METHOD FOR STREAMLINING DYNAMIC BANDWIDTH ALLOCATION IN SERVICE CONTROL APPLIANCES BASED ON HEURISTIC TECHNIQUES

• US 20130159494A1
• Filed: 12/15/2011
• Published: 06/20/2013
• Est. Priority Date: 12/15/2011
• Status: Abandoned Application

• Current Assignee: Cisco Technology, Inc. (Cisco Systems, Inc.)
• Original Assignee: Cisco Technology, Inc. (Cisco Systems, Inc.)
• Inventors: DANDA, SATYANARAYANA, NARAYANAN, PADMANABHAN, KUNDU, NITISH
• Application Number:
  US13/326,398
• Publication Number:
  US 20130159494A1
• Time in Patent Office: Days
• US Class Current: 709/224
• CPC Class Codes: H04L 41/0896 Bandwidth or capacity management, i.e. automatically increasing or decreasing capacities flow or congestion control using dynamic resource allocation, e.g. in-call renegotiation, H04L47/76
• CPC Class Codes: H04L 41/147 for predicting network behaviour
• CPC Class Codes: H04L 41/5067 Customer-centric QoS measurements

Abstract

Systems and methods for a predictive bandwidth control module comprising means for maintaining a database of currently active subscribers by receiving the subscriber'"'"'s authentication events and identifying one or more classes of subscribers based upon the authentication information they provide. The current behavior of the subscribers is recorded based on the applications they launch. The current behavior of the subscribers is correlated with a history database having snapshots of subscriber level requirements for the next few seconds, wherein the correlation provides correlated snapshots values based on the history of subscriber behavior over time. The correlated snapshot values are fed to an existing bandwidth controller that operates at various levels to allocate or de-allocate bandwidth to a corresponding class of subscribers based on a predicted future behavior of the subscribers.

Claims

1. A system for predictive bandwidth control module comprising:

a service control engine having means for maintaining a database of currently active subscribers by receiving subscriber'"'"'s authentication events and identifying one or more classes of subscribers based upon authentication information provided by the subscribers,

means for recording current behavior of the subscribers based on applications they launch,

means for correlating the current behavior of the subscribers with a history database having snapshots of subscriber level requirements for a next t seconds,

wherein the correlation provides correlated snapshots values based on a history of subscriber behavior over time, and

wherein the correlated snapshot values are fed to an existing bandwidth controller that operates at various levels to allocate or de-allocate bandwidth to a corresponding class of subscribers based on a predicted behavior of the subscribers for the next t seconds.

2. The system of claim 1, further comprising means for providing a parallel thread that periodically calculates a global bandwidth controller requirement for snapshots of the next t, t+10, t+20, and t+N seconds.

3. The system of claim 1, further comprising means for updating the history database when the snapshots of subscriber level requirements do not correlate with actual subscriber behavior.

4. The system of claim 2, further comprising means for providing a sanity check thread that compares the global bandwidth controller requirement for snapshots with current actual usage of available bandwidth.

5. The system of claim 1, further comprising means for providing a faster committed information rate for a class of subscribers known as Gold subscribers.

6. The system of claim 1, further comprising means for dynamically selecting a committed information rate for a class of subscribers known as Silver and Bronze subscribers, wherein Silver subscribers are given priority over Bronze subscribers.

7. A method of providing a predictive bandwidth control module comprising:

maintaining a database of currently active subscribers by receiving subscriber'"'"'s authentication events and identifying one or more classes of subscribers based upon authentication information provided by the subscribers,

recording in a database current behavior of the subscribers based on applications they launch,

correlating the current behavior of the subscribers with a history database having snapshots of subscriber level requirements for a next t seconds, wherein the correlation provides correlated snapshots values based on a history of subscriber behavior over time, and wherein the correlated snapshot values are fed to an existing bandwidth controller that operates at various levels to allocate or de-allocate bandwidth to a corresponding class of subscribers based on a predicted behavior of the subscribers for the next t seconds.

8. The method of claim 7, further comprising providing a parallel thread that periodically calculates a global bandwidth controller requirement for snapshots of the next t, t+10, t+20, and t+N seconds.

9. The method of claim 7, further comprising updating the history database when the snapshots of subscriber level requirements do not correlate with actual subscriber behavior.

10. The method of claim 9, further comprising providing a sanity check thread that compares a global bandwidth controller requirement for snapshots with current actual usage of available bandwidth.

11. The method of claim 7, further comprising providing a faster committed information rate for a class of subscribers known as Gold subscribers.

12. The method of claim 7, further comprising dynamically selecting a committed information rate for a class of subscribers known as Silver and Bronze subscribers, wherein Silver subscribers are given priority over Bronze subscribers.

13. A predictive bandwidth control module comprising:

a service control application executable on a service control engine having code for maintaining a database of currently active subscribers by receiving subscriber'"'"'s authentication events and identifying one or more classes of subscribers based upon authentication information provided by the subscribers,

a database for recording current behavior of the subscribers based on the applications they launch, and

a correlation engine correlating the current behavior of the subscribers with a history database having snapshots of subscriber level requirements for a next t seconds, wherein the correlation provides correlated snapshots values based on a history of subscriber behavior over time, and wherein the correlated snapshot values are fed to an existing bandwidth controller that operates at various levels to allocate or de-allocate bandwidth to a corresponding class of subscribers based on a predicted behavior of the subscribers for the next t seconds.

14. The predictive bandwidth control module of claim 13, further comprising a parallel thread that periodically calculates a global bandwidth controller requirement for snapshots of the next t, t+10, t+20, and t+N seconds.

15. The predictive bandwidth control module of claim 13, further providing periodic updates to the history database when the snapshots of subscriber level requirements do not correlate with actual subscriber behavior.

16. The predictive bandwidth control module of claim 15, further providing a sanity check thread that compares a global bandwidth controller requirement for snapshots with current actual usage of available bandwidth.

17. The predictive bandwidth control module of claim 13, further providing a faster committed information rate for a class of subscribers known as Gold subscribers.

18. The predictive bandwidth control module of claim 13, including dynamically selecting a committed information rate for a class of subscribers known as Silver and Bronze subscribers, wherein Silver subscribers are given priority over Bronze subscribers.

19. The predictive bandwidth control module of claim 13, wherein the predictive control module is stored and executes on a service control engine appliance.

20. The predictive bandwidth control module of claim 13, wherein the predictive control module executes within a virtual service control engine appliance.