Monitoring an operational characteristic of a data communication device within a network includes sampling an operational characteristic of the data communication device at a fine-grain sample rate over a first sampling interval to produce fine-grain samples of the operational characteristic of the data communication device, training a machine learning algorithm using the fine-grain samples of the operational characteristic of the data communication device, the fine-grain sample rate, and a coarse-grain sample rate that is less than the fine-grain sample rate, sampling the operational characteristic of the data communication device at the coarse-grain sample rate over a second sampling interval to produce coarse-grain samples of the operational characteristic of the data communication device, and using the machine learning algorithm to process the coarse-grain samples of the operational characteristic of the data communication device to produce accuracy-enhanced samples of the operational characteristic of the data communication device.

Technologies for quality of service based throttling in a fabric architecture include a network node of a plurality of network nodes interconnected across the fabric architecture via an interconnect fabric. The network node includes a host fabric interface (HFI) configured to facilitate the transmission of data to/from the network node, monitor quality of service levels of resources of the network node used to process and transmit the data, and detect a throttling condition based on a result of the monitored quality of service levels. The HFI is further configured to generate and transmit a throttling message to one or more of the interconnected network nodes in response to having detected a throttling condition. The HFI is additionally configured to receive a throttling message from another of the network nodes and perform a throttling action on one or more of the resources based on the received throttling message. Other embodiments are described herein.

Some embodiments of the invention provide a forwarding element that can be configured through in-band data-plane messages from a remote controller that is a physically separate machine from the forwarding element. The forwarding element of some embodiments has data plane circuits that include several configurable message-processing stages, several storage queues, and a data-plane configurator. A set of one or more message-processing stages of the data plane are configured (1) to process configuration messages received by the data plane from the remote controller and (2) to store the configuration messages in a set of one or more storage queues. The data-plane configurator receives the configuration messages stored in the set of storage queues and configures one or more of the configurable message-processing stages based on configuration data in the configuration messages.

A path control device controls a plurality of paths for transmitting signals through a network including a plurality of signal transfer devices that transfer signals while switching a first transmission period during which high-priority traffic can be transmitted and a second transmission period during which low-priority traffic can be transmitted. The path control device includes: a calculation unit that calculates a plurality of paths through which signals are transferred, based on network configuration information indicating a configuration of the network; an estimation unit that estimates paths for low-priority traffic so as to increase the number of low-priority traffic flows to be transferred during a predetermined period through the plurality of paths calculated by the calculation unit, in a case in which the plurality of signal transfer devices detect an end of high priority traffic in the first transmission period, in accordance with statistical values in the second transmission period based on a transmission schedule made to change the first transmission period after the end of high-priority traffic to the second transmission period; and a determination unit that determines, for each of the plurality of signal transfer devices, output destination setting information such that the paths estimated by the estimation unit are set to an output destination of low-priority traffic.

Technologies for accelerating edge device workloads at a device edge network include a network computing device which includes a processor platform that includes at least one processor which supports a plurality of non-accelerated function-as-a-service (FaaS) operations and an accelerated platform that includes at least one accelerator which supports a plurality of accelerated FaaS (AFaaS) operation. The network computing device is configured to receive a request to perform a FaaS operation, determine whether the received request indicates that an AFaaS operation is to be performed on the received request, and identify compute requirements for the AFaaS operation to be performed. The network computing device is further configured to select an accelerator platform to perform the identified AFaaS operation and forward the received request to the selected accelerator platform to perform the identified AFaaS operation. Other embodiments are described and claimed.

Some embodiments provide a method for quantifying quality of several service classes provided by a link between first and second forwarding nodes in a wide area network (WAN). At a first forwarding node, the method computes and stores first and second path quality metric (PQM) values based on packets sent from the second forwarding node for the first and second service classes. The different service classes in some embodiments are associated with different quality of service (QoS) guarantees that the WAN offers to the packets. In some embodiments, the computed PQM value for each service class quantifies the QoS provided to packets processed through the service class. In some embodiments, the first forwarding node adjusts the first and second PQM values as it processes more packets associated with the first and second service classes. The first forwarding node also periodically forwards to the second forwarding node the first and second PQM values that it maintains for the first and second service classes. In some embodiments, the second forwarding node performs a similar set of operations to compute first and second PQM values for packets sent from the first forwarding node for the first and second service classes, and to provide these PQM values to the first forwarding node periodically.

Techniques are generally described for network pattern matching. In various examples, first data may be sent over a network at a first bit rate to a second device. A plurality of network congestion profiles of the network may be stored in a memory. Network conditions of the network may be determined over a first period of time. A correlation between the network conditions and a first network congestion profile of the plurality of network congestion profiles may be determined. A second bit rate may be determined based on the first network congestion profile. Second data may be sent over the network to the second device at the second bit rate.

An improved network architecture for minimizing latency of preparing and sending data to a network over a physical medium. A system for communicating messages over a network may create and store ready-to-send data packets in a data buffer next to or as close as possible, either physically and/or logically, to a MAC component. The MAC component may then receive the data packet directly from the data buffer and encapsulate the data packet into a frame suitable for transmission to the network. The data packet is modifiable while being stored in the data buffer prior to transmission to the network.

Some embodiments provide a method for quantifying quality of several service classes provided by a link between first and second forwarding nodes in a wide area network (WAN). At a first forwarding node, the method computes and stores first and second path quality metric (PQM) values based on packets sent from the second forwarding node for the first and second service classes. The different service classes in some embodiments are associated with different quality of service (QoS) guarantees that the WAN offers to the packets. In some embodiments, the computed PQM value for each service class quantifies the QoS provided to packets processed through the service class. In some embodiments, the first forwarding node adjusts the first and second PQM values as it processes more packets associated with the first and second service classes. The first forwarding node also periodically forwards to the second forwarding node the first and second PQM values that it maintains for the first and second service classes. In some embodiments, the second forwarding node performs a similar set of operations to compute first and second PQM values for packets sent from the first forwarding node for the first and second service classes, and to provide these PQM values to the first forwarding node periodically.

A method and a traffic processing unit (200) for handling traffic in a communication network when the traffic is distributed across a set of traffic processing units. When receiving a packet of a traffic flow distributed to said traffic processing unit, the traffic processing unit (200) assigns a packet class to the received packet, which class can be active or inactive in the traffic processing unit. The traffic processing unit obtains state information of the assigned packet class. If the packet class is detected as active the state information is retrieved from a local storage (200C) in the traffic processing unit, and if the packet class is detected as inactive the state information is fetched from a central storage (204). The traffic processing unit then performs stateful packet processing of the received packet based on the obtained state information.