PPT-Cloud Computing Buil Schouten

Cloud Computing Cloud Computing Characteristics On demand service Use it as you needed 2 Network Access Uses internet as a medium 3 Share resources Resources are pooled together Used by multiple clients. How . can . the geospatial sciences . use and help . shape cloud . computing?. Chaowei. Yang , Michael . Goodchild. , . Qunying. Huang , Doug . Nebert. , . Robert . Raskin. . , Yan Xu , Myra . Bambacus. from the paper. Abovce the Clouds: A Berkeley View of Cloud Computing (Feb. 2009). Definitions (I). Cloud Computing refers to both the applications delivered as services over the Internet and the scalable hardware and systems software that provide those services. . The IT Technology Solution of the . Future. . Presented by: Chris Tryon. Key Considerations. When Making IT Investments. What does my business need and how . can technology . help me meet my goals?. 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). by. Liang-. Jie. Zhang and . Qun. Zhou. presented by:. Raghu. N . Avula. Introduction. Cloud Computing Open Architecture. “OSI” Model for Cloud Computing. 7 Principles of Cloud Computing Architecture. IT4GIS. Keith T. Weber, GISP. GIS Director. ISU-GIS Training and Research Center. Goal of this presentation. Describe and demystify “The Cloud”. What is it?. How is it different from web services?. 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. FAULT-TOLERANT. . DATA STORAGE MANAGEMENT. by. Prince Steve Kamanke. Supervisor : Antoine . Bagula. Mentor : Samson . Akintoye. 1. Brief Recap. Goals & Objectives. The Simulation Model : CloudSim. Ohio Information Security Forum. July 16. th. , . 2011. James . Walden, Ph.D.. Northern Kentucky University. 2. Topics. What is Cloud Computing?. The Same Old Security Problems. Virtualization Security. Learning Outcomes. Learning Outcomes. LO2. - Evaluate the deployment models, service models and technological drivers of Cloud Computing and validate their use.. Cloud Deployment models:. Private Cloud. Nidhibahen Patel. Sweta Patil. AGENDA. What is Cloud Computing?. Cloud Deployment Models. Cloud Delivery Models. Cloud Architecture. Challenges. Advantages. Disadvantages. Future of Cloud Computing. AGENDA. Publish . ：. 2012 . IEEE International Conference on . . . Computational . Intelligence and Computing Research. Authors . ：. Priya.A.Kotwal. , . Adwitiy.R.Singh. Time . 1. Heru. . Suhartanto. Faculty of Computer Science, . Universitas. Indonesia. E-mail: . heru@cs.ui.ac.id. Presented at University of YARSI. – General Course – on 27-th April 2011. A revised version of presentation at ICACSIS2010, . Prof. . Raffaele Montella, Ph.D.. http://raffaelemontella.it. raffaele.montella@uniparthenope.it. Outline - Computing in the Cloud. Introduction. Computing as a service. Virtualization and Containerization.