Learning technique for qos based classification and prioritization of saas applications

US2020374336A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2020374336-A1
Application numberUS-202016992948-A
CountryUS
Kind codeA1
Filing dateAug 13, 2020
Priority dateJan 9, 2017
Publication dateNov 26, 2020
Grant date

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

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.

First claim

Opening claim text (preview).

What is claimed: 1 . A method comprising: identifying, by a device, a first priority for a first data stream having at least encrypted packet headers obfuscated to the device; comparing, by the device, a characteristic of network traffic of the first data stream to one or more characteristics of network traffic of one or more second data streams having at least unencrypted packet headers; determining, by the device responsive to the comparison, a second priority for the first data stream using the characteristic and a traffic pattern identified for the first data stream; and using, by the device, the second priority for the first data stream instead of the first priority. 2 . The method of claim 1 , further comprising identifying, by the device, the first priority based at least on the characteristic of network traffic of the first data stream. 3 . The method of claim 1 , further comprising identifying, by the device, the characteristic of network traffic comprising at least one of latency, jitter deviation, throughput, packet size, packet header information, or data loss. 4 . The method of claim 1 , further comprising identifying, by the device, the traffic pattern of the first data stream as one of a high bandwidth traffic pattern, a latency-sensitive traffic pattern or a response-based traffic pattern. 5 . The method of claim 1 , further comprising identifying, by the device, an application of the first data stream based at least on the characteristic of network traffic. 6 . The method of claim 1 , further comprising measuring, by the device, the characteristic of network traffic subsequent to applying the second priority to the first data stream to determine if the characteristic improved. 7 . The method of claim 1 , further comprising setting, by the device, priority of the first data stream to one of the first priority or a third priority if the characteristic has not improved. 8 . A device comprising: one or more processors, coupled to memory and configured to: identify a first priority for a first data stream having at least encrypted packet headers obfuscated to the device; compare a characteristic of network traffic of the first data stream to one or more characteristics of network traffic of one or more second data streams having at least unencrypted packet headers; determine, responsive to the comparison, a second priority for the first data stream using the characteristic and a traffic pattern identified for the first data stream; and use the second priority for the first data stream instead of the first priority. 9 . The device of claim 8 , wherein the one or more processors are further configured to identify the first priority based at least on the characteristic of network traffic of the first data stream. 10 . The device of claim 8 , wherein the one or more processors are further configured to identify the characteristic of network traffic comprising at least one of latency, jitter deviation, throughput, packet size, packet header information or data loss. 11 . The device of claim 8 , wherein the one or more processors are further configured to identify the traffic pattern of the first data stream as one of a high bandwidth traffic pattern, a latency-sensitive traffic pattern or a response-based traffic pattern. 12 . The device of claim 8 , wherein the one or more processors are further configured to measure the characteristic of network traffic subsequent to applying the second priority to the first data stream to determine if the characteristic improved. 13 . The device of claim 8 , further wherein the one or more processors are further configured to change priority of the first data stream to one of the first priority or a third priority if the characteristic has not improved. 14 . The device of claim 8 , wherein the device identifies the first data stream and the one or more second streams from network traffic between one or more clients and one or more servers traversing the device. 15 . A system comprising: a device intermediary to one or more clients and one or more servers, the device configured to: identify a plurality of data streams communicated between the one or more clients and the one or more servers; identify from the plurality of data streams a first data stream having at least one or more portions of packet headers encrypted; compare a characteristic of network traffic of the first data stream to one or more characteristics of network traffic of one or more second data streams of the plurality of data streams having least one or more portions of packet headers unencrypted; determine, responsive to the comparison, a second priority for the first data stream using the characteristic and a traffic pattern identified for the first data stream; and use the second priority for the first data stream instead of the first priority. 16 . The system of claim 15 , wherein the device is further configured to identify the first priority based at least on the characteristic of network traffic of the first data stream. 17 . The system of claim 15 , wherein the characteristic of network traffic comprises at least one of latency, jitter deviation, throughput, packet size, packet header information or data loss. 18 . The system of claim 15 , wherein the traffic pattern comprises one of a high bandwidth traffic pattern, a latency-sensitive traffic pattern or a response-based traffic pattern. 19 . The system of claim 15 , wherein the device is further configured to measure the characteristic of the network traffic subsequent to applying the second priority to the first data stream to determine if the characteristic improved. 20 . The system of claim 16 , wherein the device is further configured to change priority of the first data stream to one of the first priority or a third priority if the characteristic has not improved.

Assignees

Inventors

Classifications

  • Allocation of priorities to traffic types · CPC title

  • for supporting one-way streaming services, e.g. Internet radio · CPC title

  • relying on flow classification, e.g. using integrated services [IntServ] · CPC title

  • Modification of priorities while in transit · CPC title

  • Mapping quality of service [QoS] requirements between different networks · CPC title

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Frequently asked questions

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What does patent US2020374336A1 cover?
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…
Who is the assignee on this patent?
Citrix Systems Inc
What technology area does this patent fall under?
Primary CPC classification H04L47/2433. Mapped technology areas include Electricity.
When was this patent published?
Publication date Thu Nov 26 2020 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).