Queuing theory is super cool, but I know I am about to regret modeling a sales pipeline as a markov process.
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It's pretty strange to open a advanced probability book on chapter 8, start reading, and think: "huh, I remember that," yet here we are.
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I find it very strange that Google Scholar isn't turning up recent papers on this topic. There's lots of class notes online on basic examples, but very little applied stuff.
There's textbooks, but that's also not really what I'm looking for.
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Jackson and Kelly networks are ideas from the 50s and 70s respectively. Since then applied queuing theory has optimized factories, amusement parks, telcos, ISPs, etc. Why is there so little content online? Am I just using the wrong keywords?
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Maybe you’re looking in the wrong place?
Lots of work in the 90s in control theory. For eg dspace.mit.edu/bitstream/hand
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I recall work on it using restless bandit models in stochastic control. Most interest is in serving multiple queues. Also in computer scheduling (OS theory) arxiv.org/pdf/1706.09778
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This stuff definitely wasn't turning up in my searches. Looks like this is closer to routing optimization, and less capacity/throughput planning.
Are restless bandits ~= multi-armed bandits?
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Part of that broad literature yes. Same underlying metaphor, different modeling details.
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