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1. Queueing Network Context

   • The Queueing Network Analyzer. by WW, Bell System Technical Journal, vol. 62, No. 9, November 1983, pp. 2779-2815. (The importance of (i) model parameters quantifying the level of stochastic variability and (ii) the impact of network structure.)

   • A Queueing Network Analyzer for Manufacturing. by Moshe Segal and WW, Teletraffic Science for New Cost-Effective Systems, Networks and Services, Proceedings of ITC 12 (ed. M. Bonatti), North-Holland, Amsterdam, 1989, pp. 1146-1152. (More complex algorithm to meet the needs of complex realities in manufacturing.)

   • Variability Functions for Parametric-Decomposition Approximations of Queueing Networks. by WW, Management Science, vol. 41, No. 10, 1995, pp. 1704-1715.

2. Point Processes, Dependence, Indices of Dispersion, Time Scales

   • Approximating a Point Process by a Renewal Process: Two Basic Methods. by WW, Operations Research, vol. 30, No. 1, January-February 1982, pp. 125-147. (What are: (i) the stationary-interval method and (ii) the asymptotic method? And why are they different?)

   • Characterizing Superposition Arrival Processes in Packet Multiplexers for Voice and Data. by K. Sriram and WW, IEEE Journal on Selected Areas in Communications, vol. SAC-4, No. 6, September 1986, pp. 833-846. (A superposition arrival process looks like something different in different time scales, a first-order issue for system performance; see Table 3.)

   • Dependence in Packet Queues. by Kerry W. Fendick, Vikram R. Saksena and WW, IEEE Transactions on Communications, vol. 37, No. 11, 1989, pp. 1173-1183. (High variability in queueing systems can be due to the dependence among the arrival and service times; see the variability parameters in display (3).)

   • Measurements and Approximations to Describe the Offered Traffic and Predict the Average Workload in a Single-Server Queue. by Kerry W. Fendick and WW, Proceedings of the IEEE, vol. 77, No. 1, 1989, pp. 171-194. (Ways to look at flow data in order to capture the impact of the variability, which is often caused by dependence.)