Feb 12

The newest and most up-to-date version (May 2010) this blog post is available at http://mapreducebook.org

Atbrox is startup company providing technology and services for Search and Mapreduce/Hadoop. Our background is from from Google, IBM and Research.

This posting is an update to the similar posting from October 2009, roughly doubling the numbers of papers from the previous posting, the new ones are marked with *

Motivation
Learn from academic literature about how the mapreduce parallel model and hadoop implementation is used to solve algorithmic problems.

Which areas do the papers cover?

Who wrote the above papers? (section added 20100307)
Companies: China Mobile, eBay, Google, Hewlett Packard and Intel, Microsoft, Wikipedia, Yahoo and Yandex.
Government Institutions and Universities: US National Security Agency (NSA)
, Carnegie Mellon University, TU Dresden, University of Pennsylvania, University of Central Florida, National University of Ireland, University of Missouri, University of Arizona, University of Glasgow, Berkeley University and National Tsing Hua University, University of California, Poznan University, Florida International University, Zhejiang University, Texas A&M University, University of California at Irvine, University of Illinois, Chinese Academy of Sciences, Vrije Universiteit, Engenharia University, State University of New York, Palacky University, University of Texas at Dallas


Atbrox on LinkedIn

Best regards,

Amund Tveit, co-founder of Atbrox

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7 Responses to “Mapreduce & Hadoop Algorithms in Academic Papers (updated)”

  1. Doug Says:

    See also:
    http://wiki.apache.org/hadoop/Papers

  2. Francesco Says:

    Theoretical models for MapReduce are:

    A Model of Computation for MapReduce (2010)

    and On the Complexity of Processing Massive, Unordered, Distributed Data (2008)

  3. Alex Says:

    See also:
    http://www.umiacs.umd.edu/~jimmylin/book.html

  4. Alex Says:

    nevermind, just noticed that you have it there

    this one by Afrati and Ullman is also interesting:
    http://portal.acm.org/citation.cfm?id=1739041.1739056

  5. Geoff Buuton Says:

    http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.130.5904&rep=rep1&type=pdf

  6. Recommendation: Data-intensive text processing with MapReduce Says:

    [...] Papers on MapReduce algorithms (atbrox.com) [...]

  7. the Cosmos» Blog Archive » Data Mining on Distributed System Says:

    [...] posting is the May 2010 update to the similar posting from February 2010, with 30 new papers compared to the prior posting, new ones are marked [...]

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