PPT-Programming Model Support for Dependable, Elastic Cloud App

WeiChiu Chuang Bo Sang Charles Killian Milind Kulkarni 1 Motivation Elasticity Dependability Implementation Conclusion 2 Motivation Cloud in Reality 3 Motivation Imagine an ideal world. Presented by Paul. Problem. The cloud offers. Near infinite computing capabilities. Near infinite storage. On-demand access to new VMs. Pay-as-you-go model. But how do you build an application to automatically take advantage of those resources?. supercavitating. hydrofoil. Yuri Antipov. Department of Mathematics . Louisiana State University. Baton Rouge, Louisiana. Singapore, August 16, 2012. Outline. 1. A . supercavitating. curvilinear elastic hydrofoil: . James Larus. Microsoft Research. Mysore-Park Workshop on . Cloud Computing. Mysore India, January 13, 2010. What is Cloud Computing?. More Than Amazon Web Services / Microsoft Azure / Google AppEngine. Prepared By:. SAPAN SHAH. www.logandata.com. 1. What is Snap Logic?. SnapLogic Integration Cloud. What should SnapLogic Designer do?. What should SnapLogic Manager do?. What should SnapLogic Dashboard Do?. Computing. What is Cloud Computing?. 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]. . Chapter 10 Dependable Systems. 1. Topics covered. Dependability properties. Sociotechnical systems. Redundancy and diversity. Dependable processes. Formal methods and dependability. Chapter 10 Dependable Systems. Kit . How to estimate and measure “the Cloud”. COCOMO 2012. October 2012. David Seaver. OPS Consulting. davidseaver@opsconsulting.com. Some Perspective. The DoD Cloud Computing Strategy introduces an approach to move the Department from the current state of a duplicative, cumbersome, and costly set of application silos to an end state which is an agile, secure, and cost effective service environment that can rapidly respond to changing mission needs.. Private, Hybrid, and Lesser-Known Models for Partners. Lee Bank. Senior Director of Alliances & Channels. Oracle Financing. January 2015. 2. Creating Competitive Advantage . Give partners the option to provide perpetual license rights at the end of the service term. Towards Integration of . IoT, People, and Clouds. WKO 5-5-2015, Wien. Schahram. . Dustdar. Distributed . Systems . Group. TU Vienna. dsg.tuwien.ac.at. Acknowledgements. NOTE: The . content. . includes. highly dependable,. critical software. Roger L. Costello. October 15, 2017. View the “Notes” section. I added notes under each slide.. Be sure to read the notes.. Traditional approach. Test the heck out of it.. 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]. . Weifeng Li and . Hsinchun. Chen. Credits: Hui Zou, University of Minnesota. Trevor Hastie, Stanford University. Robert . Tibshirani. , Stanford University. 1. Outline. Logistic Regression. Why Logistic Regression?. Presented by Paul. Problem. The cloud offers. Near infinite computing capabilities. Near infinite storage. On-demand access to new VMs. Pay-as-you-go model. But how do you build an application to automatically take advantage of those resources?. Karim Chine. karim.chine@cloudera.co.uk. Cloud . Era. Ltd . Cambridge . – UK. PRISM Forum. Cloud . Computing. . SIG Meeting. 18 May 2010. ,lingua franca . of data . analysis. From: John Fox, Aspects .