PDF-Parallel Data Processing with MapReduce A Survey Kyong

Author : marina-yarberry | Published Date : 2014-11-24

com yoonjoonleekaistackr Hyunsik Choi Yon Dohn Chung Department of Computer Science and Engineering Korea University hyunsikchoikoreaackr ydchungkoreaackr Bongki

Presentation Embed Code

Download Presentation

Download Presentation The PPT/PDF document "Parallel Data Processing with MapReduce ..." is the property of its rightful owner. Permission is granted to download and print the materials on this website for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.

Parallel Data Processing with MapReduce A Survey Kyong: Transcript

com yoonjoonleekaistackr Hyunsik Choi Yon Dohn Chung Department of Computer Science and Engineering Korea University hyunsikchoikoreaackr ydchungkoreaackr Bongki Moon Department of Computer Science University of Arizona bkmooncsarizonaedu ABSTRACT A. Unlike sequential algorithms parallel algorithms cannot be analyzed very well in isolation One of our primary measures of goodness of a parallel system will be its scalability Scalability is the ability of a parallel system to take advantage of incr com yoonjoonleekaistackr Hyunsik Choi Yon Dohn Chung Department of Computer Science and Engineering Korea University hyunsikchoikoreaackr ydchungkoreaackr Bongki Moon Department of Computer Science University of Arizona bkmooncsarizonaedu ABSTRACT A , Collective Communication, and Services. Oral Exam, . Bingjing. Zhang. Outline. MapReduce. MapReduce. Frameworks. Iterative . MapReduce. Frameworks. Frameworks Based on . MapReduce. and Alternatives. Paradigms Activity at Data Intensive Workshop. . Shantenu Jha represented by . Geoffrey Fox. gcf@indiana.edu. . . http://www.infomall.org. . http://www.futuregrid.org. . . http://salsahpc.indiana.edu. . Shantenu Jha represented by . Geoffrey Fox. gcf@indiana.edu. . . http://www.infomall.org. . http://www.futuregrid.org. . . http://salsahpc.indiana.edu/. . Director, Digital Science Center, Pervasive Technology Institute. The Second International Workshop on . Data Intensive Computing in the Clouds (DataCloud-SC11) . at SC11. November 14 2011. Geoffrey Fox. gcf@indiana.edu. . . http://www.infomall.org. . MapReduce. on Multicore Clusters. UMBC, Maryland. Judy Qiu. http://salsahpc.indiana.edu . School . of Informatics and Computing. Pervasive Technology Institute. Indiana University. Important Trends. Sixth International Workshop on Cloud Data . Management. CloudDB. 2014. Chicago March 31 2014. Geoffrey . Fox . gcf@indiana.edu. . . http://www.infomall.org. School of Informatics and Computing. Implications . for . Software Environments. . eScience. in the Cloud . 2014. Redmond WA. April 30 2014. Geoffrey . Fox . gcf@indiana.edu. . . http://www.infomall.org. School of Informatics and Computing. ”. Cathy O’Neil & Rachel . Schutt. , 2013. R & Hadoop. Compute squares. 2. R. # create a list of 10 integers. ints. <- 1:10. # equivalent to . ints. <- c(1,2,3,4,5,6,7,8,9,10). # compute the squares. 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. 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. ," said Rich Miller, who edits Data Center Knowledge, a publication that follows the data center industry. "It's buildings filled with servers and generators.". “…. . you'd be hard-pressed to go three miles here without passing some type of data center. "They're all over the place.".

Download Document

Here is the link to download the presentation.
"Parallel Data Processing with MapReduce A Survey Kyong"The content belongs to its owner. You may download and print it for personal use, without modification, and keep all copyright notices. By downloading, you agree to these terms.