Google co-founder Larry Page Google said that stands alone in its focus on developing the perfect search engine," as something that, "understands exactly what you mean and gives you back exactly what you want." To that end, Google has determinedly pursued modernism and refused to accept the limitations of existing models. As a result, Google developed its own serving infrastructure and breakthrough PageRank technology that distorted the way searches are conducted.

At the initial level, Google's developers accepted that providing the fastest, most accurate results compulsory a new kind of server setup. Whereas most search engines ran off a handful of large servers that often leisurely under peak loads, Google employed linked PCs to quickly find each query's answer. The modernization paid off in faster answer times, greater scalability and lower costs. It's an idea that others have since copied, while Google has unrelenting to refine its back-end technology to make it even more efficient.
The software behind Google's search technology conducts a series of instantaneous calculations involved only a fraction of a second. Traditional search engines rely heavily on how frequently a word appears on a web page. Google uses PageRank to examine the entire link constitution of the web and determine which pages are most important. It then conducts hypertext-matching analysis to determine which pages are relevant to the specific search being conducted. By combining overall meaning and query-specific relevance, Google is able to put the most relevant and reliable results first.

PageRank Technology: PageRank performs an objective dimension of the importance of web pages by solving an equation of more than 500 million variables and 2 billion terms. Instead of including direct links, PageRank interpret a link from Page A to Page B as a vote for Page B by Page A. PageRank then assess a page's importance by the number of votes it receives.PageRank also considers the meaning of each page that cast a vote.
Hypertext-Matching Analysis: Google's search engine also analyzes page content. However, instead of simply scanning for page-based text google's technology evaluate the full content of a page and factors in fonts, subdivisions and the accurate location of each word. Google also analyzes the content of adjacent web pages.
Life of a Google Query
The life period of a Google query normally lasts less than half a second, yet involves a number of different steps that must be completed before results can be deliver to a person seeking information.
1. The web server sends the query to the index servers. The content inside the index servers is similar to the index in the back of a book - it tells which pages contain the words that match the query.
2. The query travels to the doc servers, which actually recover the stored documents. Snippets are produced to illustrate each search result.
3. The search results are returned to the user in a fraction of a second.