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Today this model is changing. Customer equipment has become remarkably intelligent, and many of the functions previously done within the network cloud are now performed at the edge. PBXs, computers, and other devices are now capable of making discriminatory decisions about required service levels, eliminating any need for the massive intelligence embedded in the core. At the same time, the bandwidth is migrating from the core of the network toward the customer as applications evolve to require it. Massive bandwidth still exists within the cloud, but the margins of the cloud are expanding toward the customer. The result of this evolution is a redefinition of the network s regions. Instead of a low-speed, low-intelligence access area and a high-speed, highly intelligent core, the intelligence has migrated outward to the margins of the network and the bandwidth, once exclusively a core resource, is now equally distributed at the edge. Thus, we see something of a core and edge distinction evolving as customer requirements change. One reason for this steady migration is the well-known fact within sales and marketing circles that products sell best when they are located close to the buying customer. They are also easier to customize for individual customers when they are physically closest to the situation for which the customer is buying them. In The Rise of the Stupid Network, David Isenberg makes the following observation:
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The Intelligent Network is a straight-line extension of four assumptions scarcity, voice, circuit switching, and control. Its primary design impetus was not customer service. Rather, the Intelligent Network was a telephone company attempt to engineer vendor independence, more automatic operation, and some intelligent new services into existing network architecture. However, even as it rolls out and matures, the Intelligent Network is being superseded by a Stupid Network, with nothing but dumb transport in the middle, and intelligent user-controlled endpoints, whose design is guided by plenty, not scarcity, where transport is guided by the needs of the data, not the design assumptions of the network.
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Isenberg continues:
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A new network philosophy and architecture is replacing the vision of an Intelligent Network. The vision is one in which the public communications network would be engineered for always-on use, not intermittence and scarcity. It would be engineered for intelligence at the end-user s device, not in the network. And the network would be engineered simply to Deliver the Bits, Stupid, not for fancy network routing or smart number translation.
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Downloaded from Digital Engineering Library @ McGraw-Hill (www.digitalengineeringlibrary.com) Copyright 2004 The McGraw-Hill Companies. All rights reserved. Any use is subject to the Terms of Use as given at the website.
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ATM Technology Overview
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Because ATM plays such a major role in networks today, it is important to develop at least a rudimentary understanding of its functions, architectures, and offered services.
ATM Protocols
Like all modern technologies, ATM has a well-developed protocol stack, shown in Figure 6-6, which clearly delineates the functional breakdown of the service. The stack consists of four layers: the Upper Services layer, the ATM Adaptation layer (AAL), the ATM layer, and the Physical layer. The Upper Services layer defines the nature of the actual services that ATM can provide. It identifies both constant and variable bit rate (VBR) services. Voice is an example of a constant bit rate service, while signaling, IP, and Frame Relay are examples of both connectionless and connection-oriented VBR services. The AAL has four general responsibilities:
Synchronization and recovery from errors Error-detection and correction Segmentation and reassembly of the data stream Multiplexing
Figure 6-6 ATM protocol stack.
Upper Layer Services
Convergence Sublayer ATM Adaption Layer SAR Sublayer
ATM Layer
TC Sublayer Physical Layer PMD Sublayer
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