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.
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.
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).
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.
[+] [-] rgoldste|6 years ago|reply
(Self-repost from an earlier queuing theory thread).
[+] [-] buo|6 years ago|reply
[+] [-] colechristensen|6 years ago|reply
[+] [-] cfallin|6 years ago|reply
[+] [-] hyperpape|6 years ago|reply
[+] [-] jph|6 years ago|reply
[+] [-] virtuous_signal|6 years ago|reply
[+] [-] thraxil|6 years ago|reply
[+] [-] User23|6 years ago|reply
[1] https://en.wikipedia.org/wiki/Little%27s_law
[+] [-] jihadjihad|6 years ago|reply
[+] [-] opportune|6 years ago|reply