PPT-Summary of Cloud Computing (CC)

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 . 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 . 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. 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?. . 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. FAULT-TOLERANT. . DATA STORAGE MANAGEMENT. by. Prince Steve Kamanke. Supervisor : Antoine . Bagula. Mentor : Samson . Akintoye. 1. Brief Recap. Goals & Objectives. The Simulation Model : CloudSim. 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 . 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.. 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]. . 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 . fifemon-pp.fnal.gov/dashboard/db/scd-summary-cms. Dsik. problem on job submission component over the weekend. . Stopped opportunistic usage. Now fixed. . Continued . good IF usage of empty slots. . SCD Computing Summary. 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, . , 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. 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.