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Seven Insights into Queueing Theory [pdf]

133 points| bshanks | 6 years ago |treewhimsy.com | reply

17 comments

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[+] rgoldste|6 years ago|reply
To anyone who finds these models interesting and wants to learn a lot more - I’d highly recommend Mor Harchol-Balter’s textbook: https://www.amazon.com/Performance-Modeling-Design-Computer-.... (She is currently a professor at Carnegie Mellon).

(Self-repost from an earlier queuing theory thread).

[+] buo|6 years ago|reply
My favorite book on the subject is Telecommunication Networks: Protocols, Modeling and Analysis by Mischa Schwartz. It's one of the rare books that go very deep into the math, but explains it almost step by step, so it is very accessible.
[+] cfallin|6 years ago|reply
Yes, absolutely, seconded! I was fortunate enough to take her class (which she taught using this book) and I left the class feeling like I really understood things, having proved everything starting from basic probability. The rigor is admirable.
[+] hyperpape|6 years ago|reply
I think you might have a dead link.
[+] virtuous_signal|6 years ago|reply
Despite having a math background, I got stuck on page 1, which is supposed to be definitions, where "Utilization" is used without being defined. With some googling, it turns out this is the ratio of a Poisson parameter to an exponential parameter, under the assumption that arrivals are Poisson distributed and service times are exponentially distributed. Basically, utilization = (average rate of arrivals)*(average service time).
[+] thraxil|6 years ago|reply
As it's used on the first page, "utilization" is just the fraction of time that the "service center" is in use. So if it's not doing any work at all, it would be 0, fully utilized would be 1. I don't think you need to connect it to Poisson distributions or go into much more depth to use it to understand the gist of the rest of the paper. I assume that since this is an excerpt from a book, it would've been defined elsewhere.