In one embodiment, a supervisory service for a software-defined wide area network (SD-WAN) obtains telemetry data from one or more edge devices in the SD-WAN. The service trains, using the telemetry data as training data, a machine learning-based model to predict tunnel failures in the SD-WAN. The service receives feedback from the one or more edge devices regarding failure predictions made by the trained machine learning-based model. The service retrains the machine learning-based model, based on the received feedback.

A video encoding device (e.g., a wireless transmit/receive unit (WTRU)) may transmit an encoded frame with a frame sequence number using a transmission protocol. The video encoding device, an application on the video encoding device, and/or a protocol layer on the encoding device may detect a packet loss by receiving an error notification. The packet loss may be detected at the MAC layer. The packet loss may be signaled using spoofed packets, such as a spoofed NACK packet, a spoofed XR packet, or a spoofed ACK packet. A lost packet may be retransmitted at the MAC layer (e.g., by the encoding device or another device on the wireless path). Packet loss detection may be performed in uplink operations and/or downlink operations, and/or may be performed in video gaining applications via the cloud. The video encoding device may generate and send a second encoded frame based on the error notification.

Systems and methods are described herein for modifying cell definition tables with telecommunications networks. In response to a handover failure between cells of the network, the systems and methods determine changes have been made to a network, such as changes to various identification information for cells associated with a controlling (or serving) node of the network. For example, the systems and methods utilize ANR functions to detect the changes to the network.

An information processing apparatus includes a processor that obtains a flow table from a switch apparatus that processes packets by using the flow table. The processor creates, for each flow registered with the flow table, a verification packet based on identification information that identifies each flow. The processor determines a number of verification packets based on a count value that represents a number of actual packets that have arrived at the switch apparatus. The processor generates the number of verification packets for each flow by copying the verification packet created for each flow. The processor determines transmission order of the generated verification packets based on the count value for each flow and time information that represents a time when a final actual packet of each flow has arrived at the switch apparatus.

Systems and methods for implementing stateful services using cloud-based resources are described. A server computing system determines existence of a first volume based on a launch of a first instance by an auto-scaling group (ASG). The first volume is to have a resource tag having a value similar to a value of a resource tag of the ASG. The first volume was previously attached to a second instance terminated by the ASG. Based on a successful determination of the existence of the first volume, the server computing system attaches the first volume to the first instance. Based on a failed determination of the existence of the first volume, the server computing system generates a second volume, attaches the second volume to the first instance, and set a resource tag of the second volume to a value similar to the value of the resource tag of the ASG.

A method and apparatus for adjusting network flow are provided. An embodiment of the method may include: in response to the server meeting a network flow adjustment condition, acquiring network flow-related information of the server; determining network flow adjustment operations based on the network flow-related information, wherein the network flow adjustment operations indicate to determine at least one level of downlink flow from a plurality of levels of downlink flows according to an ascending order of the plurality of levels of downlink flows, to perform network flow downregulation on the determined at least one level of downlink flow, the at least one level not comprising a highest level in the plurality of levels, and in any two levels of downlink flows, a value of a downlink flow of a higher level being greater than a value of a downlink flow of a lower lever; and performing, according to a sequential order of operations in the network flow adjustment operations, at least one operation in the network flow adjustment operations.

Systems and methods for data path retention during control plane failures in a Multiprotocol Label Switching (MPLS) network include, in a network element, operating an MPLS service on a data path in the MPLS network in an initial stage with both a control plane and a data plane operating normally; responsive to a failure affecting only the control plane, switching the MPLS service to an Ethernet Line (ELINE) service which is configured on the data path; and, responsive to a recovery of the control plane, switching the ELINE service back to the MPLS service.

A method of managing a computer network is described. The method comprising: identifying a characteristic of data traffic being sent over the computer network; and applying a policy to at least part of the network, the policy defining the operation of at least part of the network in event of a failure within the network and being defined on the basis of the characteristic of the data traffic.

The present disclosure provides a method and a system for triggering of Internet of things (IoT) devices. The system comprising a processor causes the processor to receive a change in output of first IoT device from a plurality of IoT devices, wherein the plurality of IoT devices are connected to each other, determine one or more connectivity paths between the plurality of IoT devices including the first IoT device based on stored connectivity paths between the plurality of IoT devices in a database, select one of the determined one or more connectivity paths between the plurality of IoT devices, wherein the selecting is based on similarity of metadata of each of the plurality of IoT devices in each of the one or more connectivity paths and trigger one or more IoT devices of the plurality of IoT devices in the selected connectivity path.

Techniques are provided for load balancing for IP failover. A backend address of a first node is identified as a routing destination to which a request is to be routed by a load balancer based upon a load balancer rule mapping a frontend address, specified by the request as a request destination, to the backend address of the first node. The request is routed to a primary network interface of the first node using the backend address. The first node has a loopback interface with an address matching the frontend address for routing the request to a destination data structure based upon the request maintaining the frontend address as the request destination. Health probes are used by the load balancer for detecting a failure of the first node in order to failover to routing requests to a second backend address of a second node.