With the continuing success of Local Area Networks (IANs), there is an increasing demand to extend their capabilities towards higher data rates and wider areas. This, together with the progress in fiber-optic technology, has given rise to the so-called Metropolitan Area Networks (MANs). MANs can span much greater distances than current LAN s, and offer data rates on the order of hundreds of Megabits/sec (Mbps). The success of MANs is mainly due to the opportunity they provide to develop new networking products capable of providing high-speed commu­ nications between applications at competitive prices, which nonetheless give an adequate return on the manufacturers' investments. A major factor in of appropriate networking standards. achieving this goal is the availability Fiber Distributed Data Interface (FDDl) and Distributed Queue Dual Bus (DQDB) are the two standard technologies for MANs for which industrial products are already available. For this reason, this book focuses mainly on these two standards. Nowadays there are several books dealing with MANs, and these look mainly at FDDI (e.g., [2], [92], [118], [141]). These books focus primarily on the architectures and protocols, whereas they pay little attention to per­ formance analysis. Due to the capability of MANs to integrate services, a quantitative analysis of the Quality of Service (QoS) provided by these tech­ nologies is a relevant issue, and is thus covered in depth in this book.

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1 Introduction.- 1.1 Capacity.- 1.2 From LANs to MANs.- 1.3 Fairness.- 1.4 User-oriented Performance Figures.- 1.5 Modeling of a MAN Environment.- 1.6 Outline of Contents.- 2 Stochastic Processes for Modeling Metropolitan Area Networks: Basic Results.- 2.1 Queueing Models for MAN Modeling.- 2.2 System Properties.- 2.3 Some Results on Renewal and Regenerative Processes.- 2.4 Work Conservation Laws.- 2.5 Stochastic Decomposition Laws.- 2.6 Pseudo-conservation Laws.- 3 Methods for the Analysis of Node-In-Isolation Models.- 3.1 M/G/l Systems.- 3.2 M/G/l Systems with Vacation.- 3.3 M/G/l-type Models.- 3.4 Application of Node-in-isolation Models: Worst-case Analysis.- 4 Methods for the Analysis of Network-Wide Models: Polling Models.- 4.1 From Pseudo-conservation Laws to Waiting Time Analysis.- 4.2 Numerical Methods.- 4.3 For Further Study.- 5 Fiber-Distributed Data Interface (FDDI).- 5.1 Introduction.- 5.2 FDDI Layers and Services.- 5.3 MAC Protocol.- 5.4 FDDI MAC Protocol Capacity.- 5.5 FDDI Cycle Properties.- 5.6 Remarks on the IEEE 802.4 Token Bus Protocol.- 5.7 Current Use of FDDI.- 6 FDDI Models.- 6.1 Introduction.- 6.2 Network-wide Models.- 6.3 Station-in-isolation Models.- 6.3.1 M/G/l with Vacation and Exhaustive Limited with Limit Variation Service Discipline (Model 5).- 6.4 Model 4: Details of the Computation.- 7 Distributed Queue Dual Bus (DQDB).- 7.1 Functional Architecture of a Node.- 7.2 Connectionless Data Service.- 7.3 DQDB Performance and Fairness.- 7.4 The Bandwidth Balancing Mechanism.- 7.5 DQDB MAC Protocol Capacity.- 7.6 Current Use of DQDB.- 8 DQDB Models.- 8.1 Introduction.- 8.2 Network-wide Models.- 8.3 Node-in-isolation Models.- 9 Evolution Towards Gigabit Rates.- 9.1 Shared Medium Gigabit Networks.- 9.2 ATM-based Gigabit Networks.- Acronyms.- Glossary of Notation.