PPT-Cloud Computing and MapReduce

Author : barbara | Published Date : 2023-06-23

Used slides from RAD Lab at UC Berkeley about the cloud httpabovethecloudscsberkeleyedu and slides from Jimmy Lin s slides httpwwwumiacsumdedujimmylincloud2010Springindexhtml

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Cloud Computing and MapReduce: Transcript

Used slides from RAD Lab at UC Berkeley about the cloud httpabovethecloudscsberkeleyedu and slides from Jimmy Lin s slides httpwwwumiacsumdedujimmylincloud2010Springindexhtml licensed under Creation Commons Attribution 30 License. S. A. L. S. A. . HPC Group . http://. salsahpc.indiana.edu. School of Informatics and Computing. Indiana University. Judy . Qiu. . Thilina. . Gunarathne. . CAREER Award. Outline. Iterative . 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. 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 : . 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. P. rogramming . F. rameworks for Scientific Applications. Thilina. . Gunarathne. Indiana University. Trends. Massive data. Thousands to millions of cores. Consolidated data centers. Shift from clock rate battle to multicore to many core…. 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. . P. rogramming . F. rameworks for Scientific Applications. Thilina. . Gunarathne. Indiana University. Trends. Massive data. Thousands to millions of cores. Consolidated data centers. Shift from clock rate battle to multicore to many core…. 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. 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 is a model for enabling . convenient. , . on-demand network access . to a . shared pool . of . configurable computing resources . (e.g., networks, servers, storage, applications, and services) [Mell_2009], [Berkely_2009]. . Maddi . Enekoitz. LB1E. . Cloud Computing . sare. batera . konektatua. . dagoen. . serbidore. baten programa eta . zerbitzu. . multzoa. da. Internet . daukan. . edozein. . ordenagailutik. . , collected data is streamed to a central server and data . is processed . on a powerful central server which is usually far away from the . data source.. Cloud Computing or simply “the . Cloud. ”,is. Chapter-8. KEC, . Dhapakhel. 1. Big Data. Big Data applies to information that can’t be processed or analyzed using traditional processes or tools.. 2. Techniques for Voluminous Data. Cloud Computing is an efficient method to balance between...

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