Getting Started
How NetScaler Video Optimization Works
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Detect Progressive Download (PD) videos over HTTP.
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Detect and optimize ABR videos over HTTP.
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Detect and optimize ABR videos over HTTPS.
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Detect and optimize YouTube ABR videos over QUIC.
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Unencrypted ABR videos over TCP. Appliance detects all standard compliant video streaming web sites. The appliance detects ABR sessions by inspecting the response video payload header, URL, and HTTP headers.
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Encrypted ABR video over TCP. Appliance detects ABR sessions using a generic and heuristic algorithm based on domain, SSL header and traffic patterns. Using this, the appliance has a built-in support to detect top video web sites, with 95 percent accuracy and we continue to add support for new video types. NetScaler also has a program to provide additional verification for top encrypted ABR sites for a region or country to ensure network coverage.
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Encrypted ABR videos over QUIC. The appliance detects ABR sessions for QUIC based video provider, such as YouTube. The detection algorithm is on the basis of a heuristic leveraging the QUIC headers and domain. NetScaler will continue to add support for newer video sites using QUIC.
Benefits
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Manage the network during congestion in peak hours.
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Improve video play consistency and reduce video stalling.
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Enable new video service offerings (for example, Binge-on video services).
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Enable customers to select the best sustainable video quality.
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Provide a consistent user experience for the subscriber.

Video Optimization over TCP
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HTTP or HTTPS traffic that the appliance receives over TCP is sent to the corresponding load balancing virtual server.
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The built-in detection policies bound to the virtual server combined with other proprietary detection algorithms evaluate the traffic.
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The policies use a set of built-in video detection signatures to detect the video type. The policy that matches traffic applies an action that categorizes the video type as one of the following:
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Clear-text PD
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Clear-text ABR
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Encrypted ABR
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Other
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The optimization policies bound to the same virtual server evaluate the traffic and determine the optimization bit rate to apply to the traffic.
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The optimization bit rate is applied if the traffic is either clear-text ABR or encrypted ABR.