Techniques for identifying and remedying performance issues of Virtualized Network Functions (VNFs) are discussed. An example method includes outputting a request to a network Element Manager (EM) to create a Virtualized Network Function (VNF) Performance Measurement (PM) job to collect VNF PM data from a VNF and receiving a set of VNF PM data associated with the VNF from the EM. The set of VNF PM data is processed associated with the VNF. A request to the EM is output to create a Virtualization Resource (VR) PM job to collect, through a VNF Manager (VNFM) and a virtualized infrastructure manager (VIM), VR PM data from a VR used by the VNF. Then a set of VR PM data is received from the EM and processed.

Techniques for identifying and remedying performance issues of Virtualized Network Functions (VNFs) are discussed. An example method includes outputting a request to a network Element Manager (EM) to create a Virtualized Network Function (VNF) Performance Measurement (PM) job to collect VNF PM data from a VNF and receiving a set of VNF PM data associated with the VNF from the EM. The set of VNF PM data is processed associated with the VNF. A request to the EM is output to create a Virtualization Resource (VR) PM job to collect, through a VNF Manager (VNFM) and a virtualized infrastructure manager (VIM), VR PM data from a VR used by the VNF. Then a set of VR PM data is received from the EM and processed.

A method for testing a network device using a variable traffic burst profile includes providing for user selection of at least one type of simulated traffic to be transmitted to a network device under test (DUT). The method further includes receiving user input regarding selection of the type of simulated traffic. The method further includes providing for user selection of a transmission rate for transmitting the simulated traffic to the DUT. The method further includes receiving user input regarding selection of the transmission rate. The method further includes transmitting the simulated traffic to the DUT according to the selected traffic type, the selected transmission rate, and a variable traffic burst profile.

A network monitoring system may receive a configuration request to generate a configuration file associated with collecting feature or debug data associated with a feature, hardware, or software associated with a network device. The network monitoring system may determine a command profile associated with the feature, hardware, or software that identifies a set of commands associated with obtaining the feature or debug data from the network device. The network monitoring system may determine respective parameters of one or more commands of the set of commands. The network monitoring system may determine, based on the respective parameters, respective arguments of the one or more commands. The network monitoring system may generate the configuration file based on the respective arguments and may perform an action associated with the configuration file to permit the configuration file to be used to collect the feature or debug data from the network device.

A method and system for predicting the geographic location of a network entity are described. Examples include predicting the geographic location of a network entity by directing the network entity to transmit one or more data packets to a number of predetermined network identifiers, such as IP addresses, where data corresponding to each of the network identifiers is part of a geographic location prediction model. In examples, a dataset that represents transit times for the data packets transmitted from the network entity to the hosts identified by the IP addresses is determined, and a geographic location for the network entity is predicted by applying the geographic location prediction model to the dataset.

A method and system for predicting the geographic location of a network entity are described. Examples include predicting the geographic location of a network entity by directing the network entity to transmit one or more data packets to a number of predetermined network identifiers, such as IP addresses, where data corresponding to each of the network identifiers is part of a geographic location prediction model. In examples, a dataset that represents transit times for the data packets transmitted from the network entity to the hosts identified by the IP addresses is determined, and a geographic location for the network entity is predicted by applying the geographic location prediction model to the dataset.

Disclosed is a computing apparatus implemented with a network hypervisor implementing software defined network (SDN)-based network virtualization. The computing apparatus include a statistics virtualization module configured to provide individual statistics to each of created virtual networks, a transmission disaggregation module configured to include a physical statistics cache that performs periodic monitoring of a plurality of physical switches and store statistics of the physical switches collected, and a physical statistics aggregation module configured to respond with statistics of the plurality of physical switches when a single monitoring request.

Aspects of the subject disclosure may include, for example, a method in which a processing system identifies a set of target users of user equipment communication devices (UEs), based on reports from the UEs regarding a quality of service (QoS) experienced by the respective UEs; obtaining from internal sources a set of key performance indicators (KPIs) for the communication network; correlating information received from external sources with the data obtained from the internal sources to validate the reports from the UEs; and recommending, in accordance with data records generated by the correlating, an action to improve the QoS for a UE of the set of UEs, where the action includes a modification of the UE and/or a reconfiguration of the network. Other embodiments are disclosed.

Embodiments of this application provide a bit-forwarding ingress router, a bit-forwarding router, and an OAM test method, and pertain to the field of multicast networks. A first BFR receives an OAM request packet from a BFIR; the first BFR determines, according to the OAM request packet, that a destination BFR corresponding to the OAM request packet is the first BFR; and the first BFR obtains a first OAM response packet according to an ID of the BFIR, and sends the first OAM response packet to the BFIR. According to the method and the apparatus that are provided in the embodiments of this application, a problem that a BFIR cannot diagnose or handle a transmission fault when the fault occurs during transmission of a multicast packet can be resolved, which helps implement connectivity testing by using an OAM packet and enables testing of multiple BFERs.

Embodiments of this application provide a bit-forwarding ingress router, a bit-forwarding router, and an OAM test method, and pertain to the field of multicast networks. A first BFR receives an OAM request packet from a BFIR; the first BFR determines, according to the OAM request packet, that a destination BFR corresponding to the OAM request packet is the first BFR; and the first BFR obtains a first OAM response packet according to an ID of the BFIR, and sends the first OAM response packet to the BFIR. According to the method and the apparatus that are provided in the embodiments of this application, a problem that a BFIR cannot diagnose or handle a transmission fault when the fault occurs during transmission of a multicast packet can be resolved, which helps implement connectivity testing by using an OAM packet and enables testing of multiple BFERs.