Low Latency DOCSIS Experience Via Multiple Queues

1 . One or more non-transitory computer-readable storage mediums storing one or more sequences of instructions for providing configurable levels of latency for data flows, which when executed, cause:

identifying an application type for a data flow, wherein the application type is one of a plurality of types that include a first type and a second type,

wherein said first type is associated with a first set of applications that retransmit missing data packets not received by the intended recipient, and

wherein said second type is associated with a second set of applications that do not retransmit missing data packets not received by the intended recipient; and

enqueueing data packets of said data flow onto a particular queue of two or more queues based on said identified application type, wherein each of said two or more queues store data packets of a different application type to be sent across the communication channel.

2 . The one or more non-transitory computer-readable storage mediums of claim 1 , wherein said first type is associated with queue-building applications, wherein said second type is associated with non-queue-building applications, and wherein execution of the one or more sequences of instructions further causes:

preferentially transmitting data flows associated with non-queue-building applications over the communication channel so that data flows associated with non-queue-building applications possess a smaller magnitude of latency than data flows associated with the queue-building applications.

3 . The one or more non-transitory computer-readable storage mediums of claim 1 , wherein data flows assigned the same Data Over Cable Service Interface Specification (DOCSIS) priority experience different levels of latency based upon which one of the two or more queues their data packets are enqueued.

4 . The one or more non-transitory computer-readable storage mediums of claim 1 , wherein said identifying is performed, at least in part, using one or more supervised learning techniques performed upon one or more other data flows other than said data flow.

5 . The one or more non-transitory computer-readable storage mediums of claim 1 , wherein said identifying is performed, at least in part, using one or more known behavior patterns for data flows of one or more application types.

6 . The one or more non-transitory computer-readable storage mediums of claim 1 , wherein said identifying is performed, at least in part, using one or more of a configuration, an external classification or marking system, or machine learning.

7 . The one or more non-transitory computer-readable storage mediums of claim 1 , wherein said identifying is performed without inspecting or relying upon any priority assigned using or identified by the Data Over Cable Service Interface Specification (DOCSIS) protocol.

8 . The one or more non-transitory computer-readable storage mediums of claim 1 , wherein data packets of said data flow are enqueued onto the particular queue at a cable modem and sent over the communication channel to a Cable Modem Termination System (CMTS).

9 . The one or more non-transitory computer-readable storage mediums of claim 1 , wherein data packets of said data flow are enqueued onto the particular queue at a Cable Modem Termination System (CMTS) and sent over the communication channel to a Cable Modem.

10 . The one or more non-transitory computer-readable storage mediums of claim 1 , wherein (a) identifying the application type for the data flow and (b) enqueueing the data packets of said data flow onto the particular queue are both performed without consideration of any personal information about a user associated with said data flow.

11 . The one or more non-transitory computer-readable storage mediums of claim 1 , wherein said first set of applications include applications that use one or more of User Datagram Protocol (UDP), Transmission Control Protocol (TCP), and Quick UDP Internet Connection (QUIC) protocol.

12 . The one or more non-transitory computer-readable storage mediums of claim 1 , wherein said second set of applications include one or more of: multiplayer online games and IP-based communication applications.

13 . The one or more non-transitory computer-readable storage mediums of claim 1 , wherein said data flow corresponds to a download performed over the Internet, and wherein the data flow is identified as being the first type, and wherein the data flow experiences a greater magnitude of latency than data flows identified as being the second type.

14 . The one or more non-transitory computer-readable storage mediums of claim 1 , wherein said data flow conforms to Data Over Cable Service Interface Specification (DOCSIS) protocol version 2.0 or any subsequent version thereof.

15 . The one or more non-transitory computer-readable storage mediums of claim 1 , wherein said two or more queues each store data packets exchanged with a single Cable Modem (CM).

16 . The one or more non-transitory computer-readable storage mediums of claim 1 , wherein said two or more queues each store data packets exchanged with two or more Cable Modems (CMs).

17 . An apparatus for providing configurable levels of latency for data flows, comprising:

one or more processors; and

one or more non-transitory computer-readable storage mediums storing one or more sequences of instructions, which when executed, cause:

identifying an application type for a data flow, wherein the application type is one of a plurality of types that include a first type and a second type,

wherein said first type is associated with a first set of applications that retransmit missing data packets not received by the intended recipient, and

wherein said second type is associated with a second set of applications that do not retransmit missing data packets not received by the intended recipient; and

enqueueing data packets of said data flow onto a particular queue of two or more queues based on said identified application type, wherein each of said two or more queues store data packets of a different application type to be sent across the communication channel.

18 . The apparatus of claim 17 , wherein data flows assigned the same Data Over Cable Service Interface Specification (DOCSIS) priority experience different levels of latency based upon which one of the two or more queues their data packets are enqueued.

19 . A method for providing configurable levels of latency for data flows, comprising:

identifying an application type for a data flow, wherein the application type is one of a plurality of types that include a first type and a second type,

wherein said first type is associated with a first set of applications that retransmit missing data packets not received by the intended recipient, and

wherein said second type is associated with a second set of applications that do not retransmit missing data packets not received by the intended recipient; and

enqueueing data packets of said data flow onto a particular queue of two or more queues based on said identified application type, wherein each of said two or more queues store data packets of a different application type to be sent across the communication channel.

20 . The method of claim 19 , wherein data flows assigned the same Data Over Cable Service Interface Specification (DOCSIS) priority experience different levels of latency based upon which one of the two or more queues their data packets are enqueued.