A method and apparatus for cell update while in a Cell_FACH state are disclosed. After selecting a target cell, system information is read from the target cell including high speed downlink shared channel (HS-DSCH) common system information. A radio network temporary identity (RNTI) received in a source cell is cleared and a variable HS_DSCH_RECEPTION is set to TRUE. An HS-DSCH medium access control (MAC-hs) entity is configured based on the HS-DSCH common system information. High speed downlink packet access (HSDPA) transmission is then received in the target cell. A CELL UPDATE message is sent to notify of a cell change. The HSDPA transmission may be received using a common H-RNTI broadcast in the system information, a reserved H-RNTI as requested in a CELL UPDATE message, or a temporary identity which is a subset of a U-RNTI. The MAC-hs entity may be reset.

A hierarchical wireless network is provided with a mesh backbone network portion and a switching tree network portion, The mesh backbone network portion includes first tier nodes each having at least one wireless link to another first tier node, The first tier nodes execute a link-state protocol for routing packets, The switching tree network portion includes second tier nodes each having a single wireless link to one first tier node and at least one wireless link to one third tier node, and third tier nodes each having a single wireless link to one second tier node. The second tier and the third tier nodes execute switching rules for switching packets,

A network routing table includes destination addresses of destination applications hosted on peer nodes of a network. A primary processor registers a first destination application and a second destination application, where the first destination application is the same as the second destination application and both the first destination application and the second destination application have the same destination address. That processor also provides the peer nodes and a secondary processor with a copy of the table. When the first destination application is inactivated, all peer nodes and the secondary processor are provided with a copy of an updated routing table indicating inactivation of the first destination application and routing of the application message to the second destination application. A further application message addressed from any of the peer nodes to the destination address associated with the inactivated first destination application will be routed, via the updated routing table, to the second destination application having the same destination address as the inactivated first destination application. The secondary processor provides the copy of the routing table and the copy of the updated routing table in case of failure of the primary processor in response to a request from the querying peer node.

Accommodation design for wavelength and sub-λ paths in a communication network is performed. If sub-λ path accommodation is possible according to search for a wavelength path present in a single-hop logical route, the accommodation in the wavelength path is executed. If sub-λ path accommodation is possible according to search for a wavelength path present in a multi-hop logical route, a logical route is selected based on the wavelength path and the sub-λ path is accommodated in the wavelength path. Additionally, each physical route suitable for the sub-λ path accommodation is searched for. If the route can accommodate a wavelength path set in a single-hop logical route by available wavelength allocation, the sub-λ path is accommodated in the wavelength path. Furthermore, routes in consideration of overlapping of nodes, pipelines, and links and operation rate are selected based on information about the start and end nodes of each of redundant routes.

Methods for balancing storage data traffic in a system in which at least one computing device (server) coupled to a converged network accesses at least one storage device coupled (by at least one adapter) to the network, systems configured to perform such methods, and devices configured to implement such methods or for use in such systems. Typically, the system includes servers and adapters, and server agents implemented on the servers and adapter agents implemented on the adapters are configured to detect and respond to imbalances in storage and data traffic in the network, and to redirect the storage data traffic to reduce the imbalances and, thereby to improve the overall network performance (for both data communications and storage traffic). Typically, each agent operates autonomously (except in that an adapter agent may respond to a request or notification from a server agent), and no central computer or manager directs operation of the agents.

Presented herein are techniques performed in a network comprising a plurality of network nodes each configured to apply one or more service functions to traffic that passes the respective network nodes in a service path. At a network node, an indication is received of a failure or degradation of one or more service functions or applications applied to traffic at the network node. Data descriptive of the failure or degradation is generated. A previous service hop network node at which a service function or application was applied to traffic in the service path is determined. The data descriptive of the failure or degradation is communicated to the previous service hop network node.

The present disclosure generally relates to a first network device in a primary region that can failover network traffic into a second network device in a failover region. The first network device can receive routing criteria identifying how traffic originating in the primary region should be routed. The first network device can transmit this routing criteria to the second network device in the failover region. Based on determining the occurrence of a failover event, the first network device may transmit network traffic originating in the primary region to the second network device in the failover region. The second network device can determine how to route the network traffic based on the routing criteria of the primary region. In some embodiments, the second network device can determine how to route the network traffic based on the routing criteria of the failover region.

A packet processing method and a gateway device are provided. The method includes: A first gateway device receives, by using a first link, a first one-arm BFD echo packet returned by a network device, where the first one-arm BFD echo packet includes identification information, and the identification information is used to uniquely identify a second gateway device. The first gateway device determines, based on the identification information, to forward the first one-arm BFD echo packet to the second gateway device. The first gateway device sends the first one-arm BFD echo packet to the second gateway device. The network device is multi-homed connected to the first gateway device and the second gateway device. The first gateway device and the second gateway device form a multi-active gateway. According to the method, efficiency of detecting, by using a one-arm BFD echo session in a VXLAN multi-active gateway scenario is improved.

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.

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.