Launched in 1996 by Stanford University students Larry Page and Sergey Brin as “Backrub”, Google has grown to be known as one of the top search engines available today. At first Google was run out of a garage until 1999 when Larry Page and Sergey Brin bought their first office, and in 2001 they open their first international office in Tokyo. While Google is known for making it easy for any person to search any topic and find their answer, it takes a lot of behind the scene work to run this powerful search engine. The key to their success has been based of its strategic use of both software and hardware information technologies. The information technology infrastructure behind this search engine includes huge storage databases and numerous server farms to produce significant computational processing power.
Google uses many equations and algorithms to figure out their yearly revenue, cost of information technology systems maintenance, and keep up with users and search results from the website. Instead of Google relying on the usual payments for ads such as banners, or payments for “click-throughs” to an advertiser’s site, Google did something different (Cusumano 15-17). As a part of Google’s business model they created a business with online advertising. They proposed a cost-per-click pricing for sponsored advertisements such that advertisers only pay a base fee, and for the number of referrals to their site. The Page Rank is an algorithm assigns a numerical weight to each element of a hyperlinked set of documents.
Even though their information technology infrastructure has changed dramatically over the years, the model for information technology systems use at Google has stayed the same over all those years. The model that Google has never changed for their information technology systems follow the original principles adopted by the co-founders of building a prototype system that uses commodity hardware and intelligent software (Patterson & Hennessy, 2004). The computational framework for Google is made possible by using low-cost hardware. Google uses the same type of memory, disc drives, fans, power supplies, and other computer components as those in a standard desktop PC (Arnold 55-79). Google upgrades the hardware in its data center every two to three months, mainly to increase processing power and storage capacity.
Hardware and software play a major role in Google’s information technology system. Google uses three primary server types: master server, tablet servers, and lock servers. To gather all documents old and new collected from the web, Google runs a large number of server farms in the data centers. These data centers are at different regions within the United States and around the world. Google has the hardware and software built to run applications rapidly, perform computationally intensive applications quickly, and deliver high-reliability services from low-cost, commodity hardware (Arnold 55-79). When it...