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Heavy Tails: The Effect of the Service Discipline., , and . Computer Performance Evaluation / TOOLS, volume 2324 of Lecture Notes in Computer Science, page 1-30. Springer, (2002)Flow-Level Capacity and Performance in HetNets., , , , and . VTC Spring, page 1-6. IEEE, (2015)Polling Models With and Without Switchover Times., and . Operations Research, 45 (4): 536-543 (1997)Scalable Load Balancing in Networked Systems: Universality Properties and Stochastic Coupling Methods., , , and . CoRR, (2017)Scalable load balancing in networked systems: A survey of recent advances., , , and . CoRR, (2018)Queue-Based Random-Access Algorithms: Fluid Limits and Stability Issues, , and . CoRR, (2013)Dimensioning Large Call Centers., , and . Operations Research, 52 (1): 17-34 (2004)Universality of Power-of-d Load Balancing Schemes., , , and . SIGMETRICS Perform. Evaluation Rev., 44 (2): 36-38 (2016)Performance of TCP-friendly streaming sessions in the presence of heavy-tailed elastic flows., , and . Perform. Evaluation, 61 (2-3): 143-162 (2005)Markovian polling systems with an application to wireless random-access networks., , , and . Perform. Evaluation, (2015)