Brown University - Data Management Group » A Comparison of Approaches to Large... - The Diigo Meta page

• 09 Feb 12
  

  Doug Y'barbo

  MapReduce Comparison DistributedProcessing Authority *****

• 25 Jan 12
  

  carlos puentes

  The following information is meant to provide documentation on how others can recreate the benchmark trials used in our SIGMOD 2009 paper. Our experiments were conducted on a 100-node cluster at the University of Wisconsin-Madison; each node had a single 2.40 GHz Intel Core 2 Duo processor running 64-bit Red Hat Enterprise Linux 5 (kernel version 2.6.18) with 4GB RAM and two 250GB SATA-I hard disks.
  
  

  Hadoop databases bigdata MapReduce

• 18 May 11
  

  databases Hadoop mapreduce bigdata

• 07 May 11
  

  bigdata bigdata_mapreduce

• 01 Feb 10
  

  steve ulrich

  mapreduce performance scalability

• 05 Nov 09
  

  y q

  hadoop databases brown university sigmod 2009

• 09 Oct 09
  

  Chris Douglas

  svn co http://graffiti.cs.brown.edu/svn/benchmarks/

  hadoop

• 27 Jun 09
  

  database hadoop map-reduce

• 15 Jun 09
  

  netsuke87

  google research data performance comparison mapreduce reduce rdbms benchmark sourcecode scaling hadoop map pdf database scalability parallel dbms map-reduce paper architecture sql papers versus vs.

• 28 May 09
  

  rawwell

  "The following information is meant to provide documentation on how others can recreate the benchmark trials used in our SIGMOD 2009 paper. Our experiments were conducted on a 100-node cluster at the University of Wisconsin-Madison; each node had a single

  checkitout database

• 05 May 09
  

  Joel Liu

  MapReduce Hadoop

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