Parallel crawlers

  • Authors:
  • Junghoo Cho;Hector Garcia-Molina

  • Affiliations:
  • University of California, Los Angeles;Stanford University, Stanford CA

  • Venue:
  • Proceedings of the 11th international conference on World Wide Web
  • Year:
  • 2002

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Abstract

In this paper we study how we can design an effective parallel crawler. As the size of the Web grows, it becomes imperative to parallelize a crawling process, in order to finish downloading pages in a reasonable amount of time. We first propose multiple architectures for a parallel crawler and identify fundamental issues related to parallel crawling. Based on this understanding, we then propose metrics to evaluate a parallel crawler, and compare the proposed architectures using 40 million pages collected from the Web. Our results clarify the relative merits of each architecture and provide a good guideline on when to adopt which architecture.