PPT-Data-Intensive Computing

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with MapReduce Jimmy Lin University of Maryland Thursday January 31 2013 Session 2 Hadoop Nuts and Bolts This work is licensed under a Creative Commons AttributionNoncommercialShare

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Data-Intensive Computing: Transcript

with MapReduce Jimmy Lin University of Maryland Thursday January 31 2013 Session 2 Hadoop Nuts and Bolts This work is licensed under a Creative Commons AttributionNoncommercialShare Alike 30 United States. Bina. Ramamurthy (. B. ina. ). bina@buffalo.edu. http://www.cse.buffalo.edu/faculty/bina. This talk is partially funded by NSF grant . NSF-TUES-0920335. &. by . AWS . in Education Coursework Grant award. Efficient and scalable architectures to perform pleasingly parallel, MapReduce and iterative data intensive computations on cloud environments. Thilina. . Gunarathne. (tgunarat@indiana.edu). Advisor : . Efficient and scalable architectures to perform pleasingly parallel, MapReduce and iterative data intensive computations on cloud environments. Thilina. . Gunarathne. (tgunarat@indiana.edu). Advisor : . by Mahedi Hasan. 1. Table of Contents. Introducing Cluster Concept. About Cluster Computing. Concept of whole computers and it’s benefits. Architecture and Clustering Methods. Different clusters catagorizations. 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. . GRID COMPUTING. Today's science is much based on computation, data analysis, and collaboration as on the efforts of individual experimentalists and theorists.. Grid computing. is the application of several computers to a single problem at the same time. . S Jha. 1. , J Qiu. 2. , A Luckow. 1. , P Mantha. 1. , Geoffrey Fox. 2. 1 . Rutgers http://radical.rutgers.edu. 2 . Indiana . . http. ://. www.infomall.org. http://. arxiv.org. /abs/1403.1528. on . Clouds. Thilina. . Gunarathne. (tgunarat@indiana.edu). Advisor : . Prof.Geoffrey. . Fox (gcf. @indiana.edu). Committee . : . Prof.Judy. . Qiu. , . Prof.Beth. . Plale. , . Prof.David. . Leake. Cloud Computing. Douglas . Thain. University of Notre Dame. IDGA Cloud Computing. 8 February 2011. The Cooperative Computing Lab. We collaborate with people who have large scale computing problems in science, engineering, and other fields.. Cloud Computing. Douglas . Thain. University of Notre Dame. IDGA Cloud Computing. 8 February 2011. The Cooperative Computing Lab. We collaborate with people who have large scale computing problems in science, engineering, and other fields.. Main Contribution of this Research Work Systems. Statewide IT Conference . October 1, . 2009, Indianapolis. Judy Qiu. xqiu@indiana.edu. . www.infomall.org/salsa. Community . Grids Laboratory, . Pervasive . Technology Institute. Indiana University. Data . Streams. Slides . based on Chapter 4 . in Mining . Data Streams . What is time series data?. Data that is observed or measured at points in time. Timestamp. Fixed periods. e.g. hours, days, months or years. Jerry Adams. 1. , Bradley Hittle. 2. , Eliot Prokop. 3. , . Ronny Antequera. 3. , Dr.Prasad Calyam. 3. University of Hawaii-West Oahu. 1. , . The . Ohio State University. 2. , University of Missouri-Columbia.

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