In this paper we use Generalized Stochastic Petri Nets (GSPNs) for the performance analysis of Asynchronous Transfer Mode (ATM) Local Area Networks (LANs) that adopt a peculiar version of the Available Bit Rate (ABR) service category, called Stop and Go ABR. This is a simplified ABR algorithm designed for the provision of best-effort services in low cost ATM LANs, according to which sources can transmit only at two different cell rates, the Peak Cell Rate (PCR) and Minimum Cell Rate (MCR). Results obtained from the solution of GSPN models of simple ATM LAN setups comprising Stop and Go ABR as well as UBR (Unspecified bit rate) users are first validated through detailed simulations, and then used to show that Stop and Go ABR is capable of providing good performance and fairness in a number of different LAN configurations

Stop & go ABR in ATM LANs: Performance analysis with GSPNs

GAETA, Rossano;
1998-01-01

Abstract

In this paper we use Generalized Stochastic Petri Nets (GSPNs) for the performance analysis of Asynchronous Transfer Mode (ATM) Local Area Networks (LANs) that adopt a peculiar version of the Available Bit Rate (ABR) service category, called Stop and Go ABR. This is a simplified ABR algorithm designed for the provision of best-effort services in low cost ATM LANs, according to which sources can transmit only at two different cell rates, the Peak Cell Rate (PCR) and Minimum Cell Rate (MCR). Results obtained from the solution of GSPN models of simple ATM LAN setups comprising Stop and Go ABR as well as UBR (Unspecified bit rate) users are first validated through detailed simulations, and then used to show that Stop and Go ABR is capable of providing good performance and fairness in a number of different LAN configurations
1998
3rd IEEE International Computer Performance and Dependability Symposium (IPDS)
Durham, NC, USA
7-9, September, 1998
Proceedings of the 3rd IEEE International Computer Performance and Dependability Symposium (IPDS)
IEEE Computer Society Press
64
75
0818686790
R. GAETA; BEGAIN K.; AJMONE MARSAN M.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/115097
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