PPT-Data Intensive and Cloud Computing

Data Streams Slides based on Chapter 4 in Mining Data Streams What is time series data Data that is observed or measured at points in time Timestamp Fixed periods eg hours days months or years. 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 . 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. . 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. . 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. 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. 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]. . 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. Mitsunobu Narita. Sarah Jane Awopejo . Dorothy Scott. Meeka San Diego. Ian Joel Rex Perera . Sirawich Siriruang. Kyla Nicole Villanueva. Athitiya Hatthiya. Cloud computing. means storing and accessing data and programs over the Internet instead of your computer's hard drive. The . Managing Federal Records in. Cloud Computing Environments. Arian D. Ravanbakhsh. Electronic Records Policy Specialist. RACO Chicago August 24, 2010. Outline. Context/Background re. Cloud Computing. Use scenarios. Learning Objectives. What is Cloud Computing?. Cloud Characteristics. Cloud Benefits. What is pay-as-you-go?. Economies of Scale. As-a-service models: IaaS, PaaS, SaaS. Cloud deployment models: private, public, and hybrid clouds. Computer Science. Purdue University. Research in Cloud Computing. YounSun Cho. cho52@cs.purdue.edu. Computer Science. Purdue University. Anya Kim. anya.kim@nrl.navy.mil. Naval Research Lab. Talk Objectives. 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.