Information retrieval systems to be successful on the global scale information systems such as the Internet must take a planetary approach towards such task. The information search space covers documents of all sorts, information sources across the world and more. “ In the process of creating a planetary scale web search service, Google has developed a massively parallel and fault tolerant distributed file system ( GFS) along with a data organization(BigTable) and programming paradigm(MapReduce) that markedly different from the traditional information systems such as relational model. Such “cloud data strategies” are particularly well suited for large volume massively parallel text processing, as well as possibly other tasks such as enterprise analytics”. The public cloud computing offerings from Google i.e Google App Engine as well as those from other vendors have made similar data models ( Google’s Datastore, Amazon’s SimpleDB) and programming paradigms ( Hadoop on Amazon’s EC2) available to users as part of their cloud platforms – Source: Gautam Shroff, Enterprise Cloud Computing, Cambridge University Press , 2010
