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The Google Hilltop Algorithm, p.5

June 4th, 2004      (Continued)

Hilltop & Google’s index of over 3.3 billion pages
Since its very beginning, Google has basically been operating most of its search engine through about ten thousand Pentium servers (some call them inexpensive personal computers), evenly distributed mostly through some major data centers located in many cities, the major part of them situated in the US. That is basically how Google has built its hardware network-- from the ground up.

In terms of software, and coming back to the Hilltop algorithm, if we make an observation on how about 10,000 servers can have the dynamic processing ‘intelligence’ to rapidly determine and locate “expert documents” from hundreds of thousands of different and ‘topical’ Web pages, it is clear that the Google Hilltop algorithm is at work in such a formidable accomplishment.

From what I can observe and from what I know of search engines, since November 16, Google is now running a form of batch processing (similar to the mid-seventies 'old days of computing, using bulky mainframe computers the size of large refrigerators, except that today, those 10,000 servers replace those mainframes) of frequent keywords, key phrases and search terms.

Google then stores these results in its massive database of over 3.3 billion pages, ready to be used as soon as a searcher makes a query using those search terms.

How Google does this is very simple: it has immediate access of the most popular and frequent keywords used and in the search terms used daily from its large database, and in real time, collected from actual searches used by everyday users, as well as actual keywords and key phrases used in its AdWords PPC (pay-per-click) ad program.

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Article written by Serge Thibodeau,
President & CEO,
Rank for $ales
Copyright (c) Serge Thibodeau 2003

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