Large deviations for stochastic fluid networks with Weibullian tails
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Publication:2095026
DOI10.1007/s11134-022-09865-5OpenAlexW4297425193MaRDI QIDQ2095026
Mihail Bazhba, Bert Zwart, Chang-Han Rhee
Publication date: 9 November 2022
Published in: Queueing Systems (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2202.12770
Cites Work
- On large deviation principles in metric spaces
- Asymptotics of subexponential max plus networks: the stochastic event graph case
- A note on the complexity of \(L _{p }\) minimization
- Asymptotic analysis of Lévy-driven tandem queues
- Large deviations techniques and applications.
- Customer sojourn time in \(GI/GI/1\) feedback queue in the presence of heavy tails
- Moments and tails in monotone-separable stochastic networks.
- Exact asymptotics for fluid queues fed by multiple heavy-tailed on-off flows.
- Stability and nonproduct form of stochastic fluid networks with Lévy inputs
- Light tail asymptotics in multidimensional reflecting processes for queueing networks
- Sample path large deviations for Lévy processes and random walks with Weibull increments
- Queue length asymptotics for the multiple-server queue with heavy-tailed Weibull service times
- Heavy tails in multi-server queue
- Stochastic-Process Limits
- On Large Delays in Multi-Server Queues with Heavy Tails
- Cyclic Queueing Networks With Subexponential Service Times and Finite Buffers
- Efficient Rare-Event Simulation for Multiple Jump Events in Regularly Varying Random Walks and Compound Poisson Processes
- Two-node fluid network with a heavy-tailed random input: the strong stability case
- Convex Analysis
- Tails in generalized Jackson networks with subexponential service-time distributions
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