PPT-Reining in the Outliers in MapReduce

Author : trish-goza | Published Date : 2016-06-29

Jobs using Mantri Ganesh Ananthanarayanan Srikanth Kandula Albert Greenberg Ion Stoica Yi Lu Bikas Saha Ed Harris UC Berkeley Microsoft 1 MapReduce Jobs

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Reining in the Outliers in MapReduce: Transcript


Jobs using Mantri Ganesh Ananthanarayanan Srikanth Kandula Albert Greenberg Ion Stoica Yi Lu Bikas Saha Ed Harris UC Berkeley Microsoft 1 MapReduce Jobs. k. -center clustering. Ilya Razenshteyn (MIT). Silvio . Lattanzi. (Google), Stefano . Leonardi. (. Sapienza. University of Rome) and . Vahab. . Mirrokni. (Google). k. -Center clustering. Given:. , Collective Communication, and Services. Oral Exam, . Bingjing. Zhang. Outline. MapReduce. MapReduce. Frameworks. Iterative . MapReduce. Frameworks. Frameworks Based on . MapReduce. and Alternatives. Jayakrishnan. . Unnikrishnan. LCAV, EPFL. Collaborators. Dayu. Huang, Sean . Meyn. , . Venu. . Veeravalli. , University of Illinois . Amit. . Surana. , UTRC. IPG seminar. 2 March 2011. Outline. Universal Hypothesis Testing. What is an outlier?. Sometimes, distributions are characterized by extreme values that differ greatly from the other observations. These extreme values are called outliers. . How do you know if a data point is an outlier?. Roger Butlin. University of Sheffield. Nielsen R. . (2005) Molecular signatures of natural selection. . . Annu. . Rev. Genet. . 39, 197–218.. What signatures does selection leave in the genome?. Population differentiation – today’s focus!. 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, . The Story of Success. By Malcolm Gladwell . What is an Outlier?. out-li-. er. . (n.). 1. something that is situated away from or classed differently from a main or related body. . 2. a statistical observation that is markedly different in value from the others of the sample. . Olivier . Dupriez. World Bank, Development Data Group. odupriez@worldbank.org. 6 June 2013. Initial objective. Calculate poverty PPPs. Had price data at basic heading level from the ICP ; needed consumption shares “at the poverty line” for the same breakdown to be used as weights.. Presented By. Shefali. . Gundecha. Srinivas . Narne. Yash. Kulkarni. Papers to be discussed…. Y. Shan, B. Wang, J. Yan, Y. Wang, N. Xu, and H. Yang, . " FPMR: MapReduce Framework on FPGA: A Case Study of . Bell Ringer . Mastery is a word that you have heard a lot throughout this year in regards to grades. Consider what Malcolm Gladwell says about mastery and what must be done in order for all individuals to achieve mastery. What is being done here to help you to achieve mastery and success in your classes? What could be done in order to improve your ability to achieve mastery and success? (. Jobs using . Mantri. Ganesh Ananthanarayanan. †. , Srikanth Kandula*, Albert Greenberg*, Ion Stoica. †. , Yi Lu*, Bikas Saha*, Ed Harris*. . †. UC Berkeley * . Microsoft. 1. MapReduce Jobs. La gamme de thé MORPHEE vise toute générations recherchant le sommeil paisible tant désiré et non procuré par tout types de médicaments. Essentiellement composé de feuille de morphine, ce thé vous assurera d’un rétablissement digne d’un voyage sur . Jimmy Lin. The iSchool. University of Maryland. Monday, March 30, 2009. This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 United States. See http://creativecommons.org/licenses/by-nc-sa/3.0/us/ for details. Source. MapReduce. : Simplified Data Processing in Large Clusters. . Jefferey. Dean and Sanjay . Ghemawat. . OSDI 2004. Example Scenario. 3. Genome data from roughly . one million users. 125 MB of data per user.

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