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  • 标题:WebParF:A Web Partitioning Framework for Parallel Crawler
  • 本地全文:下载
  • 作者:Sonali Gupta ; Komal Bhatia
  • 期刊名称:International Journal on Computer Science and Engineering
  • 印刷版ISSN:2229-5631
  • 电子版ISSN:0975-3397
  • 出版年度:2013
  • 卷号:5
  • 期号:08
  • 页码:718-725
  • 出版社:Engg Journals Publications
  • 摘要:With the ever proliferating size and scale of the WWW [1], efficient ways of exploring content are of increasing importance. How can we efficiently retrieve information from it through crawling? And in this �era of tera� and multi-core processors, we ought to think of multi-threaded processes as a serving solution. So, even better how can we improve the crawling performance by using parallel crawlers that work independently? The paper devotes to the fundamental development in the field of parallel crawlers [4], highlighting the advantages and challenges arising from its design. The paper also focuses on the aspect of URL distribution among the various parallel crawling processes or threads and ordering the URLs within each distributed set of URLs. How to distribute URLs from the URL frontier to the various concurrently executing crawling process threads is an orthogonal problem. The paper provides a solution to the problem by designing a framework WebParF that partitions the URL frontier into a several URL queues while considering the various design issues.
  • 关键词:component; WWW; search engine; parallel crawler; Web-Partitioning; URL distribution; Scalability
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