New bounds for expected delay in FIFO GI/GI/c queues
Queueing Systems: Theory and Applications
Further delay moment results for FIFO multiserver queues
Queueing Systems: Theory and Applications
The impact of a heavy-tailed service-time distribution upon the M/GI/s waiting-time distribution
Queueing Systems: Theory and Applications
Waiting-Time Asymptotics for the M/G/2 Queue with Heterogeneous Servers
Queueing Systems: Theory and Applications
Network capacity allocation for traffic with time priorities
International Journal of Network Management
Heavy Tails in Multi-Server Queue
Queueing Systems: Theory and Applications
Surprising results on task assignment in server farms with high-variability workloads
Proceedings of the eleventh international joint conference on Measurement and modeling of computer systems
Performance Evaluation
Capacity allocation for long tailed traffic in packet switching networks
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Generalized Lindley-type recursive representations for multiserver tandem queues with blocking
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Queueing Systems: Theory and Applications
On Large Delays in Multi-Server Queues with Heavy Tails
Mathematics of Operations Research
Hi-index | 0.00 |
For stable FIFO GI/GI/s queues, s \geq 2, we show that finite (k+1)st moment of service time, S, is not in general necessary for finite kth moment of steady-state customer delay, D, thus weakening some classical conditions of Kiefer and Wolfowitz (1956). Further, we demonstrate that the conditions required for \mathrm{E}[D^k] are closely related to the magnitude of traffic intensity \rho (defined to be the ratio of the expected service time to the expected interarrival time). In particular, if \rho is less than the integer part of s/2, then \mathrm{E}[D] if \mathrm{E}[S^{3/2}], and \mathrm{E}[D^k] if \mathrm{E}[S^k]. On the other hand, if s-1 , then \mathrm{E}[D^k] if and only if \mathrm{E}[S^{k+1}]. Our method of proof involves three key elements: a novel recursion for delay which reduces the problem to that of a reflected random walk with dependent increments, a new theorem for proving the existence of finite moments of the steady-state distribution of reflected random walks with stationary increments, and use of the classic Kiefer and Wolfowitz conditions.