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Advisor(s)
Abstract(s)
This paper evaluates scalable distributed crawling by means of the geographical partition of the Web. The approach is
based on the existence of multiple distributed crawlers each one responsible for the pages belonging to one or more previously identified geographical zones. The work considers a distributed crawler where the assignment of pages to visit
is based on page content geographical scope. For the initial assignment of a page to a partition we use a simple heuristic
that marks a page within the same scope of the hosting web server geographical location. During download, if the analyze
of a page contents recommends a different geographical scope, the page is forwarded to the well-located web server.
A sample of the Portuguese Web pages, extracted during the year 2005, was used to evaluate: a) page download communication
times and the b) overhead of pages exchange
among servers. Evaluation results permit to compare our approach to conventional hash partitioning strategies.
Description
Keywords
Web mining Parallel crawling Web partitioning
Citation
Exposto, José; Macedo, Joaquim; Herzog, Pina, António, Alves, Albano; Rufino, José (2005). Geographical partition for distributed web crawling. In International Conference on Information and Knowledge Management. Bremen, Germany. ISBN 1-59593-140-6