Due to increased complexity and extreme quality of service requirements, traditional means for performance evaluation of telecom networks do not always suffice. The most flexible approach has been, and still is, simulation, which is the main focus of this paper. However, severe problems regarding efficiency exist, e.g. evaluation of ATM cell loss rate in range of
|
694
|
Virtual time
– Jefferson
- 1985
|
|
319
|
Stochastic theory of a data-handling system with multiple sources
– Anick, Mitra, et al.
- 1982
|
|
149
|
Large Deviation Techniques in Decision, Simulation, and Estimation
– Bucklew
- 1990
|
|
107
|
Computer Performance Modeling Handbook
– Lavenberg, editor
- 1983
|
|
89
|
An introduction to stochastic modeling
– Taylor, Karlin
- 1998
|
|
51
|
A Unified Framework for Simulating Markovian Models of Highly Dependable Systems
– Goyal, Shahabuddin, et al.
- 1992
|
|
33
|
Statistical optimization of dynamic importance sampling parameters for efficient simulation of communication networks
– Devetsikiotis, Townsend
- 1993
|
|
31
|
RESTART: A method for accelerating rare event simulation
– Villén-Altamirano, Villén-Altamirano
- 1991
|
|
25
|
distance based simulation of repairable fault-tolerant systems
– Carrasco
- 1991
|
|
21
|
Quick simulation of excessive backlogs in networks of queues
– Parekh, Walrand
- 1989
|
|
21
|
Methods for statistical analysis of reliability and life data
– Mann, Schafer, et al.
- 1974
|
|
19
|
Simulation Methodology for Statisticians, Operation Analysts and Engineers, volume I
– Lewis, Orav
- 1988
|
|
19
|
Fast simulation of dependability models with general failure, repair and maintenance processes
– Nicola, Nakayama, et al.
- 1990
|
|
18
|
Parallel independent replicated simulation on a network of workstations
– Lin
- 1994
|
|
16
|
Efficient techniques for the simulation of computer communications networks
– Frost, Larue, et al.
- 1988
|
|
15
|
Monte Carlo Simulation of Computer System Availability/Reliability Models
– Conway, Goyal
- 1987
|
|
12
|
Computer-aided modeling, analysis, and design of communication networks
– Kurose, Mouftah
- 1988
|
|
12
|
Ultrahigh Reliability Estimates Through Simulation
– Geist, Smotherman
- 1989
|
|
10
|
Rare event simulation: a modified RESTART-method using the LRE-algorithm
– Schreiber, Görg
- 1994
|
|
9
|
A technique for measuring rare cell losses in ATM systems
– Helvik, Heegaard
|
|
9
|
Efficient estimation of cell blocking probability for ATM systems
– Wang, Frost
- 1993
|
|
8
|
Time warp simulation using time scale decomposition
– Ammar, Deng
- 1991
|
|
8
|
Queueing Systems, Theory, volume I
– Kleinrock
- 1975
|
|
6
|
The synthesized traffic generator; objectives, design and capabilities
– Helvik, Melteig, et al.
- 1993
|
|
6
|
Simulation and the Monte-Carlo method
– Rubinstein
- 1981
|
|
5
|
End-to-end traffic in ATM networks; network chain simulator
– Stol, Helvik
- 1991
|
|
4
|
A model for real-time generation of ATM traffic from a large number of sources
– Helvik
- 1990
|
|
4
|
Private communication
– Østerbø, Hemmer
- 1993
|
|
3
|
Fast parallel simulation of SS7 in telecommunication networks
– Kalantery, Redfern, et al.
- 1993
|
|
3
|
Parallel time-driven simulation of a network using a shared memory MIMD computer
– Lubachevsky, Ramakrishnan
- 1985
|
|
3
|
RESTART: A method for accelerating rare event simulation
– Villn-Altamirano, Villn-Altamirano
- 1991
|
|
3
|
A review of quick simulation methods for queues
– Kesidis, Walrand
|
|
3
|
Provoking and measuring cell losses in ATM systems by importance sampling, control variables and load cycles
– Heegaard, Helvik
- 1993
|
|
3
|
et al. “Enhencement of the accelerated simulation method RESTART by considering multiple thresholds
– Villén-Altamirano
|
|
3
|
A Technique for Measuring Rare Cell Losses
– Helvik, Heegaard
|
|
2
|
Vulnerability Exposed in AT&T's 9-Hour Glitch
– Fitzgerald
- 1989
|
|
2
|
Plans for a broadband laboratory at Norwegian Telecom Research
– Ormhaug
- 1991
|
|
2
|
Parallel simulation of markovian queuing networks
– Heidelberger, Nicol
- 1994
|
|
2
|
A technique for measuring cell losses in ATM systems combining control variables and importance sampling
– Heegaard, Helvik
- 1992
|
|
2
|
et al. "Enhencement of the accelerated simulation method RESTART by considering multiple thresholds
– Villn-Altamirano
|
|
2
|
Transition splitting for estimation of rare events with application to high speed data networks
– Gavioronski
|
|
2
|
Technology for measurement of rare events in ATM systems
– Helvik
- 1991
|
|
2
|
Technology for measurement of rare events
– Helvik
- 1991
|
|
1
|
Simulation of systems with time between events on extremely different time scales - An example
– Stol, Helvik
|
|
1
|
Simulator enhancements
– Stol, Helvik
- 1994
|
|
1
|
DEMOS: A system for Discrete Event Simulation on Simula
– Birtwistle
- 1979
|
|
1
|
Expansion of the DEMOS-package with facilities for replications.” Memorandum
– Sol, Ijeplaar
|
|
1
|
Importance sampling simulation studies on the discrete appear in Telektronikk 2-1995, Specail issue on teletraffic time nD/D/1 queue
– Norros, Virtamo
|
|
1
|
Vulnerability exposed in AT&T’s 9-hour glitch.” The Institute
– Fitzgerald
- 1990
|