The Fourier-series method for inverting transforms of probability distributions
Queueing Systems: Theory and Applications - Numerical computations in queues
Time-shared Systems: a theoretical treatment
Journal of the ACM (JACM)
Asymptotics for M/G/1 low-priority waiting-time tail probabilities
Queueing Systems: Theory and Applications
Tails of waiting times and their bounds
Queueing Systems: Theory and Applications
Sojourn time asymptotics in the M/G/1 processor sharing queue
Queueing Systems: Theory and Applications
Large Deviation Analysis of Subexponential Waiting Times in a Processor-Sharing Queue
Mathematics of Operations Research
Tail asymptotics for discriminatory processor-sharing queues with heavy-tailed service requirements
Performance Evaluation - Long range dependence and heavy tail distributions
Numerical Transform Inversion Using Gaussian Quadrature
Probability in the Engineering and Informational Sciences
Large deviations of sojourn times in processor sharing queues
Queueing Systems: Theory and Applications
The equivalence between processor sharing and service in random order
Operations Research Letters
Sojourn time asymptotics in processor-sharing queues
Queueing Systems: Theory and Applications
Tail behavior of conditional sojourn times in Processor-Sharing queues
Queueing Systems: Theory and Applications
ACM SIGMETRICS Performance Evaluation Review
Sojourn time asymptotics in Processor Sharing queues with varying service rate
Queueing Systems: Theory and Applications
Processor sharing: A survey of the mathematical theory
Automation and Remote Control
The Foreground-Background queue: A survey
Performance Evaluation
Demand-aware content distribution on the internet
IEEE/ACM Transactions on Networking (TON)
Dispatching problem with fixed size jobs and processor sharing discipline
Proceedings of the 23rd International Teletraffic Congress
Queueing Systems: Theory and Applications
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We consider the sojourn time V in the M/D/1 processor sharing (PS) queue and show that P(V x) is of the form Ce−&ggr;x as x becomes large. The proof involves a geometric random sum representation of V and a connection with Yule processes, which also enables us to simplify Ott's [21] derivation of the Laplace transform of V. Numerical experiments show that the approximation P(V x) ≈ Ce−&ggr;x is excellent even for moderate values of x.