Mapreduce & Hadoop Algorithms in Academic Papers (4th update – May 2011)

It’s been a year since I updated the mapreduce algorithms posting last time, and it has been truly an excellent year for mapreduce and hadoop – the number of commercial vendors supporting it has multiplied, e.g. with 5 announcements at EMC World only last week (Greenplum, Mellanox, Datastax, NetApp, and Snaplogic) and today’s Datameer funding announcement , which benefits the mapreduce and hadoop ecosystem as a whole (even for small fish like us here in Atbrox). The work-horse in mapreduce is the algorithm, this update has added 35 new papers compared to the prior posting, new ones are marked with *. I’ve also added 2 new categories since the last update – astronomy and social networking.

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?

Author organizations and companies?
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

Btw: I would like to recommend:

  1. Mapreduce bibliography maintained by (Cloudera co-founder) Jeff Hammerbacher
  2. (the excellent) book – Data-Intensive Text Processing with Mapreduce by (UMD’s/Twitter’s) Jimmy Lin and Christopher Dyer.

Let me know if you have input/corrections/feedback to this posting – amund @\h@ – or @atveit or @atbrox on twitter.

Best regards,
Amund Tveit (Atbrox co-founder)

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