Toke ∆Q is both the concept (quallity attenuation - the fact that delay and potential for loss is both conserved and only every increases[1]) and for its representation as an improper random variable (one who's CDF doesn't necessarily reach one).
One of my adages is that "network quality" doesn' t exist - just like you can't buy a box of "dark" and make a room dark by opening the box, you can't buy a box of "network quality" - delivering quality in networks is managing (through bounding) the "quality attenuation" Neil [1] Delay and loss can be traded - i.e resends or even forward error correction - but you can't reduce the ∆Q - resends mean increased delay to cover loss, forward error correction means increased delay to cover bit error rates) etc This is true at any (and all layers) and in *every* queueing and scheduling mechanism, just one of those nasty universal properties that we can't get away from. On 27 Apr 2015, at 16:51, Toke Høiland-Jørgensen <[email protected]> wrote: > Neil Davies <[email protected]> writes: > >> Depends on your starting point: > > Right, having looked a bit more at this: > >> - if it is "how does this relate to the end user" - look at "the >> properties and mathematics of data transport quality" > > This mentions, on slide 30, an analytical model for predicting (changes > in) ∆Q. Is this Judy Holyer's "A Queueing Theory Model for Real Data > Networks", or does it refer to something else? > > -Toke _______________________________________________ Bloat mailing list [email protected] https://lists.bufferbloat.net/listinfo/bloat
