SYSTEMS AND METHODS FOR OPTIMIZATION OF TRANSMISSION OF REAL-TIME DATA VIA NETWORK LABELING

• US 20160315993A1
• Filed: 04/27/2016
• Published: 10/27/2016
• Est. Priority Date: 06/27/2014
• Status: Active Grant

• Current Assignee: Agora Lab, Inc. (Agora, Inc. (China))
• Original Assignee: Agora Lab, Inc. (Agora, Inc. (China))
• Inventors: Li, Wei, Zhao, Bin
• Granted Patent: US 10,412,145 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: H04L 12/18 for broadcast or conference , e.g. multicast
• CPC Class Codes: H04L 12/1827 Network arrangements for conference optimisation or adaptation
• CPC Class Codes: H04L 12/1831 Tracking arrangements for later retrieval, e.g. recording contents, participants activities or behavior, network status
• CPC Class Codes: H04L 2101/622 Layer-2 addresses, e.g. medium access control [MAC] addresses
• CPC Class Codes: H04L 41/145 involving simulating, designing, planning or modelling of a network
• CPC Class Codes: H04L 43/062 related to network traffic
• CPC Class Codes: H04L 43/0829 Packet loss
• CPC Class Codes: H04L 43/0858 One way delays
• CPC Class Codes: H04L 43/087 Jitter
• CPC Class Codes: H04L 43/16 Threshold monitoring
• CPC Class Codes: H04L 43/55 Testing of service level quality, e.g. simulating service usage
• CPC Class Codes: H04L 45/123 Evaluation of link metrics techniques for monitoring network metrics H04L43/08
• CPC Class Codes: H04L 47/283 in response to processing delays, e.g. caused by jitter or round trip time [RTT]
• CPC Class Codes: H04L 47/722 at the destination endpoint, e.g. reservation of terminal resources or buffer space
• CPC Class Codes: H04L 51/234 for tracking messages
• CPC Class Codes: H04L 65/403 Arrangements for multi-party communication, e.g. for conferences data switching systems for conference H04L12/18; arrangements for connecting several subscribers to a common circuit, i.e. affording conference facilities H04M3/56; television conferencing systems H04N7/15
• CPC Class Codes: H04L 65/4038 with floor control
• CPC Class Codes: H04L 65/80 Responding to QoS
• CPC Class Codes: H04M 1/24 Arrangements for testing
• CPC Class Codes: H04M 1/2535 adapted for voice communication over an Internet Protocol [IP] network Voice over Internet Protocol (VoIP) network equipment and services H04M7/006; implementation or adaptation of Internet protocol [IP], of transmission control protocol [TCP] or of user datagram protocol [UDP] H04L69/16
• CPC Class Codes: H04M 2250/62 : user interface aspects of conference calls
• CPC Class Codes: H04M 2250/74 : with voice recognition means voice activated dialling H04M1/271; voice recognition algorithms G10L15/00
• CPC Class Codes: H04M 3/2236 : Quality of speech transmission monitoring
• CPC Class Codes: H04M 7/006 : Networks other than PSTN/ISDN providing telephone service, e.g. Voice over Internet Protocol (VoIP) , including next generation networks with a packet-switched transport layer H04L65/00 takes precedence; aspects not specific to the type of network H04M3/00; special services in those networks H04M3/42
• CPC Class Codes: H04M 7/0084 : Network monitoring; Error detection; Error recovery; Network testing

Abstract

The present invention relates to systems and methods for network labeling in order to enhance real time data transfers. A network for a real time data transfer is identified and predictive models for network performance are compared against to determine if the network is suitable for the data transfer. If so, then the real time data transfer may be completed as expected. However, if the network is predicted to be unsuitable for transmission an alternate means for connection may be suggested. The alternate suggestion may include delaying the data transfer until the network is expected to be in better conditions, connecting to another access point in the network, or switching to another network entirely. During the data transfer, the quality of the network is monitored in order to update the predictive models for the network'"'"'s quality. Identifiers for the network may be utilized to keep track of the networks. Network signal strength, signal pollution and time may also be tracked in order to identify patterns in the network'"'"'s performance.

Claims

1. A computerized network labeling method comprising:

identifying a first network for a real time data transfer;

comparing the first network to a database of performance models;

determining if the first network is suitable for the real time data transfer;

if suitable continuing the real time data transfer on the first network, otherwise if not suitable providing an alternate suggestion;

monitoring the real time data transfer for performance information; and

analyzing the performance information to generate at least one performance model.

2. The method of claim 1, wherein the first network is identified by at least one of a router BSSID and a MAC address.

3. The method of claim 1, wherein the at least one router BSSID and MAC address is hashed.

4. The method of claim 1, further comprising determining an accuracy measure for the at least one performance model.

5. The method of claim 4, wherein the determining if the first network is suitable for the real time data transfer includes comparing the accuracy measure of the performance model for the first network to a threshold.

6. The method of claim 1, wherein the performance information includes a network identifier, network signal strength, signal pollution, GEO, and a temporal element.

7. The method of claim 1, wherein the alternate suggestion includes at least one of suggesting a better performing network and delaying the real time data transfer.

8. The method of claim 7, wherein the better performing network is one of a cellular network, a better performing nearby access point, and a public switched telephone network (PSTN).

9. The method of claim 1, further comprising a last mile optimization comprising sending pseudo-packets to a last mile optimizer located at each of several best servers to identify a single best edge server for transmission, receiving feedback from each of the last mile optimizers, selecting the single best server from the several best servers based on the feedback, applying a plurality of transporter algorithms to pseudo-packets sent to the single best server;

and measuring quality of service for each transporter algorithm to determine which are effective.

10. The method of claim 9, wherein jitter, latency and packet loss are measured for the transmitted pseudo-packets to determine quality of service for each of the several best edge servers, and wherein identifying the single best edge server includes balancing the latency, jitter and packet loss measurements to estimate quality of service for each of the several best edge servers.

11. A computerized network label system comprising:

a network data collector configured to identify a first network for a real time data transfer;

a labeler configured to compare the first network to a database of performance models, determine if the first network is suitable for the real time data transfer, and if suitable, continue the real time data transfer on the first network, otherwise if not suitable provide an alternate suggestion;

the network data collector further configured to monitor the real time data transfer for performance information; and

a modeling module configured to analyze the performance information to generate at least one performance model.

12. The system of claim 11, wherein the first network is identified by at least one of a router BSSID and a MAC address.

13. The system of claim 11, wherein the network data collector is further configured to hash the least one router BSSID and MAC address.

14. The system of claim 11, wherein the modeling module is further configured to determine an accuracy measure for the at least one performance model.

15. The system of claim 14, wherein the labeler determining if the first network is suitable for the real time data transfer is further configured to compare the accuracy measure of the performance model for the first network to a threshold.

16. The system of claim 11, wherein the performance information includes a network identifier, network signal strength, signal pollution, and a temporal element.

17. The system of claim 11, wherein the alternate suggestion includes at least one of suggesting a better performing network and delaying the real time data transfer.

18. The system of claim 17, wherein the better performing network is one of a cellular network, and a public switched telephone network (PSTN).

19. The system of claim 11, further comprising an application configured to send pseudo-packets to a last mile optimizer located at each of several best servers to identify a single best edge server for transmission, receive feedback from each of the last mile optimizers, select the single best server from the several best servers based on the feedback, apply a plurality of transporter algorithms to pseudo-packets sent to the single best server;

and measure quality of service for each transporter algorithm to determine which are effective.

20. The system of claim 19, wherein jitter, latency and packet loss are measured for the transmitted pseudo-packets to determine quality of service for each of the several best edge servers, and wherein identifying the single best edge server includes balancing the latency, jitter and packet loss measurements to estimate quality of service for each of the several best edge servers.