SYSTEM AND METHOD FOR ADAPTIVE OPTIMIZATION OF RESOURCE UTILIZATION FOR REDUNDANCY ELIMINATION

• US 20130033994A1
• Filed: 08/01/2011
• Published: 02/07/2013
• Est. Priority Date: 08/01/2011
• Status: Active Grant

• Current Assignee: Cisco Technology, Inc. (Cisco Systems, Inc.)
• Original Assignee: Cisco Technology, Inc. (Cisco Systems, Inc.)
• Inventors: Parekh, Bharat Z., Jiang, Lianjun
• Granted Patent: US 8,681,649 B2
• Time in Patent Office: Days
• US Class Current: 370/252
• CPC Class Codes: H04L 43/026 using flow identification
• CPC Class Codes: H04L 43/028 by filtering
• CPC Class Codes: H04L 43/04 Processing captured monitoring data, e.g. for logfile generation

Abstract

An example method may include calculating a parameter for traffic propagating in a network between a sender and a receiver, where the traffic comprises encoding information and decoding information; determining whether the parameter meets a predetermined value; classifying the traffic as uni-directional if the parameter meets the predetermined value; and classifying the traffic as bi-directional if the parameter does not meet the predetermined value.

Claims

1. A method, comprising:

calculating a parameter for traffic propagating in a network between a sender and a receiver, wherein the traffic comprises encoding information and decoding information;

determining whether the parameter meets a predetermined value;

classifying the traffic as uni-directional if the parameter meets the predetermined value; and

classifying the traffic as bi-directional if the parameter does not meet the predetermined value.

2. The method of claim 1, wherein the parameter is entropy.

3. The method of claim 2, wherein the predetermined value is a floor, above which the traffic is classified as uni-directional.

4. The method of claim 1, wherein the parameter is compressibility.

5. The method of claim 4, wherein the predetermined value is a ceiling, below which the traffic is classified as uni-directional.

6. The method of claim 1, wherein if the traffic is classified as uni-directional, the method further comprises:

writing the encoding information into a first data redundancy elimination (DRE) cache at the sender; and

writing the decoding information into a second DRE cache at the receiver.

7. The method of claim 1, further comprising:

evaluating the traffic;

identifying a pattern that is based, at least, on classifying content within the traffic; and

classifying the traffic as uni-directional or bi-directional based on the pattern.

8. The method of claim 1, wherein the sender is a data center, the receiver is a branch office, and the network is a wide area network (WAN).

9. Logic encoded in non-transitory media that includes code for execution and when executed by a processor operable to perform operations comprising:

calculating a parameter for traffic propagating in a network between a sender and a receiver, wherein the traffic comprises encoding information and decoding information;

determining whether the parameter meets a predetermined value;

classifying the traffic as uni-directional if the parameter meets the predetermined value; and

classifying the traffic as bi-directional if the parameter does not meet the predetermined value.

10. The logic of claim 9, wherein the parameter is entropy.

11. The logic of claim 10, wherein the predetermined value is a floor, above which the traffic is classified as uni-directional.

12. The logic of claim 9, wherein the parameter is compressibility.

13. The logic of claim 12, wherein the predetermined value is a ceiling, below which the traffic is classified as uni-directional.

14. The logic of claim 9, wherein if the traffic is classified as uni-directional, the operations further comprising:

writing the encoding information into a first data redundancy elimination (DRE) cache at the sender; and

writing the decoding information into a second DRE cache at the receiver.

15. The logic of claim 9, the operations further comprising:

evaluating the traffic;

identifying a pattern that is based, at least, on classifying content within the traffic; and

classifying the traffic as uni-directional or bi-directional based on the pattern.

16. An apparatus, comprising:

a memory element;

a processor operable to execute instructions associated with electronic code; and

a wide area application services (WAAS) module configured to interface with the processor such that the apparatus is configured for;

calculating a parameter for traffic propagating in a network, wherein the traffic comprises encoding information and decoding information;

determining whether the parameter meets a predetermined value;

classifying the traffic as uni-directional if the parameter meets the predetermined value; and

classifying the traffic as bi-directional if the parameter does not meet the predetermined value.

17. The apparatus of claim 16, wherein the parameter is entropy, and wherein the predetermined value is a floor, above which the traffic is classified as uni-directional.

18. The apparatus of claim 16, wherein the parameter is compressibility, and wherein the predetermined value is a ceiling, below which the traffic is classified as uni-directional.

19. The apparatus of claim 16, wherein apparatus is further configured for:

evaluating the traffic;

identifying a pattern that is based, at least, on classifying content within the traffic; and

classifying the traffic as uni-directional or bi-directional based on the pattern.

20. The apparatus of claim 16, wherein the apparatus is associated with a data center, and the network is a wide area network (WAN).