000			01574nam a22001937a 4500
005			20240207105535.0
008			240207b |||||||| |||| 00| 0 eng d
020			_a9781108401173
082			_a004.601 _bWEI
100			_aWeiss, Gideon _913996
245			_aScheduling and control of queueing networks
260			_bCambridge University Press _aCambridge _c2022
300			_axv, 430 p.
365			_aGBP _b39.99
520			_aApplications of queueing network models have multiplied in the last generation, including scheduling of large manufacturing systems, control of patient flow in health systems, load balancing in cloud computing, and matching in ride sharing. These problems are too large and complex for exact solution, but their scale allows approximation. This book is the first comprehensive treatment of fluid scaling, diffusion scaling, and many-server scaling in a single text presented at a level suitable for graduate students. Fluid scaling is used to verify stability, in particular treating max weight policies, and to study optimal control of transient queueing networks. Diffusion scaling is used to control systems in balanced heavy traffic, by solving for optimal scheduling, admission control, and routing in Brownian networks. Many-server scaling is studied in the quality and efficiency driven Halfin–Whitt regime and applied to load balancing in the supermarket model and to bipartite matching in ride-sharing applications.
650			_aComputer networks -- Mathematical models _915218
650			_aQueuing theory _915219
942			_cBK _2ddc
999			_c5729 _d5729