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MapReduce
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241	Dryad and DryadLINQ MapReduce is great, but it lacks flexibility in the structure of computation that can be represented. One way to visualize MapReduce computations is as a graph structure (a DAG). If you can pigeonhole Add to Reading List Source URL: courses.cs.washington.edu Language: English - Date: 2013-06-14 13:51:01
242	Brainwash: A Data System for Feature Engineering Michael Anderson∗ Dolan Antenucci∗ Victor Bittorf† Matthew Burgess∗ Michael Cafarella∗ Add to Reading List Source URL: www.cs.stanford.edu Language: English - Date: 2013-07-22 00:20:14 Computing Concurrent computing Software Data management Parallel computing Hadoop Distributed computing architecture Data integration MapReduce Big data Geographic information system Universal Disk Format
243	NDC: Analyzing the Impact of 3D-Stacked Memory+Logic Devices on MapReduce Workloads Seth H Pugsley1, Jeffrey Jestes1, Huihui Zhang1 , Rajeev Balasubramonian1 , Vijayalakshmi Srinivasan2, Alper Buyuktosunoglu2, Al Davis1 Add to Reading List Source URL: www.cs.utah.edu Language: English - Date: 2014-03-19 22:22:24
244	Byzantine Fault-Tolerant MapReduce: Faults Are Not Just Crashes Pedro Costa1 , Marcelo Pasin1 , Alysson N. Bessani1 , Miguel Correia2 1 Universidade de Lisboa, Faculdade de Ciˆencias, LASIGE – Lisboa, Portugal 2 Insti Add to Reading List Source URL: www.di.fc.ul.pt Language: English - Date: 2011-10-06 14:57:13 Computing Concurrent computing Hadoop Parallel computing Cloud infrastructure Apache Software Foundation Distributed computing architecture MapReduce Apache Hadoop Data-intensive computing State machine replication Byzantine fault tolerance
245	MapReduce and Distributed Data Analysis Sergei Vassilvitskii Google Research Add to Reading List Source URL: people.cs.umass.edu Language: English - Date: 2012-05-25 11:30:22
246	Efficient Parallel kNN Joins for Large Data in MapReduce Chi Zhang1 1 Feifei Li2 Add to Reading List Source URL: www.cs.utah.edu Language: English - Date: 2012-01-25 19:59:03
247	Large-scale L-BFGS using MapReduce Weizhu Chen, Zhenghao Wang, Jingren Zhou Microsoft {wzchen,zhwang,jrzhou}@microsoft.com Add to Reading List Source URL: papers.nips.cc Language: English - Date: 2014-12-02 20:42:15
248	Fast Personalized PageRank on MapReduce ∗ Bahman Bahmani Stanford University Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2011-07-20 21:24:07
249	Fast Greedy Algorithms in MapReduce and Streaming Ravi Kumar∗ Google Mountain View, CA Benjamin Moseley∗† Add to Reading List Source URL: cseweb.ucsd.edu Language: English - Date: 2013-07-26 16:27:26
250	How Hadoop Clusters Break Ariel Rabkin and Randy Katz EECS Department, UC Berkeley Berkeley, California, USA {asrabkin,randy}@cs.berkeley.edu Abstract Add to Reading List Source URL: asrabkin.bitbucket.org Language: English - Date: 2015-07-14 00:13:05 Computing Hadoop Cloud infrastructure Apache Hadoop Cloudera MapReduce Apache HBase MapR Big data Apache Hive Data-intensive computing

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