Hi Toke, I'd really like to get it to be open source, and that's probably going to take a collaborative industry funding effort to achieve as a reference measurement implementation of a universal interoperable quality standard (i.e. ∆Q-based metrics). There's a mathematical inevitability to the end game of both metrics and scheduling, and we're very close to it. In the meantime, I can give you a trial version to play with. How about you give it a spin and share your feedback here of what you learned? Martin *About me Free newsletter * Company website Twitter Zoom My new start-up Not LinkedIn Martin Geddes Consulting Ltd, Incorporated in Scotland, number SC275827 VAT Number: 859 5634 72 Registered office: 17-19 East London Street, Edinburgh, EH7 4BN On 28 November 2017 at 11:03, Toke Høiland-Jørgensen wrote: > Martin Geddes writes: > > > The two critical references are this paper > > and this PhD thesis > > . The former describes > > "cherish-urgency" multiplexing. The "cherish" is what is different to > > today's scheduling. It is used to create a new class of algorithm > > whose goal is global optimisation, not local optimisation (and global > > pessimisation). > > Cool, thanks; I'll add that to my reading list (well, the paper > certainly; not sure I'll get the time to go through the whole 200+ page > thesis anytime soon :/) > > > The latter describes a paradigm change from "build it and then reason > > about emergent performance" to "reason about engineered performance > > and then build it". It works in practise > > >, > > so whether it works in theory is left as an exercise to the reader. > > I don't suppose there's an open source implementation available to play > with? > > -Toke >