A fully-protected large-scale email system built on Map-Reduce framework

Duy Phuong Pham*, Shyan-Ming Yuan, Emery Jou

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

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.

Original languageEnglish
Title of host publicationAdvances in Grid and Pervasive Computing - 5th International Conference, GPC 2010, Proceedings
Pages662-669
Number of pages8
DOIs
StatePublished - 25 Jun 2010
Event5th International Conference on Advances in Grid and Pervasive Computing, GPC 2010 - Hualien, Taiwan
Duration: 10 May 201013 May 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6104 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference5th International Conference on Advances in Grid and Pervasive Computing, GPC 2010
CountryTaiwan
CityHualien
Period10/05/1013/05/10

Keywords

  • Anti spam
  • Large-scale email system
  • MapReduce

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