TY - BOOK AU - AU - ED - SpringerLink (Online service) TI - Vacation Queueing Models Theory and Applications T2 - International Series in Operations Research & Management Science, SN - 9780387337234 AV - HD30.23 U1 - 658.40301 23 PY - 2006/// CY - Boston, MA PB - Springer US KW - Economics KW - Computer network architectures KW - Computer science KW - Distribution (Probability theory) KW - Business logistics KW - Economics/Management Science KW - Operations Research/Decision Theory KW - Probability Theory and Stochastic Processes KW - Mathematical Modeling and Industrial Mathematics KW - Mathematics of Computing KW - Computer Systems Organization and Communication Networks KW - Production/Logistics N1 - M/G/1 Type Vacation Models: Exhaustive Service -- M/G/1 Type Vacation Models: Nonexhaustive Service -- General-Input Single Server Vacation Models -- Markovian Multiserver Vacation Models -- General-Input Multiserver Vacation Models -- Optimization in Vacation Models -- Applications of Vacation Models -- References; ZDB-2-SBE N2 - A classical queueing model consists of three parts - arrival process, service process, and queue discipline. However, a vacation queueing model has an additional part - the vacation process which is governed by a vacation policy - that can be characterized by three aspects: 1) vacation start-up rule; 2) vacation termination rule, and 3) vacation duration distribution. Hence, vacation queueing models are an extension of classical queueing theory. Vacation Queueing Models: Theory and Applications discusses systematically and in detail the many variations of vacation policy. By allowing servers to take vacations makes the queueing models more realistic and flexible in studying real-world waiting line systems. Integrated in the book's discussion are a variety of typical vacation model applications that include call centers with multi-task employees, customized manufacturing, telecommunication networks, maintenance activities, etc. Finally, contents are presented in a "theorem and proof" format and it is invaluable reading for operations researchers, applied mathematicians, statisticians; industrial, computer, electrical and electronics, and communication engineers; computer, management scientists; and graduate students in the above disciplines UR - http://dx.doi.org/10.1007/978-0-387-33723-4 ER -