PPT-Parallel Applications And Tools For Cloud Computing Environ

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 inoutintermediate data storage. Dr. Peter DePasquale. The . College of New Jersey. Computer Science. Overview. Introduction to cloud computing. Introduction to Amazon Web Services (AWS). Hands-On portion. Work with your own virtual server (via my AWS account). Goals for Rest of Course. Learn how to program massively parallel processors and achieve. high performance. functionality and maintainability. scalability across future generations. Acquire technical knowledge required to achieve the above goals. Efficient and scalable architectures to perform pleasingly parallel, MapReduce and iterative data intensive computations on cloud environments. Thilina. . Gunarathne. (tgunarat@indiana.edu). Advisor : . . Jared, Lee, Jonathan, Mike. What is this “Cloud Computing”?. Cloud computing is Internet-based computing, whereby shared resources, software, and information are provided to computers and other devices on demand. Michael . Armbrust. Armando Fox. Rean. Griffith. Anthony D. Joseph. Randy H. Katz. Andrew . Konwinski. Gunho. Lee. David A. Patterson. Ariel . Rabkin. Ion . Stoica. Matei. . Zaharia. Electrical Engineering and Computer Sciences. You are probably already familiar with the unmet demand for cloud computing skills in the job market. Now you want to figure out what the best path forward will be, given your experience, your interests, your goals, and the market needs. This learning path will introduce you to cloud computing in general, then give you insight into the three major platforms - Amazon Web Service (AWS), Microsoft's Azure, and Google Cloud Platform - before outlining career opportunities by role. Phil Pennington. Sr. Developer Evangelist. Microsoft Corporation. SESSION CODE: WSV325. Required Slide. AGENDA. Technical_Computing. = Parallel (Platform Tools Solvers Analysis);. Technical Computing @ Microsoft. Supercomputers are tightly integrated computer systems, dedicated to running a specialized task. Quantum mechanics. Weather forecasting / climate research. Oil / gas exploration. Physical simulations etc.. Publish . ：. 2012 . IEEE International Conference on . . . Computational . Intelligence and Computing Research. Authors . ：. Priya.A.Kotwal. , . Adwitiy.R.Singh. Time . 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. Publish . ：. 2012 . IEEE International Conference on . . . Computational . Intelligence and Computing Research. Authors . ：. Priya.A.Kotwal. , . Adwitiy.R.Singh. Time . Managing Federal Records in. Cloud Computing Environments. Arian D. Ravanbakhsh. Electronic Records Policy Specialist. RACO Chicago August 24, 2010. Outline. Context/Background re. Cloud Computing. Use scenarios. , 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. Topic . 08 - Mobile Social Cloud Computing. D5627 – I Gede Putra Kusuma Negara, B.Eng., PhD. Outline. Introduction. Mobile Social Cloud Architecture. Resource Sharing in Mobile Social Cloud. Warehousing and Analyzing Social Data Using Cloud.