A heavy-traffic theorem for the GI/G/1 queue with a Pareto-type service time distribution. (1998)
- Record Type:
- Journal Article
- Title:
- A heavy-traffic theorem for the GI/G/1 queue with a Pareto-type service time distribution. (1998)
- Main Title:
- A heavy-traffic theorem for the GI/G/1 queue with a Pareto-type service time distribution
- Authors:
- Cohen, J. W.
- Abstract:
- Abstract : For the G I / G / 1 queueing model with traffic load a < 1, service time distribution B ( t ) and interarrival time distribution A ( t ), whenever for t → ∞ 1 − B ( t ) ∼ c ( t / β ) ν + O ( e − δ t ), c > 0, 1 < ν < 2, δ > 0, and ∫ 0 ∞ t μ d A ( t ) < ∞ for μ > ν, ( 1 − a ) 1 ν − 1 w converges in distribution for a ↑ 1 . Here w is distributed as the stationary waiting time distribution. The L.-S. transform of the limiting distribution is derived and an asymptotic series for its tail probabilities is obtained. The theorem actually proved in the text concerns a slightly more general asymptotic behavior of 1 − B ( t ), t → ∞, than mentioned above.
- Is Part Of:
- Journal of applied mathematics and stochastic analysis. Volume 11:Number 3(1998)
- Journal:
- Journal of applied mathematics and stochastic analysis
- Issue:
- Volume 11:Number 3(1998)
- Issue Display:
- Volume 11, Issue 3 (1998)
- Year:
- 1998
- Volume:
- 11
- Issue:
- 3
- Issue Sort Value:
- 1998-0011-0003-0000
- Page Start:
- 247
- Page End:
- 254
- Publication Date:
- 1998
- Subjects:
- GI/G/1 model -- Pareto-type service time distribution -- heavy-traffic theorem -- tail asymptotics
Mathematical models -- Periodicals
Computer simulation -- Periodicals
Computer science -- Mathematics -- Periodicals
Computer science -- Mathematics
Computer simulation
Mathematical models
Applied Mathematics
Periodicals
Electronic journals
519.22 - Journal URLs:
- http://www.hindawi.com/journals/ijsa/ ↗
- DOI:
- 10.1155/S1048953398000215 ↗
- Languages:
- English
- ISSNs:
- 1048-9533
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
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- British Library HMNTS - ELD Digital store
- Ingest File:
- 15808.xml