PPT-Mastering Cloud Computing

Rajkumar Buyya Christian Vecchiola Thamarai Selvi Chapters Part I Foundations Chapter 1 Introduction Chapter 2 Principles of Parallel and Distributed Computing Chapter 3 Virtualization . Usage in Geo-Spatial Sciences. Topics. Problem Statement. Define the problem. Significance in context of the course. Key . Concepts. Cloud Computing. Spatial Cloud Computing. Major Contributions of the paper . 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. 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?. 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. 3. rd. Year student at University of Eastern Africa, Baraton (UEAB). Microsoft Student Partner. http://twitter.com/mtotowajirani. http://twitter.com/mtotowajirani. How do we give people access to information and other resources that will enable them . 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. Table of contents:. 1. What is the Cloud?. 2. Cloud Computing Service Models.. - Software as a Service (SaaS).. - Platform as a Service (PaaS).. - Infrastructure as a Service (IaaS).. 3. Benefits of Cloud Computing.. 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. 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.