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the traffic that is being compressed to be consistent and predictable, when internetwork traffic tends to be neither Cisco s data compression methods, STAC and Predictor, are based on the dictionary style of compression These methods rely on the two communicating devices sharing a common dictionary that maps special codes to actual traffic patterns STAC is based on the Lempel-Ziv algorithm that identifies commonly transmitted sequences and replaces those sequences in the data stream with a smaller code This code is then recognized at the receiving end, extracted from the data stream, and the original sequence inserted in the data stream In this manner, less data is sent over the WAN link even as transmission of the same raw data is permitted Predictor tries to predict the next sequence of characters, based upon a statistical analysis of what was transmitted previously My experience has led me to use the STAC algorithm, which, although it is more CPU-intensive than Predictor, requires less memory to operate No matter which method you choose, you can expect an increase in latency Compression algorithms delay the passage of data through an internetwork While typically this is not very significant, some client/server applications that are sensitive to timing issues may be disrupted by the operation of data compression algorithms One of the great marketing hypes of the networking world has been the advertisement of impressive compression rates from vendors offering data compression technology To its credit, Cisco has always advertised the limitations of compression technology as well as its potential benefits First of all, there is no such thing as a definitive value for the compression rate you will get on your internetwork Compression rates are totally dependent on the type of traffic being transmitted If your traffic is mainly ASCII text with 70 to 80 percent data redundancy, you may get a compression ratio near 4:1 A typical target for internetworks that carry a mix of traffic is more realistically 2:1 When you implement data compression, you must keep a close eye on the processor and memory utilization The commands to monitor these statistics are show proc and show proc mem, respectively Implementing Data Compression The first data compression technique to which most people are introduced is header compression, as implemented by the Van Jacobson algorithm This type of compression can deliver benefits when the traffic transported consists of many small packets, such as Telnet traffic The processing requirements for this type of compression are high, and it is therefore rarely implemented on links with greater throughput than 64 kbps The most popular implementation of Van Jacobson header compression is for asynchronous links, where it is implemented on a per-interface basis Many popular PC PPP stacks that drive asynchronous communication implement this type of header compression as default The following enables Van Jacobson header compression on interface Async 1, where the passive keyword suppresses compression until a compressed header has been received from the computer connecting to this port Router1(config)#interface async 1 Router1(config-int)#ip tcp header-compression passive.

Frequency modulation holds many benefits over amplitude modulation: superior noise immunity, helped by amplitude limiting to eliminate AM noise; a decrease in high-frequency noise constituents, due to preemphasis circuits, which boost the higher frequencies at the transmitter, and deemphasis circuits, which attenuate the now overemphasized frequencies at the receiver; FM s capture effect, which forces any undesired signal that is near, or at the same, frequency as the desired signal to be rejected And, since FM does not have a delicate modulation envelope, as does AM, it does not require Class A linear amplifiers, but instead can utilize the far more efficient Class C types in both its RF and IF sections Also, transmitter efficiency in FM is quite high, since the transmitter itself can be modulated by low-level techniques, needing little baseband modulation power Frequency modulation does have its drawbacks: Increased bandwidth is necessary because of the additional sideband production over AM; the FM transmitter and receiver are more expensive to design and construct because of their higher frequencies of operation, along with higher stability requirements; bouncing the FM signal off the atmosphere s ionosphere creates distortion of the FM wave, so it s normally (unless repeaters are used) a line-of-sight communications medium A reprise of some of the more important FM terms: Center frequency, sometimes referred to as the rest frequency, is the FM transmitter s carrier frequency with zero percent modulation Frequency deviation is the amount the RF carrier shifts from its center frequency in a single direction when modulated Frequency swing is the movement of the modulated carrier on both sides of the center frequency, or twice the frequency deviation Modulation index, which is employed when one tone, at a steady deviation, is transmitted, is the ratio of the carrier s instantaneous frequency deviation to the instantaneous frequency of the modulation Deviation ratio is the ratio between the maximum frequency deviation with 100 percent modulation to the maximum audio modulation frequency 23 Single-Sideband Modulation.

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As a result of the highly stable oscillators and phase-locked loops available today, along with advances in mass production and RF integrated circuits,

Clearly, Van Jacobson header compression works only for IP traffic Better overall compression ratios can be achieved by compressing the whole data stream coming out of an interface by using

Downloaded from Digital Engineering Library @ McGraw-Hill (wwwdigitalengineeringlibrarycom) 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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