Methods and systems for detection of asymmetric network data traffic and associated network devices
A method includes monitoring a plurality of network devices to collect network performance data comprising data flow records of each device on the network and to create a network topology database, accessing the network topology database comprising information on an entry and exit point of each device, the manner in which the devices are connected and a plurality of data flow records on a single data flow from multiple devices on the network and utilizing the network topology database to perform an asymmetric detection algorithm to identify one or more data flows that exited a device via a first path and returned to the device via a different second path.
1. A method comprising:
monitoring, by a multi-tenant controller, a plurality of network devices to collect network performance data comprising data flow records of each device on the network and to create a network topology database that includes, for the plurality of network devices, a corresponding entry point and a corresponding exit point for each network device of the plurality of network devices, a manner in which the plurality of network devices are connected, and a plurality of data flow records on a single data flow from multiple devices on the network;
accessing the network topology database by the multi-tenant controller;
utilizing the network topology database, by the multi-tenant controller, to perform an asymmetric detection algorithm to detect an asymmetry by identifying one or more data flows between an originating source and a destination that exited a network device of the plurality of network devices via a first path and returned to the network device via a different second path; and
sending, by the multi-tenant controller, a command to the network device to permanently correct the detected asymmetry.
2. The method of claim 1 , wherein the identifying is based, at least in part, on latency attributes.
3. The method of claim 1 , further comprising performing application analysis on a per session basis.
4. The method of claim 1 , wherein the detected asymmetry is selected from the group consisting of bandwidth asymmetry, media access asymmetry, and loss rate asymmetry.
5. The method of claim 1 , wherein the network comprises connectivity selected from the group consisting of hybrid, physical, and logical.
6. The method of claim 1 , wherein a policy string defines a business policy for application to the data flows.
7. The method of claim 6 , wherein the policy string comprises a policy string format.
8. The method of claim 7 , wherein the policy string format is standardized.
9. The method of claim 1 , wherein the data flows are encrypted.
10. A system, including a multi-tenant controller, configured to:
monitor, by the multi-tenant controller, a plurality of network devices to collect network performance data comprising data flow records of each device on the network and to create a network topology database that includes, for the plurality of network devices, a corresponding entry point and a corresponding exit point for each network device of the plurality of network devices, a manner in which the plurality of network devices are connected, and a plurality of data flow records on a single data flow from multiple devices on the network;
access, by the multi-tenant controller, the network topology database;
utilize, by the multi-tenant controller, the network topology database to perform an asymmetric detection algorithm to detect an asymmetry by identifying one or more data flows between an originating source and a destination that exited a network device of the plurality of network devices via a first path and returned to the network device via a different second path; and
send, by the multi-tenant controller, a command to the network device to permanently correct the detected asymmetry.
11. The system of claim 10 , wherein the identifying is based, at least in part, on latency attributes.
12. The system of claim 10 , further configured to perform application analysis on a per session basis.
13. The system of claim 10 , wherein the detected asymmetry is selected from the group consisting of bandwidth asymmetry, media access asymmetry and loss rate asymmetry.
14. The system of claim 10 , wherein the network comprises connectivity selected from the group consisting of hybrid, physical and logical.
15. The system of claim 10 , wherein a policy string defines a business policy for application to the data flows.
16. The system of claim 15 , wherein the policy string comprises a policy string format.
17. The system of claim 16 , wherein the policy string format is standardized.
18. The system of claim 10 , wherein the data flows are encrypted.