完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | Pham, Duy-Phuong | en_US |
dc.contributor.author | Yuan, Shyan-Ming | en_US |
dc.contributor.author | Jou, Emery | en_US |
dc.date.accessioned | 2014-12-08T15:25:45Z | - |
dc.date.available | 2014-12-08T15:25:45Z | - |
dc.date.issued | 2010 | en_US |
dc.identifier.isbn | 978-3-642-13066-3 | en_US |
dc.identifier.issn | 0302-9743 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/18187 | - |
dc.description.abstract | Running 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.iso | en_US | en_US |
dc.subject | MapReduce | en_US |
dc.subject | large-scale email system | en_US |
dc.subject | anti spam | en_US |
dc.title | A Fully-Protected Large-Scale Email System Built on Map-Reduce Framework | en_US |
dc.type | Article | en_US |
dc.identifier.journal | ADVANCES IN GRID AND PERVASIVE COMPUTING, PROCEEDINGS | en_US |
dc.citation.volume | 6104 | en_US |
dc.citation.spage | 662 | en_US |
dc.citation.epage | 669 | en_US |
dc.contributor.department | 資訊科學與工程研究所 | zh_TW |
dc.contributor.department | Institute of Computer Science and Engineering | en_US |
dc.identifier.wosnumber | WOS:000280488900064 | - |
顯示於類別: | 會議論文 |