Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/19420

TitleEfficient partitioning strategies for distributed web crawling
Author(s)Exposto, José
Macedo, Joaquim
Pina, António Manuel Silva
Alves, Albano Agostinho Gomes
Rufino, José
KeywordsInformation retrieval
Multi-objective
Crawling
Web space
Issue date2008
PublisherSpringer
Abstract(s)This paper presents a multi-objective approach to Web space partitioning, aimed to improve distributed crawling efficiency. The investigation is supported by the construction of two different weighted graphs. The first is used to model the topological communication infrastructure between crawlers and Web servers and the second is used to represent the amount of link connections between servers' pages. The values of the graph edges represent, respectively, computed RTTs and pages links between nodes. The two graphs are further combined, using a multi-objective partitioning algorithm, to support Web space partitioning and load allocation for an adaptable number of geographical distributed crawlers. Partitioning strategies were evaluated by varying the number of partitions (crawlers) to obtain merit figures for: i) download time, ii) exchange time and iii) relocation time. Evaluation has showed that our partitioning schemes outperform traditional hostname hash based counterparts in all evaluated metric, achieving on average 18% reduction for download time, 78% reduction for exchange time and 46% reduction for relocation time.
TypeConference paper
URIhttp://hdl.handle.net/1822/19420
ISBN978-3-540-89523-7
Publisher versionhttp://www.springerlink.com/
Peer-Reviewedyes
AccessRestricted access (UMinho)
Appears in Collections:DI/CCTC - Artigos (papers)

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