Selasa, 28 April 2009

A little more complex Comm System

A little more complex Comm System


  • User of a PC wishes to send a message ‘m’
  • User activates electronic mail package e.g hotmail
  • Enters the message via input device (keyboard)
  • Character string is buffered in main memory as a sequence of bits ‘g’
  • PC is connected to some trans system such as a Telephone Network via an I/O Transmitter like Modem
  • Transmitter converts incoming stream ‘g’ into a signal ‘s’
RECEIVER SIDE
  • The transmitted signal ‘s’ is subject to a number of impairments depending upon the medium
  • Therefore, received signal ‘r’ may differ from ‘s’.
  • Receiver attempts to estimate original ‘s’ based on its knowledge of the medium and received signal ‘r’
  • Briefly buffered in the memory
  • Data is presented to the user via an output device like printer, screen etc.
  • The data viewed by user m’ will usually be an exact copy of the data sent ‘m’
  • Receiver produces a bit stream g’(t)
  • Briefly buffered in the memory
  • Data is presented to the user via an output device like printer, screenetc.
  • The data viewed by user m’ will usually be an exact copy of the data sent ‘m’
EXAMPLE-Telephone System
  • Input to the Telephone is a message ‘m’ in the form of sound waves
  • The sound waves are converted by telephone into electric signals of the same frequency
  • These signals are transmitted w/o any modification over the telephone line
  • Hence g(t) and s(t) are identical
  • S(t) will suffer some distortion so that r(t) will not be the same as s(t)
  • R(t) is converted back to sound waves with no attempt of correction or improvement of signal quality
  • Thus m’ is not an exact replica of m

Selasa, 24 Februari 2009

Components of a Data Comm. Systems


Components of a Data Com Systems
Components of a Data Com Systems
Any system is made up of more than one component. Similarly, a data communication
system is made up of 5 components as shown in the fig:
  • Message
  • Sender
  • Receiver
  • Medium
  • Protocol
MESSAGE
  • Information or Data to be communicated
  • Can be text, numbers, video or any combination of these
  • In short anything that can be represented using binary bits
Data Communication Messages
Files (meaningful collections of records)
Data/information requests (database queries, Web page requests,
etc.)
Responses to requests and commands or error messages
Status messages (about the network’s functional status)
Control messages transmitted between network devices to control
network traffic
Correspondence among network users

MESSAGE TYPES
SENDER
  • Device that sends the data message
  • Can be a Computer , Workstation, Video camera etc
  • As already discussed, the data from the sender might not be in the appropriate format for the transmission medium and will need to be processed
RECEIVER
  • Device that receives the message
  • Can be a computer, workstation, Television etc
  • At times, the data received from the transmission medium may not be in a proper form to be supplied to the receiver and it must be processed
MEDIUM
  • Physical path that a message uses to travel from the Sender to the Receiver
  • Can be a Copper Cable (Telephone), Coaxial Cable (Cable TV), Fiber Optic Cable, LASERS or Radio Waves (Wireless Medium)
  • We will see that Data needs to be transferred in the form of ELECTROMAGNETIC signals and The Transmission Medium should be capable of carrying these EM Signals
Transmission Media

PROTOCOL
  • Set of Rules Governing Communication
  • Represents an Agreement between communication devices
  • Without Protocol, two devices may be connected but they will not be able to communicate
EXAMPLE: Consider the communication between two
individuals. They can only communicate provided they
both speak the same language.

Kamis, 08 Januari 2009

VAGUE DEFINITIONS We will clarify

Data Communication System
For Data Communication to occur, the communicating devices must be a part of a
communication system made up of some specific kind of hardware and software
This type of a system is known as a
“DATA COMMUNICATION SYSTEM”

Effectiveness of Data Comm. System
Effectiveness depends upon three fundamental characteristics:
  • Delivery
  • Accuracy
  • Timeliness (Better NEVER than LATE)
Example of the POSTAL MAIL

Selasa, 06 Januari 2009

TODAY’S EVERGHANGING & BUSY WORLD

  • Today’s fast world demands better, secure and most of all FAST ways of communication
  • Gone are the days when you had to wait a couple of weeks to get a letter from USA
  • Why wait ONE week when you can get the information you require in just a split of a second, using what we know by the name of “DATA COMMUNICATION”.
HOW TO ACHIEVE THIS?
  • How to achieve this ACCURACY, SECURITY and SPEED for the transfer of this information?
  • What HARDWARE, and the SOFTWARE is needed ?
  • And, what should be the MEANS of sending this info?
ARE SOME OF TOPIC WE WILL BE EXPLORING DURING THE COURSE OF
OUR STUDY

DATA COMMUNICATION
  • When we communicate , we share information
  • Information can be LOCAL or REMOTE
  • Between Individuals LOCAL communication occurs face to face
  • REMOTE communication occurs over a long distance
  • When we refer to COMPUTER SYSTEMS, Data is represented in the form of Binary Units (Bits) in the form of Zeros (0’s) and One’s (1’s)
  • Also the entities can most of the times be considered to be COMPUTERS
Data Communication Definition (Modified)

Therefore , our earlier definition can easily be modified to:
“Data Communication is the exchange of data (in the form of 0’s and 1’s)
between two devices (computers) via some form of the transmission medium.”


LOCAL and REMOTE Data Communication

LOCAL
Data communication is considered to be local if the communicating devices
are present in the same building or a similarly restricted geographical area
REMOTE
Data Communication is considered remote, if the devices are farther apart.



Senin, 05 Januari 2009

INTRODUCTION TO DATA COMMUNICATION

DEFINITION OF DATA COMMUNICATION
“Data Communication is the exchange of Information from one entity to the other
using a Transmission Medium”.

DEFINITION OF DATA COMMUNICATION (Cont’d)
As you can clearly notice, the definition of Data Communication although Simple
leaves many questions unanswered:
  • Exchange??????
  • Information?????
  • Entities???????
  • Transmission????
  • Medium????
We will try to answer all these Questions in this Course

History of Data Communication
Data communications history represents a blend of histories, including:
  • The history of the telecommunications industry
  • The history of data communications, and
  • The history of the Internet
  • Telegraph 1837 Samuel Morse
Telegraph 1837 Samuel Morse
Modern telecommunication industry began in 1837 with the invention of
the telegraph by Samuel Morse
This led to building a telecommunications infrastructure of poles and
wires as well as to the development of communication hardware and
protocols

Telephone 1876 Alexander Graham Bell
Invention of telephone by Alexander Graham Bell in 1876 and the
development of wireless communication technology by Guglielmo
Marconi in the 1890s set the stage for today’s communication industry

By 1950’s
By 1950s, telephone and telegraph companies had developed a network of
communication facilities throughout the industrialized world

1970’S
Although development of databases, languages, operating systems, and
hardware was strong from 1950s to 1970s, large-scale data communication
systems did not emerge until the 1970s.


This was stimulated by 3 major developments:

  • Large-scale integration of circuits reduced cost and size of terminals and communication equipment
  • New software systems that facilitated the development of data communication networks
  • Competition among providers of transmission facilities reduced the cost of data circuits

Sabtu, 27 Desember 2008

Traffic Management For High-Speed Networks

Traffic Management For High-Speed Networks is written by H.T. Kung, Gordon McKay - Professor of Electrical Engineering & Comuputer Science and Harvard University. This network management book is published by National Academies Press.
Abstract
Network congestion will increase as network speed increases. New control methods are needed, especially for handling "bursty" traffic expected in very high speed networks such as asynchronous transfer mode (ATM) networks. Users should have instant access to all available network bandwidth when they need it, while being assured that the chance of losing data in the presence of congestion will be negligible. At the same time, high network utilization must be achieved, and services requiting guaranteed performance must be accommodated. This paper discusses these issues and describes congestion control solutions under study at Harvard University and elsewhere. Motivations, theory, and experimental results are presented.
Following are the topics covered in this network management book.
  1. Why New Control Methods Are Needed
  2. Rapid Increase in Network Speeds
  3. Network Congestion Problem
  4. Inadequacy of Brute-Force Approach to Providing Large Buffers
  5. Use of Flow Control
  6. Control of Congestion for ATM Networks
  7. Technical Goals of Flow Control for Supporting ATM ABR Services
  8. Two Traffic Models
  9. A Flood Control Principle
  10. Credit-based Flow Control
  11. Credit Update Protocol
  12. Static vs. Adaptive Credit Control
  13. Adaptive Buffer Allocation
  14. Receiver-oriented Adaptive Buffer Allocation
  15. Rationale for Credit-based Flow Control
  16. Overallocation of Resources to Achieve High Efficiency
  17. Link-by-Link Flow Control to Increase Quality of Control
  18. Per-VC Queueing to Achieve a High Degree of Fairness
  19. Rate-based Flow Control
  20. CreditNet ATM Switch
  21. Experimental Network Configurations
  22. Measured Performance on CreditNet Experimental Switches
  23. Summary and Concluding Remarks
  24. Acknowledgments
  25. References
You can download or read this book from the following link.
Read More/Download
Buy this book
Traffic Management for High-Speed Networks: Fourth Lecture International Science Lecture Se ries
Related Networking Ebooks
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  2. Computer Security Ebooks
  3. Artificial Neural Networks Ebooks
  4. Cryptography Ebooks

Kamis, 31 Januari 2008

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