PPT-MapReduce

Author : tatiana-dople | Published Date : 2016-06-30

MapReduce Outline MapReduce Architecture MapReduce Internals MapReduce Examples JobTracker Interface MapReduce A Real World Analogy Coins Deposit MapReduce A

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MapReduce: Transcript

MapReduce Outline MapReduce Architecture MapReduce Internals MapReduce Examples JobTracker Interface MapReduce A Real World Analogy Coins Deposit MapReduce A Real World Analogy. ：. R. eusing . results . of . mapreduce. . jobs. Jun Fan. Outline. Introduction to . MapReduce. MapReduce. and its implementations such as . Hadoop. are common in . Facebook. , Yahoo, and Google as well as smaller companies. : Simplified Data Processing on Large Clusters. Jeffrey Dean & . Sanjay . Ghemawat. Appeared in:. OSDI '04: Sixth Symposium on Operating System Design and Implementation, San Francisco, CA, December, 2004. . Tsung. -Wei Huang. and Martin D. F. Wong. Department of Electrical and Computer Engineering (ECE). University of Illinois at Urbana-Champaign (UIUC), IL, USA. 2015 ACM International Symposium on Physical Design (ISPD). Cloud, Part II: Search => Cluster Apps => Scalable Machine Learning. David E. Culler. . CS162 – Operating Systems and Systems Programming. Lecture 40. December 3, . 2014. Proj. : CP 2 . today. Runhui Li, . Patrick P. C. Lee. , . Yuchong. Hu. The Chinese University of Hong Kong. DSN’14. Motivation. Clustered storage systems. . are widely . deployed . (e.g. ., GFS, HDFS, Azure). Stripe data across multiple nodes. IUPUI Computer Science. February 11 2011. Geoffrey Fox. gcf@indiana.edu. . . http://www.infomall.org. . http://www.futuregrid.org. . Director, Digital Science Center, Pervasive Technology Institute. , Collective Communication, and Services. Oral Exam, . Bingjing. Zhang. Outline. MapReduce. MapReduce. Frameworks. Iterative . MapReduce. Frameworks. Frameworks Based on . MapReduce. and Alternatives. , the Big Data Workhorse. Vyassa Baratham, Stony Brook University. April 20, 2013, 1:05-2:05pm. cSplash. 2013. Use several computers to process large amounts of data. Often significant . distribution overhead. 2.0 and YARN. Subash. D’Souza. Who am I?. Senior Specialist Engineer at . Shopzilla. Co-Organizer for the Los Angeles . Hadoop. User group. Organizer for Los Angeles . HBase. User Group. Reviewer on Apache Flume: Distributed Log Processing, . Efficient and scalable architectures to perform pleasingly parallel, MapReduce and iterative data intensive computations on cloud environments. Thilina. . Gunarathne. (tgunarat@indiana.edu). Advisor : . HPC(Exascale) . Systems. June 24 2012. HPC . 2012 . Cetraro. , Italy. Geoffrey Fox. gcf@indiana.edu. . Informatics, Computing and Physics. Indiana . University . Bloomington. Science Computing Environments. Yang . Ruan. , . Zhenhua . Guo. , . Yuduo. Zhou, Judy . Qiu. , Geoffrey Fox. Indiana . University, US. Outline. Introduction and Background. MapReduce. Iterative MapReduce. Distributed Workflow . Management Systems. By . Yufei. Tao, . Wenqing. . Lin, . Xiaokui. . Xia. Edited by Tuval Rotem. First topic:. What is MapReduce. But first…. Regular day at work. You’re doing your regular work while suddenly your boss, . MapReduce. Architecture. MapReduce. Internals. MapReduce. Examples. JobTracker. Interface. MapReduce. : A Real World Analogy. Coins Deposit. ?. MapReduce. : A Real World Analogy. Coins Deposit. Coins Counting Machine.

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