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The sometimes dramatic impact of queue scheduling disciplines on performance may have important implications for the choice of scheduling disciplines in designing switches in communication networks We have extended the heavy traf c limit theorem 631 to the case of an M=G=1 queue with priority classes, and we have exploited the resulting limit theorem to derive a heavy traf c approximation for the waiting time distribution of low-priority customers [11] In Boxma and Cohen [9] we had already obtained an approximation for the waiting time distribution for the M=G=1 queue with heavy-tailed service time distribution by using the heavy traf c limit theorem In both studies, the resulting approximation is remarkably sharp, even when traf c is not heavy at all It is conjectured that similar approximations can be developed for the GI =G=1 queue with heavy-tailed interarrival. scanner with ocr softwareDownload the latest drivers, firmware, and software for your HP Officejet Pro 8600 ... 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It is important to perform many more numerical experiments to get more insight into the effect of long-tailed traf c characteristics on performance measures, and to be able to develop useful approximations. The weak convergence results of Section 6.6 for the GI =G=1 workload in heavy traf c can probably be extended in several directions. For example, it is of interest to study networks of queues. 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