Scale-adaptable recrawl strategies for DHT-based distributed web crawling system

  • Authors:

  • Xiao Xu;Weizhe Zhang;Hongli Zhang;Binxing Fang

  • Affiliations:

  • School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China;School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China;School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China;School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China

  • Venue:
  • NPC'10 Proceedings of the 2010 IFIP international conference on Network and parallel computing
  • Year:
  • 2010

Quantified Score

Hi-index 0.00

Visualization

Abstract

Large scale distributed Web crawling system using voluntarily contributed personal computing resources allows small companies to build their own search engines with very low cost. The biggest challenge for such system is how to implement the functionalities equivalent to that of the traditional search engines under a fluctuating distributed environment. One of the functionalities is incremental crawl which requires recrawl each Web site according to the update frequency of each Web site's content. However, recrawl intervals solely calculated from change frequency of the Web sites may mismatch the system's real-time capacity which leads to inefficient utilization of resources. Based on our previous works on a DHT-based Web crawling system, in this paper, we propose two scale-adaptable recrawl strategies aiming to find solutions to the above issue. The methods proposed are evaluated through simulations based on real Web datasets and show satisfactory results.