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dc.contributor.authorPham, Duy-Phuongen_US
dc.contributor.authorYuan, Shyan-Mingen_US
dc.contributor.authorJou, Emeryen_US
dc.date.accessioned2014-12-08T15:25:45Z-
dc.date.available2014-12-08T15:25:45Z-
dc.date.issued2010en_US
dc.identifier.isbn978-3-642-13066-3en_US
dc.identifier.issn0302-9743en_US
dc.identifier.urihttp://hdl.handle.net/11536/18187-
dc.description.abstractRunning an email system with full protection from spam and viruses has always been a pain for any system administrator. The problem becomes more severe for those who are responsible for large number of mail-boxes with huge amount of data in a large-scale email system. By using MapReduce framework, which is designed for distributed processing of large data sets on clusters of computers, this paper proposes a solution of building a large-scale email system with complete protection from spam and viruses.en_US
dc.language.isoen_USen_US
dc.subjectMapReduceen_US
dc.subjectlarge-scale email systemen_US
dc.subjectanti spamen_US
dc.titleA Fully-Protected Large-Scale Email System Built on Map-Reduce Frameworken_US
dc.typeArticleen_US
dc.identifier.journalADVANCES IN GRID AND PERVASIVE COMPUTING, PROCEEDINGSen_US
dc.citation.volume6104en_US
dc.citation.spage662en_US
dc.citation.epage669en_US
dc.contributor.department資訊科學與工程研究所zh_TW
dc.contributor.departmentInstitute of Computer Science and Engineeringen_US
dc.identifier.wosnumberWOS:000280488900064-
Appears in Collections:Conferences Paper