The Importance of Power-Tail Distributions for Modeling Queueing Systems
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DOI: 10.1287/opre.47.2.313
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Cited by:
- John F. Shortle & Percy H. Brill & Martin J. Fischer & Donald Gross & Denise M. B. Masi, 2004. "An Algorithm to Compute the Waiting Time Distribution for the M/G/1 Queue," INFORMS Journal on Computing, INFORMS, vol. 16(2), pages 152-161, May.
- Carl M. Harris & Percy H. Brill & Martin J. Fischer, 2000. "Internet-Type Queues with Power-Tailed Interarrival Times and Computational Methods for Their Analysis," INFORMS Journal on Computing, INFORMS, vol. 12(4), pages 261-271, November.
- Alan Scheller-Wolf, 2003. "Necessary and Sufficient Conditions for Delay Moments in FIFO Multiserver Queues with an Application Comparing s Slow Servers with One Fast One," Operations Research, INFORMS, vol. 51(5), pages 748-758, October.
- Buddana Amrutha & Kozubowski Tomasz J., 2014. "Discrete Pareto Distributions," Stochastics and Quality Control, De Gruyter, vol. 29(2), pages 143-156, December.
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Keywords
queues; applications; powertail distributions in Markov modeling; queues; limit theorems; heavy load limit for G/M/1 queue; queues; transient results; sample sizes for stable results in powertail systems;All these keywords.
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