A Simulation Methodology to Study Input Buffering in ATM Switches

Abstract

This paper presents a performance study of input buffering in Asynchronous Transfer Mode switches. The main performance metrics are average cell waiting time and output port contention under a variety of load conditions and operating environments. Results show that as the percent utilization increases, the average cell wait time increases. Analysis of output port contention shows that it increases with the increase in utilization, and the number of conflicts increases with both the utilization and the input queues. The results are presented in a series of curves that present the number of cells delivered during output conflicts versus percent utilization. The software developed offers several benefits: it provides a flexible approach to investigate performance of input queueing under a variety of conditions. The simulation duration, interarrival distribution, number of input queues and maximum queue size can all be varied simply by editing the initialization file; no recompiling of source code is required. It allows for modification and extensibility with only minor software changes. It does not contain operating-specific function calls; thus, it can be used without changes on standard DOS-based PCs or UNIX-based systems.

Introduction to the Special Issue: ATM Systems and Networks: Basics, Issues, and Performance Modeling and Simulation

“…ATM technology has several main categories of issues that are related to network management, traffic and congestion control and shaping, admission control, QoS management, wireless ATM systems, ATM switching schemes, modeling and simulation schemes and packages, among others [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19].…”

Modeling and Simulation of Adaptive Available Bit Rate Voice over Asynchronous Transfer Mode Networks

“…Each service type is assigned based on the users' requirements and the nature of the application to be served. If the application is more stringent to loss and delay, the network will provide more guarantees about the quality that will be delivered, which means higher cost, in terms of bandwidth from the operator's point of view and in terms of expense from the customer's point of view [1][2][3][4].…”