PPT-CAP Theorem CSE 40822-Cloud Computing-Fall 2014

Prof Dong Wang CAP Theorem Conjectured by Prof Eric Brewer at PODC Principle of Distributed Computing 2000 keynote talk Described the tradeoffs involved in distributed system It is impossible for a web service to provide following . CSE 40822-Cloud Computing-Fall 2014. Prof. Dong Wang. CAP Theorem. Conjectured by Prof. Eric Brewer at . PODC (Principle of Distributed Computing) . 2000 keynote talk. Described the . trade-offs involved in distributed system. An In-Depth Discussion. Introductions. Nathaniel Gates – President of Cloud49, Anchorage . AK. Nathaniel Gates is a lifelong Alaskan who understands the unique challenges businesses face operating in the Last Frontier. Nathaniel has worked in multiple industries including petroleum, oilfield services, government contracting and at Alaska Native Corporations. Nathaniel has held nearly every IT position at some time during his career, from desktop support technician to the Chief Information Officer of a billion-dollar corporation. This diversity of duties and experience has uniquely equipped Nathaniel to accurately gauge business requirements and implement appropriate technological solutions for the benefit of the business. . 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?. 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. 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 . 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]. . Autumn 2012. Lecture 1. Propositional Logic. 1. About the course. From the CSE catalog:. CSE 311 Foundations of Computing I (4) . Examines fundamentals of logic, set theory, induction, and algebraic structures with applications to computing; finite state machines; and limits of computability. Prerequisite: CSE 143; either MATH 126 or MATH 136. . Publish . ：. 2012 . IEEE International Conference on . . . Computational . Intelligence and Computing Research. Authors . ：. Priya.A.Kotwal. , . Adwitiy.R.Singh. Time . 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, . COS 418: Distributed Systems. Lecture 12. Wyatt Lloyd. Outline. Network Partitions. Linearizability. CAP Theorem. Consistency Hierarchy. Network Partitions Divide Systems. Network Partitions Divide Systems. , 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.