Performance Analysis of an M/G/1 Retrial Queueing System Under LCFS-PR Discipline with General Retrial and Setup Times
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Publication:5126569
DOI10.1007/978-3-319-97595-5_26zbMath1452.60060OpenAlexW2885648252MaRDI QIDQ5126569
B. Krishna Kumar, Rathinam Sankar, Ramasamy Rukmani
Publication date: 20 October 2020
Published in: Information Technologies and Mathematical Modelling. Queueing Theory and Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/978-3-319-97595-5_26
Queueing theory (aspects of probability theory) (60K25) Queues and service in operations research (90B22)
Cites Work
- Unnamed Item
- A single server retrial queue with Bernoulli feedback and collisions
- Accessible bibliography on retrial queues: progress in 2000-2009
- On a numerical method for calculating stationary characteristics of the switching node with retrial transmissions
- A survey of retrial queues
- \(M^{[x}/(G_{1}, G_{2})/1\) retrial queue under Bernoulli vacation schedules with general repeated attempts and starting failures]
- A finite-capacity queue with exhaustive vacation/close-down/setup times and Markovian arrival processes
- An \(M/M/1\) retrial queue with control policy and general retrial times
- A single-server retrial queue with general retrial times and Bernoulli schedule
- Energy-performance trade-off for processor sharing queues with setup delay
- Performance and reliability analysis of an \(M/G/1-G\) retrial queue with orbital search and non-persistent customers
- Adiabatic Filon-type methods for highly oscillatory second-order ordinary differential equations
- Technical Note—Mean Drifts and the Non-Ergodicity of Markov Chains
- Retrial Queueing Systems
- Poisson Arrivals See Time Averages
- Stochastic analysis of a single server retrial queue with general retrial times
- A COMPOSITE QUEUE WITH VACATION/SET-UP/CLOSE-DOWN TIMES FOR SVCC IN IP OVER ATM NETWORKS
- Introduction to Queueing
- Retrial Queues
- Some Conditions for Ergodicity and Recurrence of Markov Chains