Asymptotic analysis of a state-dependent M/G/1 queueing system
SIAM Journal on Applied Mathematics
Probability, statistics, and queueing theory with computer science applications
Probability, statistics, and queueing theory with computer science applications
On the Solution of a Nonlinear Matrix Equation arising in Queueing Problems
SIAM Journal on Matrix Analysis and Applications
Exact aggregate solutions for M/G/1-type Markov processes
SIGMETRICS '02 Proceedings of the 2002 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
M/G/1-Type Markov Processes: A Tutorial
Performance Evaluation of Complex Systems: Techniques and Tools, Performance 2002, Tutorial Lectures
Systems and Computers in Japan
Bridging ETAQA and Ramaswami's formula for the solution of M/G/1-type processes
Performance Evaluation - Performance 2005
Numerical Methods for Structured Markov Chains (Numerical Mathematics and Scientific Computation)
Numerical Methods for Structured Markov Chains (Numerical Mathematics and Scientific Computation)
Using Markov Models to Assess the Performance of a Health and Community Care System
CBMS '06 Proceedings of the 19th IEEE Symposium on Computer-Based Medical Systems
Structured Markov chains solver: algorithms
SMCtools '06 Proceeding from the 2006 workshop on Tools for solving structured Markov chains
Structured Markov chains solver: software tools
SMCtools '06 Proceeding from the 2006 workshop on Tools for solving structured Markov chains
A Note on the Effects of Service Time Distribution in the M/G/1 Queue
Proceedings of the 2009 SPEC Benchmark Workshop on Computer Performance Evaluation and Benchmarking
Preliminary Results on a Simple Approach to G/G/c-Like Queues
ASMTA '09 Proceedings of the 16th International Conference on Analytical and Stochastic Modeling Techniques and Applications
Higher-order distributional properties in closed queueing networks
Performance Evaluation
High-level approach to modeling of observed system behavior
Performance Evaluation
An approximate solution for Ph/Ph/1 and Ph/Ph/1/N queues
ICPE '12 Proceedings of the 3rd ACM/SPEC International Conference on Performance Engineering
Hi-index | 0.00 |
Following up on a recently renewed interest in computational methods for M/G/1-type processes, this paper considers an M/G/1-like system in which the service time distribution is represented by a Coxian series of memoryless stages. We present a novel approach to the solution of such systems. Our method is based on conditional probabilities, and provides a simple, computationally efficient and stable approach to the evaluation of the steady-state queue length distribution. We provide a proof of the numerical stability of our method. Without explicit use of matrix-geometric techniques or stochastic complementation, we are able to handle systems with state-dependent service and arrival rates. The proposed approach can be used to compute the queue length distribution for both finite and infinite M/G/1-like queues. In the case of an infinite, state-independent queue, our method allows us to show using elementary tools that the queue length distribution is asymptotically geometric. The parameter of the asymptotic geometric can be expressed through a simple set of equations, easily solved using fixed point iteration. Our approach is very thrifty in terms of memory requirements, easy to implement, and generally fast. Numerical examples illustrate the performance of the proposed method.