PPT-Cloud Computing Large-scale
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Resource Management II Eva Kalyvianaki ek264camacuk Contents Apollo Scalable and Coordinated Scheduling for CloudScale Computing by Eric Boutin Jaliya Ekanayake
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Cloud Computing Large-scale: Transcript
Resource Management II Eva Kalyvianaki ek264camacuk Contents Apollo Scalable and Coordinated Scheduling for CloudScale Computing by Eric Boutin Jaliya Ekanayake Wei Lin Bing Shi and . Image from ESO. Accretion to Supermassive Black Hole. a: Ho, . Filippenko. & Sargent 1997a. 10^6Mo. 10^8 . yr. Angular Momentum Problem. Specific angular momentum of matter at r=10kpc to the last stable orbit: 100,000:1. 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.. Abstract. Cloud computing economically enables customers with limited computational resources to outsource large-scale computations to the cloud. . However, how to protect customers’ confidential data involved in the computations then becomes a major security concern. In this paper, we present a secure outsourcing mechanism for solving large-scale systems of linear equations (LE) in cloud.. FAULT-TOLERANT. . DATA STORAGE MANAGEMENT. by. Prince Steve Kamanke. Supervisor : Antoine . Bagula. Mentor : Samson . Akintoye. 1. Brief Recap. Goals & Objectives. The Simulation Model : CloudSim. 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]. . . and . Venus-C. Fabrizio Gagliardi. Microsoft Research. . Europe. External Research, Director. Introduction. Happy to be here after having left the leadership of EGEE in 2005. Good to see EGEE coming to a successful end, having spun off EGI-Inspire. Maddi . Enekoitz. LB1E. . Cloud Computing . sare. batera . konektatua. . dagoen. . serbidore. baten programa eta . zerbitzu. . multzoa. da. Internet . daukan. . edozein. . ordenagailutik. . EGI Technical Forum 2012 . The Clarion Congress Hotel, . Freyova. 945/33, Prague. 18 September 2012. Andrew Lyall PhD, ELIXIR Project Manager. Distributed Computing for Life-Sciences &. . Medical Research in the Genome-Age.. Used slides from RAD Lab at UC Berkeley about the cloud ( . http://abovetheclouds.cs.berkeley.edu/. ) and slides from Jimmy Lin. ’. s slides (http://www.umiacs.umd.edu/~jimmylin/cloud-2010-Spring/index.html) (licensed under Creation Commons Attribution 3.0 License). , 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. 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. Keith Chadwick. Grid & Cloud Computing Department. Fermilab. Work supported by the U.S. Department of Energy under contract No. DE-AC02-07CH11359. Acknowledgements. Many of these slides have been copied from a recent Fermilab Computing Division “briefing” on Virtualization and Could Computing.. 6/23/2010. 1. Outline of the talk. Introduction to . cloud context. Technology context: multi-core, virtualization, 64-bit processors, parallel computing models, big-data storages…. Cloud models: IaaS. Chapter-8. KEC, . Dhapakhel. 1. Big Data. Big Data applies to information that can’t be processed or analyzed using traditional processes or tools.. 2. Techniques for Voluminous Data. Cloud Computing is an efficient method to balance between...
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