Invention Grant
- Patent Title: Learning technique for QoS based classification and prioritization of SAAS applications
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Application No.: US15401413Application Date: 2017-01-09
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Publication No.: US10757161B2Publication Date: 2020-08-25
- Inventor: Marco Murgia , Praveen Raja Dhanabalan , Anup Lal Gupta
- Applicant: Citrix Systems, Inc.
- Applicant Address: US FL Fort Lauderdale
- Assignee: Citrix Systems, Inc.
- Current Assignee: Citrix Systems, Inc.
- Current Assignee Address: US FL Fort Lauderdale
- Agency: Foley & Lardner LLP
- Main IPC: H04L29/06
- IPC: H04L29/06 ; H04L12/851 ; H04L12/833 ; H04L12/857

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.
Public/Granted literature
- US20180198838A1 LEARNING TECHNIQUE FOR QOS BASED CLASSIFICATION AND PRIORITIZATION OF SAAS APPLICATIONS Public/Granted day:2018-07-12
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