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A Fully-Protected Large-Scale Email System Built on Map-Reduce Framework

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Advances in Grid and Pervasive Computing (GPC 2010)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6104))

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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.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, National Chiao Tung University, Taiwan

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

Authors
  1. Duy-Phuong Pham
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  2. Shyan-Ming Yuan
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  3. Emery Jou
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Editor information

Editors and Affiliations

  1. Dipartimento di Informatica, Elettronica e Sistemistica (DEIS), Università di Bologna, Viale Risorgimento 2, 40136, Bologna, Italy

    Paolo Bellavista

  2. Department of Computer Science and Information Engineering, National Dong Hwa University, 974, Hualien, Taiwan, Republic of China

    Ruay-Shiung Chang

  3. Department of Electronic Engineering, National Ilan University, 260, Ilan, Taiwan , Republic of China

    Han-Chieh Chao

  4. National Dong Hwa University, 974, Hualien, Taiwan, Republic of China

    Shin-Feng Lin

  5. Faculty of Science Informatics Institute, University of Amsterdam, 1098, Amsterdam, XG, The Netherlands

    Peter M. A. Sloot

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© 2010 Springer-Verlag Berlin Heidelberg

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Pham, DP., Yuan, SM., Jou, E. (2010). A Fully-Protected Large-Scale Email System Built on Map-Reduce Framework. In: Bellavista, P., Chang, RS., Chao, HC., Lin, SF., Sloot, P.M.A. (eds) Advances in Grid and Pervasive Computing. GPC 2010. Lecture Notes in Computer Science, vol 6104. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13067-0_68

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  • DOI: https://doi.org/10.1007/978-3-642-13067-0_68

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13066-3

  • Online ISBN: 978-3-642-13067-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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