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Using Cheap Equipment, aka massively parallel computers
Google's approach works because the nature of the process which Google is executing is inherently parallel, e.g. many-to-many transactions. Not only this, but the data Google handles is relatively static and is relatively insensitive to update issues. Most importantly, the multiple copies of the data (e.g. the web pages)do not need to be identical, they can be out of sync with each other.

Googles approach would work well with any situation which matches theirs a many-to-many transaction relationship. Unfortunately, these tend to be less common than the more usual one-to-many data relationship which obtains with most commercial situations.
Posted by: smfriedland   Posted on: 03/06/05 You are currently: a Guest | Members login | Terms of Use

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I wonder what they use for the desktop  Arrg | 03/03/05
RE: I wonder what they use for the desktop  rhavyn | 03/03/05
Smart Idea!  BitTwiddler | 03/03/05
RE: Smart Idea!  rhavyn | 03/03/05
Downloadable links for GFS and Mapreduce papers  David Mohring | 03/03/05
I would have to say  Linux User 147560 | 03/03/05
Using Cheap Equipment, aka massively parallel computers  smfriedland | 03/06/05
Time for a MainFrame  Fraumann | 03/07/05
Does "redundancy" mean anything to you?  CobraA1 | 05/06/05
Redundancy adds Complexity  Fraumann | 08/14/06

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