SYSTEM, STREAMING MEDIA OPTIMIZER AND METHODS FOR USE THEREWITH

• US 20140181266A1
• Filed: 10/29/2013
• Published: 06/26/2014
• Est. Priority Date: 09/29/2011
• Status: Abandoned Application

• Current Assignee: NetScout Systems Texas, LLC (NetScout Systems Incorporated)
• Original Assignee: Avvasi Inc (NetScout Systems Incorporated)
• Inventors: Joch, Anthony Peter, Archer, Michael, Gallant, Michael
• Application Number:
  US14/066,306
• Publication Number:
  US 20140181266A1
• Time in Patent Office: Days
• US Class Current: 709/219
• CPC Class Codes: H04L 47/125 by balancing the load, e.g. traffic engineering
• CPC Class Codes: H04L 47/20 Traffic policing
• CPC Class Codes: H04L 65/612 for unicast
• CPC Class Codes: H04L 65/765 intermediate
• CPC Class Codes: H04L 65/80 Responding to QoS
• CPC Class Codes: H04L 69/14 Multichannel or multilink protocols

Abstract

A streaming media optimizer includes a session quality analyzer that receives media session data and network data corresponding to a plurality of media sessions and that generates a plurality of session quality parameters corresponding to the plurality of media sessions in response thereto. A policy system generates session policy data that includes a plurality of quality targets corresponding to the plurality of media sessions. A controller generates control data, based on the session quality data and the session quality parameters, to allocate network resources to control the streaming media in the plurality of media sessions.

Claims

1. A streaming media optimizer for use in a system that analyzes streaming media communicated via a network in a plurality of media sessions between a media source and a corresponding plurality of client devices, the streaming media optimizer comprising:

a session quality analyzer that receives media session data and network data corresponding to the plurality of media sessions and that generates session quality data that includes a plurality of session quality parameters corresponding to the plurality of media sessions in response thereto;

a policy system that generates session policy data that includes a plurality of quality targets corresponding to the plurality of media sessions; and

a controller, coupled to the policy system and the session quality analyzer, that generates control data, based on the session quality data and the session policy data to allocate network resources to control the streaming media in the plurality of media sessions.

2. The streaming media optimizer of claim 1 wherein the media session data indicates a number of concurrent media sessions corresponding to the plurality of media sessions and wherein the policy system generates the session policy data based on the number of concurrent media sessions.

3. The streaming media optimizer of claim 2 wherein the plurality of media sessions are characterized by at least two differing content complexities and wherein the policy system generates the session policy data to set each of the plurality of quality targets to a common quality target.

4. The streaming media optimizer of claim 3 wherein the policy system generates the session policy data to set each of the plurality of quality targets to a new quality target that is reduced from the common quality target based when the number of concurrent media sessions increases.

5. The streaming media optimizer of claim 1 further comprising a transcoder session controller that generates the control data to control the transcoding of the streaming media in the plurality of media sessions to reduce a quality of experience for each of the plurality of media sessions equally when the network data indicates a reduction in network performance.

6. The streaming media optimizer of claim 1 wherein the media session data indicates a particular subscriber tier of a plurality of subscriber tiers corresponding to each of the plurality of media sessions and wherein the policy system generates the plurality of quality targets based on the subscriber tier corresponding to each of the plurality of media sessions.

7. The streaming media optimizer of claim 6 wherein the policy system generates the session policy data based on the number of concurrent media sessions to set the plurality of quality targets to a common quality target for each of the plurality of media sessions having the subscriber tier.

8. The streaming media optimizer of claim 1 wherein the media session data indicates a media source of a plurality of media sources corresponding to each of the plurality of media sessions and wherein the policy system generates the plurality of quality targets based on the particular media source corresponding to each of the plurality of media sessions.

9. The streaming media optimizer of claim 1 wherein the media session data indicates a particular content type of a plurality of content types corresponding to each of the plurality of media sessions and wherein the policy system generates the plurality of quality targets based on the particular content type corresponding to each of the plurality of media sessions.

10. The streaming media optimizer of claim 1 wherein the network data includes frame data addressed to a particular one of the plurality of client devices and acknowledgement data indicating that frame data is successfully received by the particular one of the plurality of client devices.

11. The streaming media optimizer of claim 1 wherein the network data includes a current network bit rate and a predicted network bit rate and wherein the session quality data indicates at least one of:

a current quality of experience for each of the plurality of media sessions;

a current bit rate for each of the plurality of media sessions;

predicted future quality of experience for each of the plurality of media sessions; and

a predicted future bit rate for each of the plurality of media sessions.

12. The streaming media optimizer of claim 1 wherein the session policy data indicates, for each for the plurality of media sessions, one of:

a target minimum quality of experience, a target maximum quality of experience, a target minimum bit rate, a target maximum bit rate, a minimum resolution, a maximum resolution, a minimum frame rate; and

a maximum frame rate.

13. The streaming media optimizer of claim 1 wherein the plurality of media sessions correspond to multiple different instances of content that are delivered from a plurality of media servers.

14. A method for use in a system that analyzes streaming media communicated via a network in a plurality of media sessions between a media source and a corresponding plurality of client devices, the method comprising:

receiving media session data and network data corresponding to the plurality of media sessions and generating session quality data that includes a plurality of session quality parameters corresponding to the plurality of media sessions in response thereto;

generating session policy data that includes a plurality of quality targets corresponding to the plurality of media sessions; and

generating transcoder control data, based on the session quality data and the session policy data to control transcoding of the streaming media in the plurality of media sessions.

15. The method of claim 14 wherein the media session data indicates a number of concurrent media sessions corresponding to the plurality of media sessions and wherein the session policy data is generated based on the number of concurrent media sessions.

16. The method of claim 14 wherein the plurality of media sessions are characterized by at least two differing content complexities and wherein the session policy data is generated to set each of the plurality of quality targets to a common quality target.

17. The method of claim 14 wherein the transcoder control data is generated to control the transcoding of the streaming media in the plurality of media sessions to reduce a quality of experience for each of the plurality of media sessions equally when the network data indicates a reduction in network performance.

18. The method of claim 14 wherein the media session data indicates a particular subscriber tier of a plurality of subscriber tiers corresponding to each of the plurality of media sessions and wherein the plurality of quality targets are generated based on the subscriber tier corresponding to each of the plurality of media sessions.

19. A system for controlling streaming media communicated via a network in a plurality of media sessions between a media server and a corresponding plurality of client devices, the system comprising:

a session quality analyzer that receives media session data and network data corresponding to the plurality of media sessions and that generates a plurality of session quality parameters corresponding to the plurality of media sessions in response thereto;

a policy system that generates session policy data that includes that includes a plurality of quality of experience targets corresponding to the plurality of media sessions; and

a transcoder session controller, coupled to the policy system and the session quality analyzer, that generates transcoder control data, based on the session quality data and the session quality parameters; and

a transcoder for transcoding, coupled to the transcoder session controller, that controls transcoding of the streaming media in the plurality of media sessions based on the transcoder control data.

20. The system of claim 19 further comprising:

a shaping policing module, coupled to the policy system and further coupled in a network path between the media source and the plurality of client devices, that implements at least one of;

shaping tools and policing tools, to adjust a transmission rate of at least one of the media sessions based on a target rate indicated by the session policy data.