Intelligent fabric

• US 6,744,729 B2
• Filed: 08/17/2001
• Issued: 06/01/2004
• Est. Priority Date: 08/17/2001
• Status: Expired due to Fees

• Current Assignee: XSLENT, LLC
• Original Assignee: Interactive Sapience Corporation, Inc.
• Inventors: Tinsley, David, Patton, Frederick Joseph II
• Primary Examiner(s): Patel, Ajit
• Application Number:
  US09/932,346
• Publication Number:
  US 20030043815A1
• Time in Patent Office: 1,019 Days
• Field of Search: 370/254, 370/252, 370/389, 370/396, 370/351-356, 370/395.2, 370/395.21, 370/395.42, 370/395.43, 370/395.1, 370/395.64, 370/400, 370/401, 370/410, 370/229, 370/230, 370/235, 709/221, 709/220, 709/105
• US Class Current: 370/229
• CPC Class Codes: G06F 9/451 Execution arrangements for user interfaces
• CPC Class Codes: G11B 2220/2562 DVDs [digital versatile discs]; Digital video discs; MMCDs; HDCDs
• CPC Class Codes: G11B 27/034 on discs G11B27/036, G11B27/038 take precedence
• CPC Class Codes: G11B 27/105 of operating discs

Abstract

An intelligent switch for routing data through a network fabric in accordance with a requested quality of service (QoS), comprising: a processor; a network interface coupled to the processor and the network fabric; and means for predicting load and redistributing traffic to deliver the data at the requested QoS.

Claims

1. An intelligent switch for routing data through a network fabric in accordance with a requested quality of service (QoS), comprising:

a processor;

a network interface coupled to the processor and the network fabric;

means for predicting load and redistributing traffic to deliver the data at the requested QoS; and

wherein the network fabric comprises one or more POPs and a gateway hub,

wherein each POP send its current load status and QOS configuration to the gateway hub where predictive analysis is performed to handle load balancing of data streams to deliver consistent QoS for the entire network on the fly.

2. The intelligent switch of claim 1, wherein predictive analysis is used to configure the fabric to deliver QoS.

4. The intelligent switch of claim 1, wherein the network fabric streams MPEG (Moving Picture Experts Group) elementary streams (ES), including Binary Format for Scenes (BIFS) data and Delivery Multimedia Integration Framework (DMIF) data.

5. The intelligent switch of claim 4, wherein the BiFS data contains the DMIF data to determine the configuration of content.

6. The intelligent switch of claim 4, wherein DMIF and BiFS information determine the capabilities of a device accessing a channel.

7. The intelligent switch of claim 4, wherein the data content defines the configuration of the network once its BiFS Layer is parsed and checked against the available DMIF Configuration and network status.

8. The intelligent switch of claim 1, wherein the predicting means parses one or more ODs and one or more BiFSs to regulate elements being passed to the multiplexer.

9. The intelligent switch of claim 4, wherein a BiFS comprises interaction rules.

10. The intelligent switch of claim 1, wherein one or more rules are used to query a field in a database and wherein a field can contain scripts that execute one or more If/Then statements.

11. The intelligent switch of claim 1, wherein one or more rules customize a particular object in a given scene.

12. The intelligent switch of claim 1, wherein the network fabric includes an Asynchronous Transfer Mode (ATM) and a telephone network.

13. The intelligent switch of claim 1, wherein the data is media content.

14. The intelligent switch of claim 1, wherein the data represents a graphical user interface (GUI).

15. The intelligent switch of claim 1, wherein the GUI is generated by a remote server and broadcasted to one or more devices over the fabric.

3. An intelligent switch for routing data through a network fabric in accordance with a requested quality of service (QoS), comprising:

a processor;

a network interface coupled to the processor and the network fabric; and

means for predicting load and redistributing traffic to deliver the data at the requested QoS wherein the predicting means periodically takes snapshots of traffic and processor usage and correlates the traffic and usage data with previously archived data for usage patterns that are used to predict the configuration of the network to provide optimum QoS.

16. A system, comprising:

a network fabric;

an intelligent switch for routing data through a network fabric in accordance with a requested quality of service (QoS), comprising;

a processor;

a network interface coupled to the processor and the network fabric; and

means for predicting load and redistributing traffic to deliver the data at the requested QoS;

one or more clients coupled to the intelligent switch, wherein the network fabric comprises one or more POPs and gateway hub, wherein each POP send its current load status and QOS configuration to the gateway hub where predictive analysis is performed to handle load balancing of data streams to deliver consistent QoS for the entire network on the fly.

17. The system of claim 16, wherein predictive analysis is used to configure the fabric to deliver QoS.

18. The system of claim 16, wherein DMIF and BiFS information determine the capabilities of a device accessing a channel.

19. The system of claim 16, wherein the device receives data representative of media content or a graphical user interface (GUI) generated by a remote server and broadcasted to one or more devices over the fabric.