ACM Transactions on Programming Languages and Systems (TOPLAS)
Time warp simulation using time scale decomposition
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Packet network simulation: speedup and accuracy versus timing granularity
IEEE/ACM Transactions on Networking (TON)
Importance sampling for large ATM-type queueing networks
WSC '96 Proceedings of the 28th conference on Winter simulation
The RESTART/LRE method for rare event simulation
WSC '96 Proceedings of the 28th conference on Winter simulation
WSC '96 Proceedings of the 28th conference on Winter simulation
Families of models that cross levels of resolution: issues for design, calibration and management
WSC '93 Proceedings of the 25th conference on Winter simulation
Consistency maintenance in multiresolution simulation
ACM Transactions on Modeling and Computer Simulation (TOMACS)
MRE: a flexible approach to multi-resolution modeling
Proceedings of the eleventh workshop on Parallel and distributed simulation
Efficient large-scale process-oriented parallel simulations
Proceedings of the 30th conference on Winter simulation
Unsynchronized parallel discrete event simulation
Proceedings of the 30th conference on Winter simulation
Web-based network analysis and design
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Time, clocks, and the ordering of events in a distributed system
Communications of the ACM
Hybrid simulation models of computer systems
Communications of the ACM
A hybrid technique for accelerated simulation of ATM networks and network elements
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Dynamic component substitution in web-based simulation
Proceedings of the 32nd conference on Winter simulation
Discrete Mathematical Structures with Applications to Computer Science
Discrete Mathematical Structures with Applications to Computer Science
Process combination to increase event granularity in parallel logic simulation
IPPS '95 Proceedings of the 9th International Symposium on Parallel Processing
Optimizing Costs of Web-based Modeling and Simulation
IPDPS '01 Proceedings of the 15th International Parallel & Distributed Processing Symposium
Enabling Large-Scale Simulation: Selective Abstraction Approach to the Study of Multicast Protocol
MASCOTS '98 Proceedings of the 6th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems
Convergence Technologies for 3G Networks: IP, UMTS,EGPRS and ATM
Convergence Technologies for 3G Networks: IP, UMTS,EGPRS and ATM
Performance Analysis of a VoIP Access Architecture
ICPPW '04 Proceedings of the 2004 International Conference on Parallel Processing Workshops
Web-based simulation 2: performance prediction of dynamic component substitutions
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Connection-oriented Networks: SONET/SDH, ATM, MPLS and Optical Networks
Connection-oriented Networks: SONET/SDH, ATM, MPLS and Optical Networks
Accelerating Spatially Explicit Simulations of Spread of Lyme Disease
ANSS '05 Proceedings of the 38th annual Symposium on Simulation
Predicting Performance of Resolution Changes in Parallel Simulations
Proceedings of the 20th Workshop on Principles of Advanced and Distributed Simulation
Application of rare event techniques to trace driven simulation
WSC '05 Proceedings of the 37th conference on Winter simulation
Parallel simulation techniques for large-scale networks
IEEE Communications Magazine
| Hi-index | 0.00 |
The steady growth in the multifaceted use of broadband asynchronous transfer mode (ATM) networks for time-critical applications has significantly increased the demands on the quality of service (QoS) provided by the networks. Satisfying these demands requires the networks to be carefully engineered based on inferences drawn from detailed analysis of various scenarios. Analysis of networks is often performed through computer-based simulations. Simulation-based analysis of the networks, including nonquiescent or rare conditions, must be conducted using high-fidelity, high-resolution models that reflect the size and complexity of the network to ensure that crucial scalability issues do not dominate. However, such simulations are time-consuming because significant time is spent in driving the models to the desired scenarios. In an endeavor to address the issues associated with the aforementioned bottleneck, this article proposes a novel, multiresolution modeling-based methodology called dynamic component substitution (DCS). DCS is used to dynamically (i.e., during simulation) change the resolution of the model, which enables more optimal trade-offs between different parameters such as observability, fidelity, and simulation overheads, thereby reducing the total time for simulation.The article presents the issues involved in applying DCS in parallel simulations of ATM networks. An empirical evaluation of the proposed approach is also presented.The experiments indicate that DCS can significantly accelerate the simulation of ATM networks without affecting the overall accuracy of the simulation results.