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ABSTRACT

This article compares several page ordering strategies for Web crawling under several metrics. The objective of these strategies is to download the most "important" pages "early" during the crawl. As the coverage of modern search engines is small compared to the size of the Web, and it is impossible to index all of the Web for both theoretical and practical reasons, it is relevant to index at least the most important pages.We use data from actual Web pages to build Web graphs and execute a crawler simulator on those graphs. As the Web is very dynamic, crawling simulation is the only way to ensure that all the strategies considered are compared under the same conditions. We propose several page ordering strategies that are more efficient than breadth- first search and strategies based on partial Pagerank calculations.

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INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.4 Systems and Software
          Subjects: Performance evaluation (efficiency and effectiveness)

Additional Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.5 On-line Information Services
          Subjects: Web-based services

General Terms:
Experimentation, Measurement, Performance

Keywords:
scheduling policy, web crawler, web page importance