Estimating effective capacity in Erlang loss systems under competition
DOI10.1007/s11134-004-5554-8zbMath1084.62082OpenAlexW2080341044MaRDI QIDQ1766088
Andrew M. Ross, J. George Shanthikumar
Publication date: 28 February 2005
Published in: Queueing Systems (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11134-004-5554-8
Applications of statistics in engineering and industry; control charts (62P30) Markov processes: estimation; hidden Markov models (62M05) Communication networks in operations research (90B18) Queueing theory (aspects of probability theory) (60K25) Performance evaluation, queueing, and scheduling in the context of computer systems (68M20)
Related Items (1)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Some consequences of estimating parameters for the M/M/1 queue
- NPPMLE and NPPSIM: Software for estimating and simulating nonhomogeneous Poisson processes having cyclic behavior
- An analysis of the modified offered-load approximation for the nonstationary Erlang loss model
- Derivatives of the matrix exponential and their computation
- Some Effects of Nonstationarity on Multiserver Markovian Queueing Systems
- The Pointwise Stationary Approximation for Mt/Mt/s Queues Is Asymptotically Correct As the Rates Increase
- The Queue Inference Engine: Deducing Queue Statistics from Transactional Data
- Improving the Sipp Approach for Staffing Service Systems That Have Cyclic Demands
- Exploiting Markov chains to infer queue length from transactional data
- On the numerical evaluation of some basic traffic formulae
- Nineteen Dubious Ways to Compute the Exponential of a Matrix
- Expokit
- Stationary-Process Approximations for the Nonstationary Erlang Loss Model
- Calculating transient characteristics of the erlang loss model by numerical transform inversion
- Some Properties of the Erlang Loss Function
- Sensitivity to the Service-Time Distribution in the Nonstationary Erlang Loss Model
This page was built for publication: Estimating effective capacity in Erlang loss systems under competition