James
Member
Registered: 1st Jun 02
Location: Surrey
User status: Offline
|
Im revising for my Client Server unit at uni and im learning about a topic called domain compression, but the lecture notes dont really explain it well and i just cant get my head ruond it.
Could someone just explain it im fairly simple terms, using examples if possible.
Much appreciated, James
|
Aaron02
Member
Registered: 26th Feb 03
User status: Offline
|
Locate ur domain...use something like Winzip..WinRAR to compress it 
Degree Please...
|
richard_syko
Banned
Registered: 17th Dec 03
Location: Newport, Wales
User status: Offline
|
|
Nismo
Member
Registered: 12th Sep 02
User status: Offline
|
http://www.google.co.uk/search?hl=en&q=what+is+domain+compression&meta=
|
Aaron02
Member
Registered: 26th Feb 03
User status: Offline
|
|
dna23
Member
Registered: 1st Nov 04
Location: Northamptonshire
User status: Offline
|
domain compression is a sort of “squeezing” of a domain from redundant information that can be systematically recovered
[Edited on 10-05-2005 by dna23]
|
Dan B
Member
Registered: 25th Feb 01
User status: Offline
|
Because, of course, referring to anyone who knows about computers as "geeks" is going to inspire them to answer the question! 
|
Ian
Site Administrator
Registered: 28th Aug 99
Location: Liverpool
User status: Offline
|
Distributed systems contains clients, servers and communication channels. All of these has attributes like how to program it, how to store and move data etc.
When you think of those as three domains - as in like areas of work within a project - you can compress these by writing an interface which bridges over all three, eg program running on the client which seemlessly (to the user) goes and gets data over the communication channel off the server, so it looks like one single system.
Its also used in other contexts mainly data and images, like where you have a guy standing in a park, the facial data would be measured using integral calculus to find the gradient of the luminence curves, large gradients = large changes in luminence = an edge. The grass and sky might be described better using some sort of colour patterning. If you can recognise the image as a whole and tell its a guy in a park and who the guy is, the two domains of image recognition are compressed in to one domain of seeing the whole picture, and the end user wouldn't necessarily notice that there were different techniques employed.
|
