IP Library › Granted Patent US 12,445,380
Granted Patent B2
US 12,445,380 · App. 18/604,978 · Granted Oct 14, 2025

Hardware acceleration techniques using flow selection

Inventors: Aditi Ghag (Palo Alto, CA); Srividya Murali (Palo Alto, CA)
Assignee: VMware LLC
H04L47/125H04L49/90H04L69/12H04L69/161H04L69/22H04L69/32
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Quick Facts
Patent No.
US 12,445,380
App. No.
18/604,978
Filed
Mar 14, 2024
Granted
Oct 14, 2025
Kind
B2
Art Unit
2412
USPC
370/392
Abstract

In some embodiments, a method receives a packet for a flow associated with a workload. Based on an indicator for the flow, the method determines whether the flow corresponds to one of an elephant flow or a mice flow. Only when the flow is determined to correspond to an elephant flow, the method enables a hardware acceleration operation on the packet. The hardware acceleration operation may include hardware operation offload, receive side scaling, and workload migration.

Claims (63)

1. A method comprising:

receiving a packet for a flow;

based on an indicator for the flow, determining whether the flow corresponds to one of first classification or a second classification, the first classification being associated with a first duration of less than a first threshold, the second classification being associated with a second duration of greater than a second threshold; and

based on a determination that the flow corresponds to an elephant flow, enabling a hardware acceleration operation on the packet.

2. The method of claim 1 , wherein enabling the hardware acceleration operation comprises:

offloading an operation on the packet from a network stack to a physical network interface card when the flow is associated with a second classification; and

performing the hardware acceleration operation using the physical network interface card.

3. The method of claim 1 , wherein enabling the hardware acceleration operation comprises:

receiving the packet at a physical network interface card; and

performing the hardware acceleration operation in the physical network interface card.

4. The method of claim 1 , wherein enabling the hardware acceleration operation comprises:

storing identification information for a set of flows associated with a set of workloads in a table based on network traffic associated with respective flows or workloads; and

determining that identification information for the flow is found in the table, wherein the flow table identifies the flow as being associated with the second classification.

5. The method of claim 1 , wherein enabling the hardware acceleration operation comprises:

storing the packet in a queue associated with a physical network interface card, wherein the queue is associated with packets from one or more flows corresponding to second classifications.

6. The method of claim 5 , wherein:

a first queue stores packets for one or more flows corresponding to second classifications; and

a second queue stores packets for one or more flows corresponding to first classifications.

7. The method of claim 1 , wherein enabling the hardware acceleration operation comprises:

tagging a workload to indicate that the flow is associated with second classifications; and

migrating the workload to a device, wherein information indicating the workload is associated with second classifications is sent to the device to allow the device to identify a flow associated with the workload as corresponding to the second classification.

8. A non-transitory computer-readable storage medium storing a first program for executing by a processing unit of a computer, the program comprising sets of instructions for:

receiving a packet for a flow associated with a workload;

based on an indicator for the flow, determining whether the flow corresponds to one of a second classification or a first classification, the first classification being associated with a first data size of less than a first threshold, the second classification being associated with a second data size of greater than a second threshold;

when the flow is determined to correspond to a second classification, directing the packet to a physical network interface card (PNIC) to perform an operation; and

when the flow is determined to correspond to a first classification, directing the packet to a second program executing on the computer to perform the operation on the packet.

9. The non-transitory computer-readable storage medium of claim 8 , wherein the second program is a network stack of the computer, wherein directing the packet to the PNIC comprises:

offloading the operation on the packet from the network stack to the PNIC; and

performing the operation using the PNIC.

10. The non-transitory computer-readable storage medium of claim 8 , the program further comprising sets of instructions for:

storing identification information for a set of flows associated with a set of workloads in a table based on network traffic associated with respective flows or workloads; and

determining that identification information for the flow is found in the table, wherein the flow table identifies the flow as being associated with the second classification.

11. The non-transitory computer-readable storage medium of claim 8 , wherein directing the packet to the PNIC comprises:

storing the packet in a queue associated with the PNIC, wherein the queue is associated with packets from one or more flows corresponding to second classifications.

12. The non-transitory computer-readable storage medium of claim 11 , wherein:

a first queue stores packets for one or more flows corresponding to second classifications; and

a second queue stores packets for one or more flows corresponding to first classifications.

13. The non-transitory computer-readable storage medium of claim 8 , the program further comprising sets of instructions for:

tagging a workload to indicate that the workload is associated with second classifications; and

migrating the workload to a device, wherein information indicating the workload is associated with second classifications is sent to the device to allow the device to identify a flow associated with the workload as corresponding to the second classification.

14. An apparatus comprising:

one or more computer processors; and

a non-transitory computer-readable storage medium comprising instructions, that when executed, control the one or more computer processors to be operable for:

receiving a packet for a flow;

based on an indicator for the flow, determining whether the flow corresponds to one of a second classification or a first classification, the first classification being associated with a first duration of less than a first threshold, the second classification being associated with a second duration of greater than a second threshold; and

only when the flow is determined to correspond to a second classification, enabling a hardware acceleration operation.

15. The apparatus of claim 14 , wherein enabling the hardware acceleration operation comprises:

offloading an operation on the packet from a network stack to a physical network interface card when the flow is associated with the second classification; and

performing the hardware acceleration operation using the physical network interface card.

16. The apparatus of claim 14 , wherein enabling the hardware acceleration operation comprises:

receiving the packet at a physical network interface card; and

performing the hardware acceleration operation in the physical network interface card.

17. The apparatus of claim 14 , wherein enabling the hardware acceleration operation comprises:

storing identification information for a set of flows associated with a set of workloads in a table based on network traffic associated with respective flows or workloads; and

determining that identification information for the flow is found in the table, wherein the flow table identifies the flow as being associated with the second classification.

18. The apparatus of claim 15 , wherein enabling the hardware acceleration technique operation comprises:

storing the packet in a queue associated with a physical network interface card, wherein the queue is associated with packets from one or more flows corresponding to second classifications.

19. The apparatus of claim 14 , wherein:

a first queue stores packets for one or more flows corresponding to second classifications; and

a second queue stores packets for one or more flows corresponding to first classifications.

20. The apparatus of claim 14 , wherein enabling the hardware acceleration operation comprises:

tagging a workload to indicate that the flow is associated with the second classification; and

migrating the workload to a device, wherein information indicating the workload is associated with second classification is sent to the device to allow the device to identify a flow associated with the workload as corresponding to an elephant flow.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 14, 2024
From: GHAG, ADITI; MURALI, SRIVIDYA
To: VMWARE, INC.
Reel/Frame 066774/0958 →
CHANGE OF NAME Recorded Mar 14, 2024
From: VMWARE, INC.
To: VMWARE LLC
Reel/Frame 066797/0687 →
Continuity (2)
Continuation 16890890 · Jun 2, 2020
Related Publication 20240223516A1 · Jul 4, 2024
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