Hewlett Packard Enterprise Development LP

Jonathan P Beecroft

Abdulla M Bataineh

David Charles Hewson

Anthony M Ford

Thomas L Court

Trevor Alan Jones

Edward J Turner

Duncan Roweth

Robert L Alverson

Andrew Steven Kopser

Edwin L Froese

Timothy J Johnson

Joseph F Orth

Joseph G Kopnick

Gregory Faanes

Michael Higgins

Steven L Scott

James Reinhard

Methods and systems are provided for controlling wide LAG and ECMP in a network. At the ingress edge of the network, a switch can identify packets as LAG or ECMP packets, and allow them to be forwarded through the switch fabric using multiple output ports or paths.

Method and system for facilitating wide LAG and ECMP control

In certain embodiments, a method includes identifying, by a NIC of a node where application sender of an application executes, a network data unit for telemetry metadata insertion based on performing a match operation on information associated with the network data unit, wherein the network data unit is being transmitted from the application sender to an application receiver executing on another node; inserting, based on a first success of the first match operation, telemetry metadata into the network data unit, the telemetry metadata comprising network information and application specific information; stripping, by a last hop device along the data flow path, the telemetry metadata from the network data unit; generating, by the last hop device, a telemetry metadata report using the telemetry metadata; and providing the telemetry metadata report to an application collector executing on the second node.

Application specific network telemetry and diagnostics

Systems and methods for dynamic buffer management in switches that facilitate a data-driven intelligent networking system are provided. The system can accommodate dynamic traffic with fast, effective congestion control while providing efficient use of internal input buffer space.

Dynamic buffer management in data-driven intelligent network

The efficient storage of transformation information in a switch is provided. A respective port of the switch can include a memory device capable of storing transformation information. During operation, the switch can apply a selection mechanism to the transformation information learned at the switch for identifying a target port. The switch can then store the information in the memory device of the target port. Upon receiving a packet, the ingress port can apply the selection mechanism to the header information of the packet for determining a location of a first piece of transformation information associated with the packet. The ingress port can obtain the first piece of transformation information by looking up the header information in the location and storing it in a local memory device. The ingress port can then transform the packet based on the first piece of transformation information for determining an egress port for the packet.

Distributed storage of packet transformation information in forwarding hardware

A switch equipped with a reduction engine capable of being dynamically allocated in a network is provided. During operation, the reduction engine can be dynamically armed based on a multicast frame. As a result, the network can facilitate an efficient and scalable environment for high performance computing.

System and method for dynamic allocation of reduction engines

Methods and systems are provided for performing lossy dropping and ECN marking in a flow-based network. The system can maintain state information of individual packet flows, which can be set up or released dynamically based on injected data. Each flow can be provided with a flow-specific input queue upon arriving at a switch. Packets of a respective flow are acknowledged after reaching the egress point of the network, and the acknowledgement packets are sent back to the ingress point of the flow along the same data path. As a result, each switch can obtain state information of each flow and perform per-flow packet dropping and ECN marking.

Method and system for facilitating lossy dropping and ECN marking

Data-driven intelligent networking systems and methods are provided. The system can accommodate dynamic traffic while applying injection limits to different traffic classes at an ingress edge port. The system can maintain state information of individual packet flows, which can be set up or released dynamically based on injected data. Each flow can be provided with a flow-specific input queue upon arriving at a switch. Packets of a respective flow can be acknowledged after reaching the egress point of the network, and the acknowledgement packets can be sent back to the ingress point of the flow along the same data path. Furthermore, an edge switch can dynamically allocate the ingress port bandwidth among the traffic classes that are active at a given moment.

System and method for facilitating data-driven intelligent network with ingress port injection limits

A switch equipped with a self-managing reduction engine is provided. During operation, the reduction engine can use a timeout mechanism to manage itself in different latency-induced or error scenarios. As a result, the network can facilitate an efficient and scalable environment for high performance computing.

System and method for facilitating self-managing reduction engines

Data-driven intelligent networking systems and methods are provided. The system can accommodate dynamic traffic with fast, effective endpoint congestion detection and control. The system can maintain state information of individual packet flows, which can be set up or released dynamically based on injected data. Each flow can be provided with a flow-specific input queue upon arriving at a switch. Packets of a respective flow can be acknowledged after reaching the egress point of the network, and the acknowledgement packets can be sent back to the ingress point of the flow along the same data path. As a result, each switch can obtain state information of each flow and perform flow control on a per-flow basis.

System and method for facilitating data-driven intelligent network with endpoint congestion detection and control

Data-driven intelligent networking systems and methods are provided. The system can accommodate dynamic traffic with fast, effective per-flow credit-based flow control. The system can maintain state information of individual packet flows, which can be set up or released dynamically based on injected data. Each flow can be provided with a flow-specific input queue upon arriving at a switch. Packets of a respective flow can be acknowledged after reaching the egress point of the network, and the acknowledgement packets can be sent back to the ingress point of the flow along the same data path. As a result, each switch can obtain state information of each flow and perform flow control on a per-flow basis.

System and method for facilitating data-driven intelligent network with per-flow credit-based flow control

Data-driven intelligent networking systems and methods are provided. The system can accommodate dynamic traffic with fast, effective congestion control. The system can maintain state information of individual packet flows, which can be set up or released dynamically based on injected data. Each flow can be provided with a flow-specific input queue upon arriving at a switch. Packets of a respective flow can be acknowledged after reaching the egress point of the network, and the acknowledgement packets can be sent back to the ingress point of the flow along the same data path. As a result, each switch can obtain state information of each flow and perform flow control on a per-flow basis.

System and method for facilitating data-driven intelligent network

Data-driven intelligent networking systems and methods are provided. The system can accommodate dynamic traffic with fast, effective flow control of individual applications and traffic flows in conjunction with an end host. The system can maintain state information of individual packet flows, which can be set up or released dynamically based on injected data. Each flow can be provided with a flow-specific input queue upon arriving at a switch. Packets of a respective flow can be acknowledged after reaching the egress point of the network, and the acknowledgement packets can be sent back to the ingress point of the flow along the same data path. As a result, an ingress edge switch can perform fine grain flow control of individual sources of the flows residing on an end host.

System and method for facilitating data-driven intelligent network with flow control of individual applications and traffic flows

Systems and methods are provided for 'on the fly' routing of data transmissions in the presence of errors. Switches can establish flow channels corresponding to flows in the network. In response to encountering a critical error on a network link along a transmission path, a switch can generate an error acknowledgement. The switch can transmit the error acknowledgements to ingress ports upstream from the network link via the plurality of flow channels. By transmitting the error acknowledgement, it indicates that the network link where the critical error was encountered is a failed link to ingress ports upstream from the failed link. Subsequently, each ingress port upstream from the failed link can dynamically update the path of the plurality of flows that are upstream from the failed link such that the plurality of flows that are upstream from the failed link are routed in a manner that avoids the failed link.

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Bristol, United Kingdom

Jonathan P Beecroft