%0 Conference Proceedings
%T Scale-Adaptable Recrawl Strategies for DHT-based Distributed Web Crawling System
%+ School of Computer Science and Technology [Harbin]
%A Xu, Xiao
%A Zhang, Weizhe
%A Zhang, Hongli
%A Fang, Binxing
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B IFIP International Conference on Network and Parallel Computing (NPC)
%C Zhengzhou, China
%Y Chen Ding; Zhiyuan Shao; Ran Zheng
%I Springer
%3 Network and Parallel Computing
%V LNCS-6289
%P 91-105
%8 2010-09-13
%D 2010
%R 10.1007/978-3-642-15672-4_9
%K Distributed Web crawling
%K search engine
%K incremental crawl
%K DHT
%Z Computer Science [cs]/Digital Libraries [cs.DL]Conference papers
%X 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.
%G English
%2 https://inria.hal.science/hal-01054954/document
%2 https://inria.hal.science/hal-01054954/file/manuscript-source-10-06-11-NPC10-_1569306855.pdf
%L hal-01054954
%U https://inria.hal.science/hal-01054954
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-LNCS-6289
%~ IFIP-NPC
%~ IFIP-2010