Performance Analysis of Multibuffered Packet-Switching Networks in Multiprocessor Systems
IEEE Transactions on Computers
Survey of ATM switch architectures
Computer Networks and ISDN Systems
Multicast ATM switches: survey and performance evaluation
ACM SIGCOMM Computer Communication Review
Modeling the Communication Performance of the IBM SP2
IPPS '96 Proceedings of the 10th International Parallel Processing Symposium
Multicasting in Buffered Multistage Interconnection Networks: An Analytical Algorithm
Proceedings of the 12th European Simulation Multiconference on Simulation - Past, Present and Future
Performance Evaluation using Measure Dependent Transitions in Petri Nets
MASCOTS '97 Proceedings of the 5th International Workshop on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems
An analytical model for the performance of buffered multicast banyan networks
Computer Communications
Comparative study of blocking mechanisms for packet switched Omega networks
EHAC'07 Proceedings of the 6th WSEAS International Conference on Electronics, Hardware, Wireless and Optical Communications
Comparative study of blocking mechanisms for packet switched Omega networks
EHAC'07 Proceedings of the 6th WSEAS International Conference on Electronics, Hardware, Wireless and Optical Communications
SPECTS'09 Proceedings of the 12th international conference on Symposium on Performance Evaluation of Computer & Telecommunication Systems
Journal of Computer Systems, Networks, and Communications
International Journal of Network Management
Review: Performance estimation of banyan semi layer networks with drop resolution mechanism
Journal of Network and Computer Applications
Future Generation Computer Systems
Journal of Network and Computer Applications
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Multistage interconnection networks (Banyan networks) are frequently proposed as connections in multiprocessor systems, in ATM switches, or in Gigabit Ethernet switches. There exist several analytical models for evaluating the performance of such networks. Analytical models are much faster for this purpose than simulation. On the other hand, the development of an analytical model is very time-consuming. In this paper, we present a method for the automatic and fast generation of an analytical network model. The generated analysis handles networks of arbitrary size, arbitrary switching element sizes, arbitrary buffer lengths in each network stage, an arbitrary (but uniform) traffic pattern, and an arbitrarily chosen network load. The arbitrary traffic patterns include multicast traffic, which has not been considered by former models.