PPT-Supporting Cloud Computing with the Virtual Block Store Sys

Xiaoming Gao gao4indianaedu Mike Lowe jomloweiupuiedu Yu Ma yumaindianaedu Marlon Pierce mpiercecsindianaedu Outline Motivation Typical use cases Web service architecture. Opportunities. Agenda. Who is Evolve IP. Quick Technology Overview. Client Motivators. Identifying and Qualifying Cloud Opportunity. The Prize. The Nation’s . Only . Single-Source Cloud Services Provider. Xiaoming. . Gao. , . gao4@indiana.edu. Mike Lowe, . jomlowe@iupui.edu. Yu Ma, . yuma@indiana.edu. Marlon Pierce, . mpierce@cs.indiana.edu. . Outline. Motivation. Typical use cases. Web service architecture. FAULT-TOLERANT. . DATA STORAGE MANAGEMENT. by. Prince Steve Kamanke. Supervisor : Antoine . Bagula. Mentor : Samson . Akintoye. 1. Brief Recap. Goals & Objectives. The Simulation Model : CloudSim. Emerging Architectures Session. USA Research Summaries. Presented by Jose Fortes. Contributions by :. Peter Dinda, Renato Figueiredo, Manish Parashar, Judy Qiu, Jose Fortes . Enterprises. Social networks. 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]. . What is Cloud . Computing?. Cloud Computing. Virtualized distributed processing, storage, and software resources and a service.. Delivering computing as a on-demand, pay-as-you-go service.. "clouds are a large pool of easily usable and accessible virtualized resources (such as hardware, development platforms and/or services). These resources can be dynamically reconfigured to adjust to a variable load (scale), allowing also for an optimum resource utilization. This pool of resources is typically exploited by a pay-per-use model in which guarantees are offered by the Infrastructure Provider by means of customized Service Level Agreements." Vaquero et al.. Cloud Components. 1. Clients: . Clients are the devices that the end users interact with to manage their information on the cloud.. Mobile. Thin. Thick. 2. Datacenters: . The datacenters is the collection of servers where the application to which you subscribe is housed.. Harold Castro, . Ph.D.. Associate professor. Systems and Computing Engineering. COMIT (Communications and IT) Research Group. IMAGINE Research Group. http://sistemas.uniandes.edu.co/~comit. http://imagine.uniandes.edu.co. 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). Leila B.. Quick Survey. Does anyone have a lot of files on their computer but . dosen’t. have the space to store them?. Do you worry about losing files?. Do you want your files to be secure and easily accessible?. , 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. Cloud Computing. Cloud Network. Che. -Rung Lee. Outline. Ｎ. etwork. . overview. Data . center network. Network virtualization. 12/13/2011. NTHU CS5421 Cloud Computing . 2. Protocol Stack. 12/13/2011. 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.. 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.