Pages that link to "Item:Q3784949"
From MaRDI portal
The following pages link to A Sample Performance Function of Closed Jackson Queueing Networks (Q3784949):
Displaying 18 items.
- First and second derivative estimators for closed Jackson-like queueing networks using perturbation analysis techniques (Q679026) (← links)
- Smoothed perturbation analysis for queues with finite buffers (Q688647) (← links)
- Consistency of infinitesimal perturbation analysis for the GI/G/m queue (Q808561) (← links)
- Sample path and performance homogeneity of discrete event dynamic systems (Q912498) (← links)
- The convergence property of sample derivatives in closed Jackson queueing networks (Q1124221) (← links)
- Strong consistency of infinitesimal perturbation analysis for tandem queueing networks (Q1180361) (← links)
- A new method of performance sensitivity analysis for non-Markovian queueing networks (Q1183673) (← links)
- Full-state perturbation analysis of discrete event dynamic systems (Q1186496) (← links)
- Augmented infinitesimal perturbation analysis: An alternate explanation (Q1201752) (← links)
- Smoothed perturbation analysis algorithms for estimating the derivatives of occupancy-related functions in serial queueing networks (Q1207849) (← links)
- Performance sensitivity analysis of open Markovian queueing networks (Q1333501) (← links)
- Smoothed perturbation analysis derivative estimation for Markov chains (Q1342270) (← links)
- Analysing sojourn times in queueing networks: A structural approach. (Q1403167) (← links)
- An operational approach to perturbation analysis of closed queuing networks (Q1819695) (← links)
- Obtaining sample path derivatives by source code instrumentation (Q2563758) (← links)
- A simple performability estimate for Jackson networks with an unreliable output channel (Q2808293) (← links)
- Approximation Algorithm and Perfect Sampler for Closed Jackson Networks with Single Servers (Q3395041) (← links)
- Realization probability and throughput sensitivity in a closed jackson network (Q3469996) (← links)