PPT-Parallel Applications And Tools For Cloud Computing Environ

Author : danika-pritchard | Published Date : 2017-01-13

SC 10 New Orleans USA Nov 17 2010 Azure MapReduce AzureMapReduce A MapRedue runtime for Microsoft Azure using Azure cloud services Azure Compute Azure BLOB storage

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Parallel Applications And Tools For Cloud Computing Environ: Transcript

SC 10 New Orleans USA Nov 17 2010 Azure MapReduce AzureMapReduce A MapRedue runtime for Microsoft Azure using Azure cloud services Azure Compute Azure BLOB storage for inoutintermediate data storage. Pleasingly Parallel Biomedical Applications Thi lina Gunarathne 1,2 , Tak - Lon Wu 1,2 , Judy Qiu 2 , Geoffrey Fox 1,2 1 School of Informatics and Computing, 2 Pervasive Technology Institute India Efficient and scalable architectures to perform pleasingly parallel, MapReduce and iterative data intensive computations on cloud environments. Thilina. . Gunarathne. (tgunarat@indiana.edu). Advisor : . CloudCom. 2010. Indianapolis, Indiana, USA. Nov 30 – Dec 3, 2010. Azure . MapReduce. AzureMapReduce. A . MapRedue. runtime for Microsoft Azure using Azure cloud services. Azure Compute. Azure BLOB storage for in/out/intermediate data storage. 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. June 14 2012. Cloud and Autonomic Computing Center Spring 2012 Workshop. Cloud . Computing: from Cybersecurity to . Intercloud. University of Florida Gainesville. Geoffrey Fox. gcf@indiana.edu. . Soheila Abrishami. 1. Introduction. Cloud computing is emerging as an alternative to supercomputers for some of the high-performance computing (HPC) applications that do not require a fully dedicated machine. . Tibana. Carvalho. MSc. . . Student. @ GTA. Introduction. Cloud Computing. Provisioning of computing infrastructure. Move things to the cloud. Emerging area. Potential to transform IT industry. New aspects. on . Clouds. Thilina. . Gunarathne. (tgunarat@indiana.edu). Advisor : . Prof.Geoffrey. . Fox (gcf. @indiana.edu). Committee . : . Prof.Judy. . Qiu. , . Prof.Beth. . Plale. , . Prof.David. . Leake. Phil Pennington. Sr. Developer Evangelist. Microsoft Corporation. SESSION CODE: WSV325. Required Slide. AGENDA. Technical_Computing. = Parallel (Platform Tools Solvers Analysis);. Technical Computing @ Microsoft. 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]. . Supercomputers are tightly integrated computer systems, dedicated to running a specialized task. Quantum mechanics. Weather forecasting / climate research. Oil / gas exploration. Physical simulations etc.. 1. Morgan Kauffman, USA. McGraw Hill, India. China Machine Press, China. Unit 5 : . Use Cases of Cloud Applications. Scientific Applications. Health care Analysis in the Cloud. Biology . Geo Science. Authors. : . Qiang. . Lu*, . You . Xu. †, . Ruoyun. Huang†, . Yixin. Chen† and . Guoliang. . Chen* from. *University . of Science and Technology of . China. †Washington . University in St. .

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