycle of these microservices. The right life cycle management and coordination of the microservices for the network is in-line with desired goals/business logic, in a reliable and scalable manner, in heterogeneous network environments.

Described is an improved approach to implement fast detection of node death. Instead of just relying on multiple heart beats to fail in order to determine whether a node is dead, the present approach performs an on demand validation using RDMA to determine whether the node is reachable, where the approach of using RDMA is significantly faster than the heartbeat approach.

Described is an improved approach to implement fast detection of node death. Instead of just relying on multiple heart beats to fail in order to determine whether a node is dead, the present approach performs an on demand validation using RDMA to determine whether the node is reachable, where the approach of using RDMA is significantly faster than the heartbeat approach.

A method and apparatus for dynamically adjusting an ingestion rate for backup operations on a source system. The method generally includes monitoring a resource utilization related to one or more performance metrics of the source system in performing at least a primary workload. Based on the monitored resource utilization, the backup system determines a data ingestion rate for backup operations on the source system. The backup system ingests data from the source system to a backup repository at the determined data ingestion rate.

A method and apparatus for dynamically adjusting an ingestion rate for backup operations on a source system. The method generally includes monitoring a resource utilization related to one or more performance metrics of the source system in performing at least a primary workload. Based on the monitored resource utilization, the backup system determines a data ingestion rate for backup operations on the source system. The backup system ingests data from the source system to a backup repository at the determined data ingestion rate.

According to one configuration, a system includes provisioning hardware and a wireless station that supports communications with one or more communication devices. The wireless station receives a first notification from the provisioning system. The first notification indicating that the wireless station is assigned to a first allocation management resource. The first allocation management resource operable to allocate wireless resources for use by the wireless station to support wireless communications. The wireless station communicates with the first allocation management resource to receive allocation information indicating the wireless resources allocated for use by the wireless station. In response to receiving a second notification that the wireless station has been reassigned to a second allocation management resource, the wireless station communicates with the second allocation management resource instead of the first allocation management resource to receive the allocation information.

A method for providing data to a client computing device from an edge computing device is discussed herein. The method may include performing a network proximity check regarding the client computing device associated with a request for data captured by the wideband sensor. The method may further include determining, based on at least one proximity metric associated with the client computing device, a route for data responsive to the request for data associated with the network proximity check, where the route is one of a route including the cloud storage or a route that does not include the cloud storage. The method may also include receiving the request for data captured by the wideband sensor associated with the network proximity check. The method may also include transmitting the data responsive to the request for data captured by the wideband sensor associated with the network proximity check to the client computing device through the determined route.