PPT-Cloud Computing John McSpedon

Why Parallel Computation Traditional Moores Law Signal Propagation Memory Access Latency Huge Datasets Moores Law Power Density Signal Propagation Internal signals propagate at ⅔ . 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. 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). 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. 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. 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]. . 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. Mike . Pangburn. Relevance to companies?. Cloud . Computing will be of particular relevance to the following types of firms:. Cash-lean firms. Firms not already heavily invested in previously installed systems/software. , 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.