Local breakout is an early use case for mobile edge computing.
Palo Alto will sell LightCyber products until its tech is integrated into its security platform.
I was at Cisco Live in Berlin last week, and I came away with a question: why no YANG?
Here is a YANG model represented in YIN—this one describes an interface in Quagga, and is easy to read:
YANG can be expressed in many ways, such as YIN, or in a model format (which is still easy to read), or in json format. This is an example of HTML, taken from the Vimeo site:
The YIN representation of YANG is XML, and XML is also a superset of HTML.
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Proportional Integral Controller Enhanced (PIE) is another active queue management algorithm for dropping packets.
Similar to RED, PIE randomly drops an
incoming packet at the onset of congestion. Congestion detection,
however, is based on the queuing latency instead of the queue length
(as with RED). Furthermore, PIE also uses the derivative (rate of
change) of the queuing latency to help determine congestion levels
and an appropriate response. The design parameters of PIE are chosen
via control theory stability analysis. While these parameters can be
fixed to work in various traffic conditions, they could be made
self-tuning to optimize system performance.
We know that Bufferbloat is problem, and there are many algorithms proposed. PIE might be suitable for existing network hardware since its approximates Random Early Discard. BBR Congestion Control has been suggested and implemented by Google (related to QUIC/HTTP2) and possibly has the momentum, so I’m not sure if PIE
Link:https://www.rfc-editor.org/rfc/rfc8033.txt
Link: BBR: Congestion-Based Congestion Control – ACM Queue – http://queue.acm.org/detail.cfm?id=3022184
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