Intel Corporation

Malek Musleh

Roberto Penaranda Cebrian

Robert G Southworth

Pedro Yebenes Segura

Arvind Srinivasan

Changhoon Kim

Jeongkeun Lee

Rong Pan

Allister Alemania

Sujoy Sen

Parthasarathy Sarangam

Mrittika Ganguli

Ramakrishna Huggahalli

Gene Wu

Anupama Kurpad

Curt E Bruns

Sunil Ahluwalia

Examples described herein relate to a network agent, when operational, to: receive a packet, determine transmit rate-related information for a sender network device based at least on operational and telemetry information accumulated in the received packet, and transmit the transmit rate-related information to the sender network device. In some examples, the network agent includes a network device coupled to a server, a server, or a network device. In some examples, the operational and telemetry information comprises: telemetry information generated by at least one network device in a path from the sender network device to the network agent.

Receiver-based precision congestion control

Examples described herein relate to a switch, when operational, that is configured to receive in a packet an indicator of number of remaining bytes in a flow and to selectively send a congestion message based on a fullness level of a buffer and indication of remainder of the flow. In some examples, the indicator is received in an Internet Protocol version 4 consistent Options header field or Internet Protocol version 6 consistent Flow label field. In some examples, the congestion message comprises one or more of: an Explicit Congestion Control Notification (ECN), priority-based flow control (PFC), and/or in-band telemetry (INT). In some examples, to selectively send a congestion message to a transmitter based on a fullness level of a buffer that stored the packet and the number of remaining bytes in flow, the switch is to determine whether the buffer is large enough to store the remaining bytes in the flow.

Selective congestion notification by a network interface device

Methods for improving end-to-end congestion reaction using adaptive routing and congestion-hint based throttling for IP-routed datacenter networks and associated apparatus. In connection with forwarding packets between sending and receiving endpoints coupled to one or more networks, one or more network switches are configured to detect current or approaching congestion conditions, generate congestion notification packets (CNPs), and return the CNPs to sending endpoints. The CNPs may be routed using one or more adaptive routing mechanisms to forward the CNPs along non-congested paths or may be forwarded along a fastest path to a sender. The CNPs further may comprise meta-data including a flow identifier associated with a packet sent from an endpoint, a congestion level for the flow, and a timestamp. CNPs may comprise unreliable datagrams that may be received out-of-order, with the timestamps being used to determine whether CNPs should be disregarded at a switch along the forwarding path to the sending endpoint or at the sending endpoint. Endpoint network interfaces implement a congestion-CNP table storing entries associating congested flows with congestion levels.

Improving end-to-end congestion reaction using adaptive routing and congestion-hint based throttling for IP-routed datacenter networks

A switch or network interface can detect congestion caused by a flow of packets. The switch or network interface can generate a congestion hint packet and send the congestion hint packet directly to a source transmitter of the flow of packets that caused the congestion. The congestion hint packet can include information that the source transmitter can use to determine a remedial action to attempt to alleviate or stop congestion at the switch or network interface. For example, the transmitter can reduce a transmit rate of the flow of packets and/or select another route for the flow of packets. Some or all switches or network interfaces between the source transmitter and a destination endpoint can employ flow differentiation whereby a queue is selected to accommodate for a flow's sensitivity to latency.

Techniques for congestion management in a network

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Portland, OR, United States of America

Malek Musleh