Partitioning Customers into Service Groups

References

• Abate J., Choudhury G. L., Whitt W. Waiting-time tail probabilities in queues with long-tail service-time distributions. Queueing Systems (1994) 16:311–338Crossref, Google Scholar
• Asmussen S., Nerman O., Olsson M. Fitting phase type distributions via the EM algorithm. Scandanavian J. Statist. (1996) 23:419–441Google Scholar
• Bertsimas D. An exact FCFS waiting time analysis for a general class of G/G/squeueing systems. Queueing Systems (1988) 3:305–320Crossref, Google Scholar
• Bitran G. R., Dasu S. A review of queueing network models of manufacturing systems. Queueing Systems (1992) 12:95–133Crossref, Google Scholar
• Buzacott J. A. Commonalities in reengineered business processes: models and issues. Management Sci. (1996) 42:768–782Link, Google Scholar
• Buzacott J. A., Shanthikumar J. G. Design of manufacturing systems using queueing models. Queueing Systems (1992) 12:135–213Crossref, Google Scholar
• Buzacott J. A., Shanthikumar J. G.Stochastic Models of Manufacturing Systems (1993) (Prentice-Hall, Englewood Clifs, NJ) Google Scholar
• Crovella M. E., Bestavros A. Self-similarity in World Wide Web Traffic—Evidence and possible causes. Proc. ACM Sigmetrics '96 (1996) 160–169Crossref, Google Scholar
• Davis J. L., Massey W. A., Whitt W. Sensitivity to the service-time distribution in the nonstationary Erlang loss model. Management Sci. (1995) 4:1107–1116Link, Google Scholar
• Eick S. G., Massey W. A., Whitt W. The physics of the Mt/G/∞queue. Oper. Res. (1993) 41:731–742Link, Google Scholar
• Feldmann A., Whitt W. Fitting mixtures of exponentials to long-tail distributions to analyze network performance models. Performance Eval. (1998) 31:245–279Crossref, Google Scholar
• Fendick K. W., Whitt W. Measurements and approximations to describe the offered traffic and predict the average workload in a single-server queue. Proc. IEEE (1989) 77:171–194Crossref, Google Scholar
• Green L. V. A queueing system with general-use and limiteduse servers. Oper. Res. (1985) 33:168–182Link, Google Scholar
• Green L. V., Guha D. On the efficiency of imbalance in multi-facility multi-server service systems. Management Sci. (1995) 41:179–187Link, Google Scholar
• Harris C. M., Marchal W. G. Distribution estimation using laplace transforms. INFORMS J. Comput. (1998) 10:448–458Link, Google Scholar
• Jennings O. B., Mandelbaum A., Massey W. A., Whitt W. Server staffing to meet time-varying demand. Management Sci. (1996) 42:1383–1394Link, Google Scholar
• Larson R. C. Perspectives on queues: Social justice and the psychology of queueing. Oper. Res. (1987) 35:895–905Link, Google Scholar
• Lee A. M., Longton P. A. Queueing processes associated with airline passengers check-in. Oper. Res. Quart. (1959) 10:56–71Crossref, Google Scholar
• Mandelbaum A., Reiman M. I. On pooling in queueing networks. Management Sci. (1998) 44:971–981Link, Google Scholar
• Rothkopf M. H., Rech P. Perspectives on queues: Combining queues is not always beneficial. Oper. Res. (1987) 35:906–909Link, Google Scholar
• Sakasegawa H. An approximation formula Lqq= αβρ/(1 − ρ). Ann. Inst. Statist. Math. (1977) 29:67–75Crossref, Google Scholar
• Seelen L. P. An algorithm for Ph/Ph/cqueues. Eur. J. Oper. Res. (1986) 23:118–127Crossref, Google Scholar
• de Smit J. H. A. A numerical solution for the multi-server queue with hyperexponential service times. Oper. Res. Lett. (1983) 2:217–224Crossref, Google Scholar
• Smith D. R., Whitt W. Resource sharing for efficiency in traffic systems. Bell System Tech. J. (1981) 60:39–55Crossref, Google Scholar
• Whitt W. The queueing network analyzer. Bell System Tech. J. (1983) 62:2779–2815Crossref, Google Scholar
• Whitt W. The best order for queues in series. Management Sci. (1985) 31:475–487Link, Google Scholar
• Whitt W. Understanding the efficiency of multi-server service systems. Management Sci. (1992) 38:708–723Link, Google Scholar
• Whitt W. Approximations for the GI/G/mqueue. Production and Oper. Management (1993) 2:114–161Crossref, Google Scholar
• Whitt W. The impact of a heavy-tailed service-time distribution upon the M/G/swaiting-time distribution. (1998) . AT & T Labs, Florham Park, NJGoogle Scholar
• Willinger W., Taqqu M. S., Sherman R., Wilson D. V. Self similarity through high variability: Statistical analysis of Ethernet LAN traffic at the source level. Proc. ACM SIGCOMM Sympos. Comm. Architectures and Protocols (1995) 100–113Crossref, Google Scholar