LEARNING TECHNIQUE FOR QOS BASED CLASSIFICATION AND PRIORITIZATION OF SAAS APPLICATIONS

    公开(公告)号:US20200374336A1

    公开(公告)日:2020-11-26

    申请号:US16992948

    申请日:2020-08-13

    Abstract: The systems and methods of the present disclosure are directed towards a dynamic system that is configured to identify and map networked traffic, such as that of video, voice, file transfer, and web based applications to predetermined Quality of Service (QoS) classes. The different QoS classes can be associated with different traffic priorities. The networked traffic can be encrypted, which can prevent an intermediate device from processing or otherwise reading the packet headers of the traffic. The systems and methods of the present disclosure can predict QoS classes for encrypted traffic based on traffic patterns and other characteristics of the encrypted traffic.

    METHOD FOR PRIORITIZATION OF INTERNET TRAFFIC BY FINDING APPROPRIATE INTERNET EXIT POINTS

    公开(公告)号:US20200099612A1

    公开(公告)日:2020-03-26

    申请号:US16696014

    申请日:2019-11-26

    Abstract: The systems and methods discussed herein provide for faster communications, particularly for high priority traffic, across a distributed network with multiple exit points to a Wide Area Network. Rather than simply routing traffic based on internal or external destination, an intelligent router may measure latency to an endpoint destination via multiple paths, both external and internal, and direct traffic accordingly. Steering high priority traffic via the internal connection to an exit point near the destination server, and then to the server via the external network, may be faster than simply forwarding the connection via the external network from the exit point closest to the source device. Additionally, to reduce bandwidth requirements of the nearby exit point and provide capability for higher priority traffic, low priority traffic may be redirected back via the internal connection and transmitted via a distant exit point.

    Method for prioritization of internet traffic by finding appropriate internet exit points

    公开(公告)号:US10516601B2

    公开(公告)日:2019-12-24

    申请号:US15875437

    申请日:2018-01-19

    Abstract: The systems and methods discussed herein provide for faster communications, particularly for high priority traffic, across a distributed network with multiple exit points to a Wide Area Network. Rather than simply routing traffic based on internal or external destination, an intelligent router may measure latency to an endpoint destination via multiple paths, both external and internal, and direct traffic accordingly. Steering high priority traffic via the internal connection to an exit point near the destination server, and then to the server via the external network, may be faster than simply forwarding the connection via the external network from the exit point closest to the source device. Additionally, to reduce bandwidth requirements of the nearby exit point and provide capability for higher priority traffic, low priority traffic may be redirected back via the internal connection and transmitted via a distant exit point.

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