Abstract
Web spider is a widely used approach to obtain information for search engines. As the size of the Web grows, it becomes a natural choice to parallelize the spider’s crawling process. This paper presents a parallel web spider model based on multi-agent system for cooperative information gathering. It uses the dynamic assignment mechanism to wipe off redundant web pages caused by parallelization. Experiments show that the parallel spider is effective to improve the information gathering performance within an acceptable interaction efficiency cost for controlling. This approach provides a novel perspective for the next generation advanced search engine.
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© 2005 Springer-Verlag Berlin Heidelberg
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Luo, J., Shi, Z., Wang, M., Wang, W. (2005). Parallel Web Spiders for Cooperative Information Gathering. In: Zhuge, H., Fox, G.C. (eds) Grid and Cooperative Computing - GCC 2005. GCC 2005. Lecture Notes in Computer Science, vol 3795. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11590354_143
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DOI: https://doi.org/10.1007/11590354_143
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30510-1
Online ISBN: 978-3-540-32277-1
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