Heavy-traffic analysis for the GI/G/1 queue with heavy-tailed distributions
Queueing Systems: Theory and Applications
Heavy-traffic limit theorems for the heavy-tailed GI/G/1 queue
Heavy-traffic limit theorems for the heavy-tailed GI/G/1 queue
Waiting Time Asymptotics in the Single Server Queue with Service in Random Order
Queueing Systems: Theory and Applications
Probability: Theory and Examples
Probability: Theory and Examples
The equivalence between processor sharing and service in random order
Operations Research Letters
Heavy traffic analysis of the discriminatory randomorderofservice discipline
ACM SIGMETRICS Performance Evaluation Review - Special Issue on IFIP PERFORMANCE 2011- 29th International Symposium on Computer Performance, Modeling, Measurement and Evaluation
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We consider the GI/GI/1 queue with customers served in random order, and derive the heavy-traffic limit of the waiting-time distribution. Our proof is probabilistic, requires no finite-variance assumptions, and makes the intuition provided by Kingman (Math. Oper. Res. 7 (1982) 262) rigorous.