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.

In various implementations, provided are systems and methods for an integrated circuit including a completer device, a requester device, and an interconnect fabric. The requester device is configured to generate transactions to the completer device, where each transaction includes a request packet that includes an attribute associated with the completer device; and the interconnect fabric is coupled to the requester device and the completer device. The integrated circuit can also include a QoS regulator configured to identify, based on a first attribute associated with the completer device, a first QoS value establishing a first priority level for a first request packet generated by the requester device, and modify the first request packet to include the first QoS value.

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.

A network and method for connecting devices on a Local Area Network (“LAN”) to the Internet via a Network Address Translation (“NAT”) enabled gateway and server. The gateway includes an Internet address for enabling the gateway to be addressed by the server and the LAN. A plurality of ports on the gateway enables the gateway to receive and transmit data to and from the server and the LAN. A processor divides the ports on the gateway into at least a first range and a second range of port numbers. Classified traffic identified as suitable for a higher level of QoS is assigned to the first range of port numbers, and classified traffic identified as suitable for a lower level of QoS is assigned to the second range. The gateway provides devices on the LAN with a level of QoS depending upon the port numbers to which they are assigned.

A computer-implemented method for repurposing one or more software configurable layer 2 switches in an IP (Internet Protocal) computer network to function as a layer 1 switch. Ternary Content-Addressable Memory (TCAM) is reconfigured in each of the one or more layer 2 switches and one or more pipeline engines are routed to emulate layer 1 switching functionality in each of the one or more layer 2 switches.

A device and method and system for dynamically processing a random access response (RAR) signal to perform wireless communications is disclose. In some embodiments, the device is configured to receive one or multiple random access response (RAR) signals, wherein when the processor receives multiple RAR signals, it selects a RAR signal and responses to the selected RAR signal based on a content of the one or multiple RAR signals and proceeds with subsequent wireless communication using information contained in the selected RAR signal.

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.

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.

Increased fairness for small vs large NVMe IO commands for accessing a non-volatile memory namespace provided by a network attached storage appliance can be realized by placing NVMe submissions received by a NVMe SQ on a first fabric queue set or a second fabric queue set based on a fairness policy. The first fabric queue set accesses the namespace via a first fabric connection. The second fabric queue set accesses the namespace via a second fabric connection. Accessing the namespace via the fabric connections results in NVMe completions that are merged from the fabric queue sets onto an NVMe completion queue. A process producing the NVMe submissions and receiving the resulting NVMe completions may be unaware of the multiple fabric queue sets.

Networking methods and systems include determining a first state of a connection on a first network based on connection buffers at a host. A first system call relating to the connection is identified. A next state of the connection that would result from the first system call is determined. The first system call is executed responsive to a determination that the next state does not move the connection farther from a safe transition state.