PPT-Cloud Computing What is Cloud Computing?

Cloud computing is a model for enabling convenient ondemand network access to a shared pool of configurable computing resources eg networks servers storage applications and services Mell2009 Berkely2009 . 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. 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?. Presented by : Ahmed Alalawi. Outline. Introduction. Cloud Computing Components.. Security Issues.. Information Security requirements (ISR). Policy Based and Layered Infrastructure Security :. Dynamic Infrastructure Security Model. 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. . 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. . 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. SLA Basics. Describes a set of non functional requirements of the service.. Example : RTO time – Return to Operation Time if case of failure. SLO – Service Level Objective. That is, the objective to be achieved.. 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. Publish . ：. 2012 . IEEE International Conference on . . . Computational . Intelligence and Computing Research. Authors . ：. Priya.A.Kotwal. , . Adwitiy.R.Singh. Time . Publish . ：. 2012 . IEEE International Conference on . . . Computational . Intelligence and Computing Research. Authors . ：. Priya.A.Kotwal. , . Adwitiy.R.Singh. Time . 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.