H04L43/103

Task processing utilizing queues
11544112 · 2023-01-03 · ·

A system includes a plurality of queues configured to hold tasks and state information associated with such tasks. The system further includes a plurality of listeners configured to query one of the plurality of queues for a task, receive, in response to querying one of the plurality of queues for a task, a task together with state information associated with the task, effect processing of the received task, and communicate a result of the received task to another queue of the plurality of queues, the another queue of the plurality of queues being selected based on the processing of the received task.

Task processing utilizing queues
11544112 · 2023-01-03 · ·

A system includes a plurality of queues configured to hold tasks and state information associated with such tasks. The system further includes a plurality of listeners configured to query one of the plurality of queues for a task, receive, in response to querying one of the plurality of queues for a task, a task together with state information associated with the task, effect processing of the received task, and communicate a result of the received task to another queue of the plurality of queues, the another queue of the plurality of queues being selected based on the processing of the received task.

NETWORK ADAPTIVE MONITORING

A system is disclosed for network management automation using network intent or adaptive monitoring automation. Network intent (NI) represents a network design and baseline configuration for that network or network devices with an ability to diagnose deviation from the baseline configuration. The NI can be automated to update and replicate the diagnosis. The monitoring of the network can be adapted to capture network problems in advance with adaptive monitoring automation.

Monitoring and detecting causes of failures of network paths

Generally described, systems and methods are provided for monitoring and detecting causes of failures of network paths. The system collects performance information from a plurality of nodes and links in a network, aggregates the collected performance information across paths in the network, processes the aggregated performance information for detecting failures on the paths, analyzes each of the detected failures to determine at least one root cause, and initiates a remedial workflow for the at least one root cause determined. In some aspects, processing the aggregated information may include performing a statistical regression analysis or otherwise solving a set of equations for the performance indications on each of a plurality of paths. In another aspect, the system may also include an interface which makes available for display one or more of the network topology, the collected and aggregated performance information, and indications of the detected failures in the topology.

Monitoring and detecting causes of failures of network paths

Generally described, systems and methods are provided for monitoring and detecting causes of failures of network paths. The system collects performance information from a plurality of nodes and links in a network, aggregates the collected performance information across paths in the network, processes the aggregated performance information for detecting failures on the paths, analyzes each of the detected failures to determine at least one root cause, and initiates a remedial workflow for the at least one root cause determined. In some aspects, processing the aggregated information may include performing a statistical regression analysis or otherwise solving a set of equations for the performance indications on each of a plurality of paths. In another aspect, the system may also include an interface which makes available for display one or more of the network topology, the collected and aggregated performance information, and indications of the detected failures in the topology.

SERVER DELAY CONTROL DEVICE, SERVER DELAY CONTROL METHOD, AND PROGRAM
20230029932 · 2023-02-02 ·

Provided is a server delay control device deployed in a kernel of an OS of a server. The OS includes: the kernel; a ring buffer managed by the kernel, in a memory space in which the server deploys the OS; and a poll list in which packet arrival information indicative of the presence of a packet in the ring buffer is to be registered. The server delay control device spawns a thread configured to monitor a packet arrival according to a polling model. The thread includes: a packet arrival monitoring part configured to monitor whether the packet arrival information has been registered in the poll list, and a packet dequeuer configured to, when the packet arrival information has been registered in the poll list, dequeue the packet from the ring buffer on the basis of the packet arrival information.

Machine learning approach for dynamic adjustment of BFD timers in SD-WAN networks

In one embodiment, a device obtains performance data regarding failures of a tunnel in a network. The device generates a failure profile for the tunnel by applying machine learning to the performance data regarding the failures of the tunnel. The device determines, based on the failure profile for the tunnel, whether the tunnel exhibits failure flapping behavior. The device adjusts one or more Bidirectional Forwarding Detection (BFD) probing timers used to detect failures of the tunnel, based on the determination as to whether the tunnel exhibits failure flapping behavior.

Machine learning approach for dynamic adjustment of BFD timers in SD-WAN networks

In one embodiment, a device obtains performance data regarding failures of a tunnel in a network. The device generates a failure profile for the tunnel by applying machine learning to the performance data regarding the failures of the tunnel. The device determines, based on the failure profile for the tunnel, whether the tunnel exhibits failure flapping behavior. The device adjusts one or more Bidirectional Forwarding Detection (BFD) probing timers used to detect failures of the tunnel, based on the determination as to whether the tunnel exhibits failure flapping behavior.

Detection of network hops and latency through an opaque tunnel and detection misconfiguration of tunnels

Techniques for using traceroute with tunnels and cloud-based systems for determining measures of network performance are presented. Systems and methods include requesting a trace to a destination with a signature inserted into a trace packet; receiving a response to the trace packet; when the response does not include tunnel info, providing details in the response to a service where the details include parameters associated with a service path between the client and the destination; and, when the response includes tunnel info, segmenting the service path into a plurality of legs, causing a trace for each of the plurality of legs, and aggregating details for each of the plurality of legs based on the causing.

Dynamic adjustment of keep-alive messages for efficient battery usage in a mobile network

A method for IP [=Internet Protocol] communication between a mobile terminal and its correspondent node in a mobile radio network. The method comprises establishing an IP connection between the mobile terminal and its correspondent node. After detecting a period of inactivity in the IP connection, keep-alive messages are sent via the IP connection at predetermined intervals, which are varied. The method comprises monitoring the lengths of several periods of inactivity at which the mobile radio network disconnects the IP connection.