Systems and methods for dynamic adaptation of network accelerators

• US 9,923,826 B2
• Filed: 10/10/2012
• Issued: 03/20/2018
• Est. Priority Date: 10/14/2011
• Status: Active Grant

• Current Assignee: Citrix Systems, Inc. (Cloud Software Group)
• Original Assignee: Citrix Systems, Inc. (Cloud Software Group)
• Inventors: Murgia, Marco
• Primary Examiner(s): Lee, Bryan
• Assistant Examiner(s): GIDADO, OLUWATOSIN M
• Application Number:
  US13/648,975
• Publication Number:
  US 20140101306A1
• Time in Patent Office: 1,987 Days
• Field of Search: 709223, 709224
• CPC Class Codes: H04L 47/125 by balancing the load, e.g. traffic engineering

Abstract

Systems and methods of the present solution provide a more optimal solution by dynamically and automatically reacting to changing network workload. A system that starts slowly, either by just examining traffic passively or by doing sub-optimal acceleration can learn over time, how many peer WAN optimizers are being serviced by an appliance, how much traffic is coming from each peer WAN optimizers, and the type of traffic being seen. Knowledge from this learning can serve to provide a better or improved baseline for the configuration of an appliance. In some embodiments, based on resources (e.g., CPU, Memory, Disk), the system from this knowledge may determine how many WAN optimization instances should be used and of what size, and how the load should be distributed across the instances of the WAN optimizer.

Claims

1. A method for managing a plurality of instances of a Wide Area Network (WAN) optimizer executing on an intermediary device, the method comprising:

(a) establishing, by a device intermediary to a plurality of clients and a plurality of servers, a plurality of instances of a Wide Area Network (WAN) optimizer on the device to accelerate via compression WAN communications between the plurality of clients and the plurality of servers, the device establishing a configuration of a size of each of the plurality of instances of the WAN optimizer based on data stored from monitoring of previous execution of the plurality of instances of the WAN optimizer;

(b) monitoring, by the device, network traffic traversing the device for each of the plurality of instances of the WAN optimizer; and

(c) selecting, by a manager executing on the device responsive to the monitoring, a change of a load balancing scheme to load balance the plurality of instances of the WAN optimizer on the device; and

(d) automatically changing, by the manager responsive to the monitoring, at least one of the number of instances of the WAN optimizer executing on the device or a size of resource usage of the device used by one or more of the plurality of instances of the WAN optimizer.

2. The method of claim 1, wherein step (a) further comprises executing, by the device, each of the plurality of instances of the WAN optimizer as a virtual machine in a virtualized environment.

3. The method of claim 1, wherein step (b) further comprises monitoring, by the device, compression history allocation, compression fragmentation and compression ratios of each of the plurality of instances of the WAN optimizer.

4. The method of claim 1, wherein step (b) further comprises monitoring, by the device, one or more of the following of each of the plurality of instances of the WAN optimizer:

resource utilization, number of connections, number of claims and bandwidth usage.

5. The method of claim 1, wherein step (c) further comprises determining, by the device, that a metric computed from monitoring network traffic has exceeded a threshold and responsive to the determination, automatically selecting by the device a second load balancing scheme to load balance the plurality of instances of the WAN optimizer.

6. The method of claim 1, wherein step (c) further comprises automatically switching, by the device, from the load balancing scheme to the selected load balancing scheme while executing the plurality of instances of the WAN optimizer.

7. The method of claim 1, further comprising automatically decreasing, by the device responsive to the monitoring, the number of instances of the WAN optimizer executing on the device.

8. The method of claim 1, further comprising automatically adjusting, by the device responsive to the monitoring, a decrease in the size of resource usage used by one or more of the plurality of instances of the WAN optimizer.

9. The method of claim 1, further comprises applying, by the device one or more rules to data collected from monitoring, to determine to change one or more of the following:

a number of instances of the WAN optimizer, a size of one or more WAN optimizers and the load balancing scheme.

10. A system for managing a plurality of instances of a Wide Area Network (WAN) optimizer executing on an intermediary device, the system comprising:

a device intermediary to a plurality of clients and a plurality of servers;

a plurality of instances of a Wide Area Network (WAN) optimizer executing on the device to accelerate via compression WAN communications between the plurality of clients and the plurality of servers, the device configured to determine a configuration of a size of each of the plurality of instances of the WAN optimizer based on data stored from monitoring of previous execution of the plurality of instances of the WAN optimizer;

a monitor that monitors network traffic traversing the device for each of the plurality of instances of the WAN optimizer; and

a manager executing on the device that, responsive to the monitor, selects a change of a load balancing scheme to load balance the plurality of instances of the WAN optimizer on the device; and

automatically changes at least one of the number of instances of the WAN optimizer executing on the device or a size of resource usage of the device used by one or more of the plurality of instances of the WAN optimizer.

11. The system of claim 10, wherein each of the plurality of instances of the WAN optimizer execute as a virtual machine in a virtualized environment.

12. The system of claim 10, wherein the monitor monitors compression history allocation, compression fragmentation and compression ratios of each of the plurality of instances of the WAN optimizer.

13. The system of claim 10, wherein the monitor monitors one or more of the following of each of the plurality of instances of the WAN optimizer:

resource utilization, number of connections, number of claims and bandwidth usage.

14. The system of claim 10, wherein the manager determines that a metric computed from monitoring network traffic has exceeded a threshold and responsive to the determination, automatically selects a second load balancing scheme to load balance the plurality of instances of the WAN optimizer.

15. The system of claim 10, wherein the manager automatically switches from a current load balancing scheme to the selected load balancing scheme while executing the plurality of instances of the WAN optimizer.

16. The system of claim 10, wherein the manager, responsive to the monitor, automatically changes the number of instances of the WAN optimizer being load balanced by the manager.

17. The system of claim 10, wherein the manager automatically adjusts, responsive to the monitor, a size of resource usage used by one or more of the plurality of instances of the WAN optimizer being load balanced by the manager.

18. The system of claim 10, wherein the manager applies one or more rules to data collected from monitoring, to determine to change one or more of the following:

a number of instances of the WAN optimizer, a size of one or more WAN optimizers and the load balancing scheme.