Chapter 1: Introduction
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Transcript Chapter 1: Introduction
Chapter 1: Introduction
Business Data Communications, 4e
Information & Communication
Generation and transfer of information is
critical to today’s businesses
Flow of information both mirror and shape
organizational structures
Networks are the enabling technology for this
process
The “Manager’s Dilemma”
Technology is necessary for competitiveness
Cost of technology has decreased
Reliance on technology has increased
Number of choices have increased
Choices are both more difficult and more
important
Business Information
Requirements
Voice
Data
Image
Video
Distributed Data Processing
Centralized processing
Distributed processing
Hybrid systems
Transmission of Information
Transmission and transmission media
e.g. twisted pair, fiber, wireless, coax
Communication Techniques
encoding, interface, protocols
Transmission efficiency
multiplexing, compression
Networks
Wide Area Networks
Local Area Networks
Wireless Networks
Communications Software
TCP/IP
Distributed Applications
Client/Server Architectures & Intranets
Management Issues
Doing Business on the Internet
Network Management
Network Security
Communications Standards
Importance
Process
Organizations
Resources
Web Sites
Usenet Newsgroups
Journals
Business-oriented
Technical
Telecommunication
Uses electricity to transmit messages
Speed of electricity dramatically extends
reach
Sound waves: ~670 mph
Electricity: ~186,000 (speed of light)
Bandwidth= information-carrying capacity of
a channel
Data Communication
Adding storage overcomes time constraints
Store-and-forward communication
E-mail, voice mail, facsimile, file transfer,
WWW
Analog Data
Continuous signal
Expressed as an oscillation (sine wave
format) of frequency
Example: Analog electrical signal generated
by a microphone in response to continous
changes in air pressure that make up sounds
Basic Analog Terms
Wave frequency: Number of times a cycle
occurs in given time period
Wave amplitude: Height of a wave cycle
Hertz: The number of times a wave cycle
occurs in one second (commonly used
measure of frequency)
amplitude (volts)
Analog Signaling
1 cycle
represented
by sine waves
phase
difference
time
(sec)
frequency (hertz)
= cycles per second
Digital Data
Represented as a sequence of discrete
symbols from a finite “alphabet” of text
and/or digits
Rate and capacity of a digital channel
measured in bits per second (bps)
Digital data is binary: uses 1s and 0s to
represent everything
Binary digits can be represented as voltage
Basic Digital Terms
Bit: digit in a binary number
1 is a 1-bit number (=1 in base 10)
10 is a 2-bit number (=2 in base 10)
10011001 is an 8-bit number (=153 in base 10)
Byte: eight bits
VIViD Communication
Voice
Image
Video
Data
Converting Voice
What makes sound? Vibration of air
How can we record that vibration?
How can we convert that to an electrical
signal?
Analog Voice Communication
Primarily used for transmission of human
voice (telephony)
Microphone captures voice vibrations,
converts them to waves than can be expressed
through variations of voltage
Examples
Telephone (3000Hz)
Hi-Fi Sound (15,000Hz; approximate range of
Digital Voice Communication
For good representation, must sample amplitude at a
rate of at least twice the maximum frequency
Measured in samples per second, or smp/sec
Telephone quality: 8000smp/sec, each sample using
8 bits
8 bits * 8000smp/sec = 64kbps to transmit
CD audio quality: 44000smp/sec, each sample using
16 bits
16 bits * 44000smp/sec = 1.41mbps to transmit clearly
Converting Images
Break image up into small units
More units means more detail
Units called pixels
Use photocell to read each unit, assign value
How can we represent those units
electrically?
PACMAN example
Image Quality Issues
More pixels=better quality
More compression=reduced quality
“Lossy” gives from 10:1 to 20:1 compression
“Lossless” gives less than 5:1
Less compression=reduced speed of transfer
Choices in imaging technology, conversion,
and communication all affect end-user’s
satisfaction
Video Communication
Sequences of images over time
Same concept as image, but with the
dimension of time added
Significantly higher bandwidth requirements
in order to send images (frames) quickly
enough
Similarity of adjacent frames allows for high
compression rates
Data Communication
In this context, we mean data stored on
computers
Already digital, so no conversion necessary
Bandwidth usually affects speed, but not
quality
Examples?
Bandwidth Requirements
Review chart on page 27
What happens when bandwidth is
insufficient?
Poor quality or slow transmission
How long does it take to become impatient?
Is data communication ever “fast enough”?